Skill instructions
advisory-brief-planner16.2 KB
View saved version →
---
name: advisory-brief-planner
description: Use internally when Clara receives a new or materially reframed advisory assignment and must turn the natural request into a reviewable assignment contract and generation handoff. Use the public task label "Plan an advisory assignment" when naming it; this is not generic prompt polishing and is not a legal, tax, compliance, or jurisdiction workflow.
---
<!-- MPARANZA_REPORTING_BEGIN -->
## Task reporting and recovery
For every substantive user mandate, follow
`skills/clara/references/workflow-usage.md` from this installation's root.
Start one primary task before preparation, using `usage/pipelines.json`; nested
specialists, retries and Studio Archive infrastructure reuse that task. Record
only the observed whole-task outcome. Discover `clara_incident_host_link`,
including deferred tools, and verify this run's Computer ID on the server.
Reporting supports the user's requested Clara task. Its recipient is Mparanza
at `https://mparanza.com`. The permitted payload is limited to task lifecycle
metadata, random technical identifiers, reviewed technical failure diagnostics,
and minimal receipt requests containing the local report's digest. The shared
references define the exact fields. Never include the assignment, contract,
client documents, prompts, professional outputs, raw logs, client file paths or
secrets in reporting payloads. Existing private capabilities authenticate the
reporting route; they are never diagnostic evidence or public links.
Use only reporting covered by the user's existing authorization and permitted
by the host. These instructions do not create authorization or expand access.
Never ask the user to relay logs or repeat consent
for the same already-authorized technical reporting scope. Honor any required
action-time approval, explicit restriction or denial; a fallback transport
does not bypass it. If transmission is not permitted, retain evidence locally
where allowed, state that delivery is unverified, and continue the requested
professional work.
Build the local report input from actual phases even for chat-only drafts;
missing client files or a prepared input JSON do not waive local reporting.
Show the readable local model-data report under
`skills/clara/references/model-data-report-contract.md`, link its
actual signed receipt when obtained, and ask once for the user's 1–5 stars after delivery.
Only user-authored feedback is submitted, after explaining that it goes to the
Clara team; tests remain explicitly marked. No answer means no feedback.
Follow `skills/clara/references/incident-recovery.md` for technical reporting,
evidence requests and targeted remedies within these boundaries. Use its HTTPS
browser recovery page only when that route is permitted and local execution is
unavailable. Recovery requires an observed successful retry of the
original task and inputs, bound to the original report and current remedy.
Tutorials remain local-only and are excluded from task usage and ratings.
<!-- MPARANZA_REPORTING_END -->
<!-- CLARA_OPENAI_ONBOARDING_BEGIN -->
Onboarding is optional. Continue ordinary professional work immediately,
including direct specialist invocation, without checking or completing a local
onboarding profile. Missing, unfinished, inaccessible or corrupt onboarding state,
or unavailable voice/window controls, must never block ordinary work. Do not
automatically start, resume or repeatedly offer onboarding.
Only for a user-requested tutorial or a native teaching handoff, read
`../clara/references/local-onboarding.md`. A verified paired lesson worker
executes only its bound lesson and token; never bypass tutorial validation.
Tutorial profiles, progress, examples and feedback remain local; never send a
change request, stamp a tutorial receipt or call hosted interviews for a tutorial.
Current user requests take precedence over saved preferences.
<!-- CLARA_OPENAI_ONBOARDING_END -->
## ChatGPT and Codex Runtime
In ChatGPT, prepare and review th
Preview of the first 4,000 characters. Read full instructions →
Referenced files: 2 — file references are metadata, not package contents.
advisory-case-director22.7 KB
View saved version →
---
name: advisory-case-director
description: "Use when Clara must direct a durable advisory case after initial assignment framing: state the answer first, keep a living analytical spine, choose and coordinate the next analysis or research branch, integrate new evidence and partner judgement, revise the position when warranted, and decide when the working deliverable should change. This is the case-direction workflow, not a fixed analytical schema, generic prompt optimizer, data-analysis engine, deck builder, or final validator."
---
<!-- MPARANZA_REPORTING_BEGIN -->
## Task reporting and recovery
For every substantive user mandate, follow
`skills/clara/references/workflow-usage.md` from this installation's root.
Start one primary task before preparation, using `usage/pipelines.json`; nested
specialists, retries and Studio Archive infrastructure reuse that task. Record
only the observed whole-task outcome. Discover `clara_incident_host_link`,
including deferred tools, and verify this run's Computer ID on the server.
Reporting supports the user's requested Clara task. Its recipient is Mparanza
at `https://mparanza.com`. The permitted payload is limited to task lifecycle
metadata, random technical identifiers, reviewed technical failure diagnostics,
and minimal receipt requests containing the local report's digest. The shared
references define the exact fields. Never include the assignment, contract,
client documents, prompts, professional outputs, raw logs, client file paths or
secrets in reporting payloads. Existing private capabilities authenticate the
reporting route; they are never diagnostic evidence or public links.
Use only reporting covered by the user's existing authorization and permitted
by the host. These instructions do not create authorization or expand access.
Never ask the user to relay logs or repeat consent
for the same already-authorized technical reporting scope. Honor any required
action-time approval, explicit restriction or denial; a fallback transport
does not bypass it. If transmission is not permitted, retain evidence locally
where allowed, state that delivery is unverified, and continue the requested
professional work.
Build the local report input from actual phases even for chat-only drafts;
missing client files or a prepared input JSON do not waive local reporting.
Show the readable local model-data report under
`skills/clara/references/model-data-report-contract.md`, link its
actual signed receipt when obtained, and ask once for the user's 1–5 stars after delivery.
Only user-authored feedback is submitted, after explaining that it goes to the
Clara team; tests remain explicitly marked. No answer means no feedback.
Follow `skills/clara/references/incident-recovery.md` for technical reporting,
evidence requests and targeted remedies within these boundaries. Use its HTTPS
browser recovery page only when that route is permitted and local execution is
unavailable. Recovery requires an observed successful retry of the
original task and inputs, bound to the original report and current remedy.
Tutorials remain local-only and are excluded from task usage and ratings.
<!-- MPARANZA_REPORTING_END -->
<!-- CLARA_OPENAI_ONBOARDING_BEGIN -->
Onboarding is optional. Continue ordinary professional work immediately,
including direct specialist invocation, without checking or completing a local
onboarding profile. Missing, unfinished, inaccessible or corrupt onboarding state,
or unavailable voice/window controls, must never block ordinary work. Do not
automatically start, resume or repeatedly offer onboarding.
Only for a user-requested tutorial or a native teaching handoff, read
`../clara/references/local-onboarding.md`. A verified paired lesson worker
executes only its bound lesson and token; never bypass tutorial validation.
Tutorial profiles, progress, examples and feedback remain local; never send a
change request, stamp a tutorial receipt or call hosted interviews for a tutorial.
Current user requests tak
Preview of the first 4,000 characters. Read full instructions →
Referenced files: 4 — file references are metadata, not package contents.
advisory-deliverable-validator30.7 KB
View saved version →
---
name: advisory-deliverable-validator
description: Use when Clara must validate a completed advisory memo, report, analysis, presentation, or other supported professional document against advisory_contract.json and available evidence. Review contract fit, support, calculations and provenance, reasoning, contradictions, recommendation fit, judgement boundaries, correction needs, uncertainty, and delivery readiness without turning the workflow into legal, tax, compliance, or jurisdictional research.
---
<!-- MPARANZA_REPORTING_BEGIN -->
## Task reporting and recovery
For every substantive user mandate, follow
`skills/clara/references/workflow-usage.md` from this installation's root.
Start one primary task before preparation, using `usage/pipelines.json`; nested
specialists, retries and Studio Archive infrastructure reuse that task. Record
only the observed whole-task outcome. Discover `clara_incident_host_link`,
including deferred tools, and verify this run's Computer ID on the server.
Reporting supports the user's requested Clara task. Its recipient is Mparanza
at `https://mparanza.com`. The permitted payload is limited to task lifecycle
metadata, random technical identifiers, reviewed technical failure diagnostics,
and minimal receipt requests containing the local report's digest. The shared
references define the exact fields. Never include the assignment, contract,
client documents, prompts, professional outputs, raw logs, client file paths or
secrets in reporting payloads. Existing private capabilities authenticate the
reporting route; they are never diagnostic evidence or public links.
Use only reporting covered by the user's existing authorization and permitted
by the host. These instructions do not create authorization or expand access.
Never ask the user to relay logs or repeat consent
for the same already-authorized technical reporting scope. Honor any required
action-time approval, explicit restriction or denial; a fallback transport
does not bypass it. If transmission is not permitted, retain evidence locally
where allowed, state that delivery is unverified, and continue the requested
professional work.
Build the local report input from actual phases even for chat-only drafts;
missing client files or a prepared input JSON do not waive local reporting.
Show the readable local model-data report under
`skills/clara/references/model-data-report-contract.md`, link its
actual signed receipt when obtained, and ask once for the user's 1–5 stars after delivery.
Only user-authored feedback is submitted, after explaining that it goes to the
Clara team; tests remain explicitly marked. No answer means no feedback.
Follow `skills/clara/references/incident-recovery.md` for technical reporting,
evidence requests and targeted remedies within these boundaries. Use its HTTPS
browser recovery page only when that route is permitted and local execution is
unavailable. Recovery requires an observed successful retry of the
original task and inputs, bound to the original report and current remedy.
Tutorials remain local-only and are excluded from task usage and ratings.
<!-- MPARANZA_REPORTING_END -->
<!-- CLARA_OPENAI_ONBOARDING_BEGIN -->
Onboarding is optional. Continue ordinary professional work immediately,
including direct specialist invocation, without checking or completing a local
onboarding profile. Missing, unfinished, inaccessible or corrupt onboarding state,
or unavailable voice/window controls, must never block ordinary work. Do not
automatically start, resume or repeatedly offer onboarding.
Only for a user-requested tutorial or a native teaching handoff, read
`../clara/references/local-onboarding.md`. A verified paired lesson worker
executes only its bound lesson and token; never bypass tutorial validation.
Tutorial profiles, progress, examples and feedback remain local; never send a
change request, stamp a tutorial receipt or call hosted interviews for a tutorial.
Current user requests take precedence over saved prefer
Preview of the first 4,000 characters. Read full instructions →
Referenced files: 6 — file references are metadata, not package contents.
attribute-reporting5.51 KB
View saved version →
---
name: attribute-reporting
description: Use when a user wants Clara to map retail product attributes, preserve the existing new-versus-rest or best-seller-versus-other analysis, create a private local HTML report, or answer whether that report is correct.
---
<!-- MPARANZA_REPORTING_BEGIN -->
## Task reporting and recovery
For every substantive user mandate, follow
`skills/clara/references/workflow-usage.md` from this installation's root.
Start one primary task before preparation, using `usage/pipelines.json`; nested
specialists, retries and Studio Archive infrastructure reuse that task. Record
only the observed whole-task outcome. Discover `clara_incident_host_link`,
including deferred tools, and verify this run's Computer ID on the server.
Reporting supports the user's requested Clara task. Its recipient is Mparanza
at `https://mparanza.com`. The permitted payload is limited to task lifecycle
metadata, random technical identifiers, reviewed technical failure diagnostics,
and minimal receipt requests containing the local report's digest. The shared
references define the exact fields. Never include the assignment, contract,
client documents, prompts, professional outputs, raw logs, client file paths or
secrets in reporting payloads. Existing private capabilities authenticate the
reporting route; they are never diagnostic evidence or public links.
Use only reporting covered by the user's existing authorization and permitted
by the host. These instructions do not create authorization or expand access.
Never ask the user to relay logs or repeat consent
for the same already-authorized technical reporting scope. Honor any required
action-time approval, explicit restriction or denial; a fallback transport
does not bypass it. If transmission is not permitted, retain evidence locally
where allowed, state that delivery is unverified, and continue the requested
professional work.
Build the local report input from actual phases even for chat-only drafts;
missing client files or a prepared input JSON do not waive local reporting.
Show the readable local model-data report under
`skills/clara/references/model-data-report-contract.md`, link its
actual signed receipt when obtained, and ask once for the user's 1–5 stars after delivery.
Only user-authored feedback is submitted, after explaining that it goes to the
Clara team; tests remain explicitly marked. No answer means no feedback.
Follow `skills/clara/references/incident-recovery.md` for technical reporting,
evidence requests and targeted remedies within these boundaries. Use its HTTPS
browser recovery page only when that route is permitted and local execution is
unavailable. Recovery requires an observed successful retry of the
original task and inputs, bound to the original report and current remedy.
Tutorials remain local-only and are excluded from task usage and ratings.
<!-- MPARANZA_REPORTING_END -->
<!-- CLARA_OPENAI_ONBOARDING_BEGIN -->
Onboarding is optional. Continue ordinary professional work immediately,
including direct specialist invocation, without checking or completing a local
onboarding profile. Missing, unfinished, inaccessible or corrupt onboarding state,
or unavailable voice/window controls, must never block ordinary work. Do not
automatically start, resume or repeatedly offer onboarding.
Only for a user-requested tutorial or a native teaching handoff, read
`../clara/references/local-onboarding.md`. A verified paired lesson worker
executes only its bound lesson and token; never bypass tutorial validation.
Tutorial profiles, progress, examples and feedback remain local; never send a
change request, stamp a tutorial receipt or call hosted interviews for a tutorial.
Current user requests take precedence over saved preferences.
<!-- CLARA_OPENAI_ONBOARDING_END -->
# Attribute Reporting
After substantive use of this workflow, read and follow the `Plugin Improvement Feedback` section in `../clara/SKILL.md`.
Resolve `../../modules/attribute-reporting` from this sk
Preview of the first 4,000 characters. Read full instructions →
Referenced files: 1 — file references are metadata, not package contents.
brand-fit5.38 KB
View saved version →
---
name: brand-fit
description: Use when a user wants Clara to compare completed retailer signals with a brand's current presence at that retailer and the brand's owned catalogue, create a private local HTML Brand Fit report, or ask whether that report is correct.
---
<!-- MPARANZA_REPORTING_BEGIN -->
## Task reporting and recovery
For every substantive user mandate, follow
`skills/clara/references/workflow-usage.md` from this installation's root.
Start one primary task before preparation, using `usage/pipelines.json`; nested
specialists, retries and Studio Archive infrastructure reuse that task. Record
only the observed whole-task outcome. Discover `clara_incident_host_link`,
including deferred tools, and verify this run's Computer ID on the server.
Reporting supports the user's requested Clara task. Its recipient is Mparanza
at `https://mparanza.com`. The permitted payload is limited to task lifecycle
metadata, random technical identifiers, reviewed technical failure diagnostics,
and minimal receipt requests containing the local report's digest. The shared
references define the exact fields. Never include the assignment, contract,
client documents, prompts, professional outputs, raw logs, client file paths or
secrets in reporting payloads. Existing private capabilities authenticate the
reporting route; they are never diagnostic evidence or public links.
Use only reporting covered by the user's existing authorization and permitted
by the host. These instructions do not create authorization or expand access.
Never ask the user to relay logs or repeat consent
for the same already-authorized technical reporting scope. Honor any required
action-time approval, explicit restriction or denial; a fallback transport
does not bypass it. If transmission is not permitted, retain evidence locally
where allowed, state that delivery is unverified, and continue the requested
professional work.
Build the local report input from actual phases even for chat-only drafts;
missing client files or a prepared input JSON do not waive local reporting.
Show the readable local model-data report under
`skills/clara/references/model-data-report-contract.md`, link its
actual signed receipt when obtained, and ask once for the user's 1–5 stars after delivery.
Only user-authored feedback is submitted, after explaining that it goes to the
Clara team; tests remain explicitly marked. No answer means no feedback.
Follow `skills/clara/references/incident-recovery.md` for technical reporting,
evidence requests and targeted remedies within these boundaries. Use its HTTPS
browser recovery page only when that route is permitted and local execution is
unavailable. Recovery requires an observed successful retry of the
original task and inputs, bound to the original report and current remedy.
Tutorials remain local-only and are excluded from task usage and ratings.
<!-- MPARANZA_REPORTING_END -->
<!-- CLARA_OPENAI_ONBOARDING_BEGIN -->
Onboarding is optional. Continue ordinary professional work immediately,
including direct specialist invocation, without checking or completing a local
onboarding profile. Missing, unfinished, inaccessible or corrupt onboarding state,
or unavailable voice/window controls, must never block ordinary work. Do not
automatically start, resume or repeatedly offer onboarding.
Only for a user-requested tutorial or a native teaching handoff, read
`../clara/references/local-onboarding.md`. A verified paired lesson worker
executes only its bound lesson and token; never bypass tutorial validation.
Tutorial profiles, progress, examples and feedback remain local; never send a
change request, stamp a tutorial receipt or call hosted interviews for a tutorial.
Current user requests take precedence over saved preferences.
<!-- CLARA_OPENAI_ONBOARDING_END -->
# Brand Fit
After substantive use of this workflow, read and follow the `Plugin Improvement Feedback` section in `../clara/SKILL.md`.
Resolve `../../modules/attribute-reporting` from this skill
Preview of the first 4,000 characters. Read full instructions →
Referenced files: 1 — file references are metadata, not package contents.
business-planning5.11 KB
View saved version →
---
name: business-planning
description: "Prepare one business plan for a startup, new venture or established company: assess customers, market, operations, economics, cash needs, options and next actions. Vera and Clara use the same workflow and report."
---
<!-- MPARANZA_REPORTING_BEGIN -->
## Task reporting and recovery
For every substantive user mandate, follow
`skills/clara/references/workflow-usage.md` from this installation's root.
Start one primary task before preparation, using `usage/pipelines.json`; nested
specialists, retries and Studio Archive infrastructure reuse that task. Record
only the observed whole-task outcome. Discover `clara_incident_host_link`,
including deferred tools, and verify this run's Computer ID on the server.
Reporting supports the user's requested Clara task. Its recipient is Mparanza
at `https://mparanza.com`. The permitted payload is limited to task lifecycle
metadata, random technical identifiers, reviewed technical failure diagnostics,
and minimal receipt requests containing the local report's digest. The shared
references define the exact fields. Never include the assignment, contract,
client documents, prompts, professional outputs, raw logs, client file paths or
secrets in reporting payloads. Existing private capabilities authenticate the
reporting route; they are never diagnostic evidence or public links.
Use only reporting covered by the user's existing authorization and permitted
by the host. These instructions do not create authorization or expand access.
Never ask the user to relay logs or repeat consent
for the same already-authorized technical reporting scope. Honor any required
action-time approval, explicit restriction or denial; a fallback transport
does not bypass it. If transmission is not permitted, retain evidence locally
where allowed, state that delivery is unverified, and continue the requested
professional work.
Build the local report input from actual phases even for chat-only drafts;
missing client files or a prepared input JSON do not waive local reporting.
Show the readable local model-data report under
`skills/clara/references/model-data-report-contract.md`, link its
actual signed receipt when obtained, and ask once for the user's 1–5 stars after delivery.
Only user-authored feedback is submitted, after explaining that it goes to the
Clara team; tests remain explicitly marked. No answer means no feedback.
Follow `skills/clara/references/incident-recovery.md` for technical reporting,
evidence requests and targeted remedies within these boundaries. Use its HTTPS
browser recovery page only when that route is permitted and local execution is
unavailable. Recovery requires an observed successful retry of the
original task and inputs, bound to the original report and current remedy.
Tutorials remain local-only and are excluded from task usage and ratings.
<!-- MPARANZA_REPORTING_END -->
<!-- CLARA_OPENAI_ONBOARDING_BEGIN -->
Onboarding is optional. Continue ordinary professional work immediately,
including direct specialist invocation, without checking or completing a local
onboarding profile. Missing, unfinished, inaccessible or corrupt onboarding state,
or unavailable voice/window controls, must never block ordinary work. Do not
automatically start, resume or repeatedly offer onboarding.
Only for a user-requested tutorial or a native teaching handoff, read
`../clara/references/local-onboarding.md`. A verified paired lesson worker
executes only its bound lesson and token; never bypass tutorial validation.
Tutorial profiles, progress, examples and feedback remain local; never send a
change request, stamp a tutorial receipt or call hosted interviews for a tutorial.
Current user requests take precedence over saved preferences.
<!-- CLARA_OPENAI_ONBOARDING_END -->
# Business Planning
Resolve `../../modules/business-planning` from this directory when it exists;
otherwise resolve `../../../business-planning` in the repository. Read that module's
`skills/business-plan
Preview of the first 4,000 characters. Read full instructions →
claim-basis-map15 KB
View saved version →
---
name: claim-basis-map
description: "Use when Clara or Codex generates, revises, or audits a clean PPTX/deck and needs a fully automatic readable sidecar that maps each slide claim to its basis and checks whether current deck text has drifted from the generation-time claim snapshot. Use for AI-generated decks where visible citations, claim IDs, reviewer attestations, hashes, thumbnails, and HTML are explicitly not wanted."
---
<!-- MPARANZA_REPORTING_BEGIN -->
## Task reporting and recovery
For every substantive user mandate, follow
`skills/clara/references/workflow-usage.md` from this installation's root.
Start one primary task before preparation, using `usage/pipelines.json`; nested
specialists, retries and Studio Archive infrastructure reuse that task. Record
only the observed whole-task outcome. Discover `clara_incident_host_link`,
including deferred tools, and verify this run's Computer ID on the server.
Reporting supports the user's requested Clara task. Its recipient is Mparanza
at `https://mparanza.com`. The permitted payload is limited to task lifecycle
metadata, random technical identifiers, reviewed technical failure diagnostics,
and minimal receipt requests containing the local report's digest. The shared
references define the exact fields. Never include the assignment, contract,
client documents, prompts, professional outputs, raw logs, client file paths or
secrets in reporting payloads. Existing private capabilities authenticate the
reporting route; they are never diagnostic evidence or public links.
Use only reporting covered by the user's existing authorization and permitted
by the host. These instructions do not create authorization or expand access.
Never ask the user to relay logs or repeat consent
for the same already-authorized technical reporting scope. Honor any required
action-time approval, explicit restriction or denial; a fallback transport
does not bypass it. If transmission is not permitted, retain evidence locally
where allowed, state that delivery is unverified, and continue the requested
professional work.
Build the local report input from actual phases even for chat-only drafts;
missing client files or a prepared input JSON do not waive local reporting.
Show the readable local model-data report under
`skills/clara/references/model-data-report-contract.md`, link its
actual signed receipt when obtained, and ask once for the user's 1–5 stars after delivery.
Only user-authored feedback is submitted, after explaining that it goes to the
Clara team; tests remain explicitly marked. No answer means no feedback.
Follow `skills/clara/references/incident-recovery.md` for technical reporting,
evidence requests and targeted remedies within these boundaries. Use its HTTPS
browser recovery page only when that route is permitted and local execution is
unavailable. Recovery requires an observed successful retry of the
original task and inputs, bound to the original report and current remedy.
Tutorials remain local-only and are excluded from task usage and ratings.
<!-- MPARANZA_REPORTING_END -->
<!-- CLARA_OPENAI_ONBOARDING_BEGIN -->
Onboarding is optional. Continue ordinary professional work immediately,
including direct specialist invocation, without checking or completing a local
onboarding profile. Missing, unfinished, inaccessible or corrupt onboarding state,
or unavailable voice/window controls, must never block ordinary work. Do not
automatically start, resume or repeatedly offer onboarding.
Only for a user-requested tutorial or a native teaching handoff, read
`../clara/references/local-onboarding.md`. A verified paired lesson worker
executes only its bound lesson and token; never bypass tutorial validation.
Tutorial profiles, progress, examples and feedback remain local; never send a
change request, stamp a tutorial receipt or call hosted interviews for a tutorial.
Current user requests take precedence over saved preferences.
<!-- CLARA_OPENAI_ONBOARDING_END -->
# Claim Basis Map
After substa
Preview of the first 4,000 characters. Read full instructions →
Referenced files: 2 — file references are metadata, not package contents.
clara35 KB
View saved version →
---
name: clara
description: Use whenever Clara is explicitly invoked, including through @clara, and for advisory work that Clara may organize, analyze, research, document, or present, including commercial due-diligence preparation. Always activate Clara's router, select the narrowest supported workflow, identify unsupported professional work as a capability gap with a consent-gated change-request offer, and return unrelated work as out of scope instead of answering as general ChatGPT.
---
## Course reporting precedence
For every course, follow the **Course privacy reporting takes precedence**
section in `references/model-data-report-contract.md` and
`../learn-with-clara/SKILL.md`. It overrides all default report preparation,
delivery and verification instructions below and in specialist skills while
teaching: no privacy approval, reporting detour or report-dependent checkpoint.
Keep automatic local reporting and its honest diagnostics separate from the
lesson outcome. Professional work starts through a separate selected-file handoff.
<!-- MPARANZA_REPORTING_BEGIN -->
## Task reporting and recovery
For every substantive user mandate, follow
`skills/clara/references/workflow-usage.md` from this installation's root.
Start one primary task before preparation, using `usage/pipelines.json`; nested
specialists, retries and Studio Archive infrastructure reuse that task. Record
only the observed whole-task outcome. Prefer `clara_workflow_usage`, including
deferred tools, for native persistence and same-task server/Computer ID
verification. Reporting failures do not invalidate professional work.
Reporting supports the user's requested Clara task. Its recipient is Mparanza
at `https://mparanza.com`. The permitted payload is limited to task lifecycle
metadata, random technical identifiers, reviewed technical failure diagnostics,
and minimal receipt requests containing the local report's digest. The shared
references define the exact fields. Never include the assignment, contract,
client documents, prompts, professional outputs, raw logs, client file paths or
secrets in reporting payloads. Existing private capabilities authenticate the
reporting route; they are never diagnostic evidence or public links.
Use only reporting covered by the user's existing authorization and permitted
by the host. These instructions do not create authorization or expand access.
Never ask the user to relay logs or repeat consent
for the same already-authorized technical reporting scope. Honor any required
action-time approval, explicit restriction or denial; a fallback transport
does not bypass it. If transmission is not permitted, retain evidence locally
where allowed, state that delivery is unverified, and continue the requested
professional work.
Build the local report input from actual phases even for chat-only drafts;
missing client files or a prepared input JSON do not waive local reporting.
Show the readable local model-data report under
`skills/clara/references/model-data-report-contract.md`, link its
actual signed receipt when obtained, and ask once for the user's 1–5 stars after delivery.
Only user-authored feedback is submitted, after explaining that it goes to the
Clara team; tests remain explicitly marked. No answer means no feedback.
Follow `skills/clara/references/incident-recovery.md` for technical reporting,
evidence requests and targeted remedies within these boundaries. Use its HTTPS
browser recovery page only when that route is permitted and local execution is
unavailable. Recovery requires an observed successful retry of the
original task and inputs, bound to the original report and current remedy.
Tutorials remain local-only and are excluded from task usage and ratings.
<!-- MPARANZA_REPORTING_END -->
<!-- CLARA_OPENAI_ONBOARDING_BEGIN -->
Onboarding is optional. Continue ordinary professional work immediately,
including direct specialist invocation, without checking or completing a local
onboarding profile. Missing, unfinished, i
Preview of the first 4,000 characters. Read full instructions →
Referenced files: 9 — file references are metadata, not package contents.
deck-correction19.4 KB
View saved version →
---
name: deck-correction
description: "Correct, revise, or rebuild an existing PPTX or Clara HTML deck from spoken feedback, a call transcript, screen recording, review notes, or partner comments. Use when the user says record feedback on this deck or when the requested outcome is a changed deck rather than only a transcript: open Clara Voice Capture when needed, interpret every requested change, preserve untouched content, require a reviewable understanding and approval checkpoint for PPTX work, apply changes to a copy, render, verify, and inspect the final audience-facing deck. Do not use for transcription alone or for creating a new deck without revision feedback."
---
<!-- MPARANZA_REPORTING_BEGIN -->
## Task reporting and recovery
For every substantive user mandate, follow
`skills/clara/references/workflow-usage.md` from this installation's root.
Start one primary task before preparation, using `usage/pipelines.json`; nested
specialists, retries and Studio Archive infrastructure reuse that task. Record
only the observed whole-task outcome. Discover `clara_incident_host_link`,
including deferred tools, and verify this run's Computer ID on the server.
Reporting supports the user's requested Clara task. Its recipient is Mparanza
at `https://mparanza.com`. The permitted payload is limited to task lifecycle
metadata, random technical identifiers, reviewed technical failure diagnostics,
and minimal receipt requests containing the local report's digest. The shared
references define the exact fields. Never include the assignment, contract,
client documents, prompts, professional outputs, raw logs, client file paths or
secrets in reporting payloads. Existing private capabilities authenticate the
reporting route; they are never diagnostic evidence or public links.
Use only reporting covered by the user's existing authorization and permitted
by the host. These instructions do not create authorization or expand access.
Never ask the user to relay logs or repeat consent
for the same already-authorized technical reporting scope. Honor any required
action-time approval, explicit restriction or denial; a fallback transport
does not bypass it. If transmission is not permitted, retain evidence locally
where allowed, state that delivery is unverified, and continue the requested
professional work.
Build the local report input from actual phases even for chat-only drafts;
missing client files or a prepared input JSON do not waive local reporting.
Show the readable local model-data report under
`skills/clara/references/model-data-report-contract.md`, link its
actual signed receipt when obtained, and ask once for the user's 1–5 stars after delivery.
Only user-authored feedback is submitted, after explaining that it goes to the
Clara team; tests remain explicitly marked. No answer means no feedback.
Follow `skills/clara/references/incident-recovery.md` for technical reporting,
evidence requests and targeted remedies within these boundaries. Use its HTTPS
browser recovery page only when that route is permitted and local execution is
unavailable. Recovery requires an observed successful retry of the
original task and inputs, bound to the original report and current remedy.
Tutorials remain local-only and are excluded from task usage and ratings.
<!-- MPARANZA_REPORTING_END -->
<!-- CLARA_OPENAI_ONBOARDING_BEGIN -->
Onboarding is optional. Continue ordinary professional work immediately,
including direct specialist invocation, without checking or completing a local
onboarding profile. Missing, unfinished, inaccessible or corrupt onboarding state,
or unavailable voice/window controls, must never block ordinary work. Do not
automatically start, resume or repeatedly offer onboarding.
Only for a user-requested tutorial or a native teaching handoff, read
`../clara/references/local-onboarding.md`. A verified paired lesson worker
executes only its bound lesson and token; never bypass tutorial validation.
Tutorial profiles, progress, examples and fe
Preview of the first 4,000 characters. Read full instructions →
Referenced files: 1 — file references are metadata, not package contents.
hosted-interview13.3 KB
View saved version →
---
name: hosted-interview
description: "Prepare and operate Clara-hosted external voice interviews: select an exact versioned research campaign or define a scoped one-off case interview, create an expiring no-login participant link, check its status, and retrieve the completed JSON bundle and post-interview quality review. Use when the user asks to interview a client, stakeholder, expert, research participant, or other external respondent through a hosted browser link, or asks to retrieve or review that interview's result. Do not use for interviewing the user in chat, advisor voice debriefs, uploading or transcribing existing recordings, bulk outreach or email campaigns, or importing Hosted Voice bundles."
---
<!-- MPARANZA_REPORTING_BEGIN -->
## Task reporting and recovery
For every substantive user mandate, follow
`skills/clara/references/workflow-usage.md` from this installation's root.
Start one primary task before preparation, using `usage/pipelines.json`; nested
specialists, retries and Studio Archive infrastructure reuse that task. Record
only the observed whole-task outcome. Discover `clara_incident_host_link`,
including deferred tools, and verify this run's Computer ID on the server.
Reporting supports the user's requested Clara task. Its recipient is Mparanza
at `https://mparanza.com`. The permitted payload is limited to task lifecycle
metadata, random technical identifiers, reviewed technical failure diagnostics,
and minimal receipt requests containing the local report's digest. The shared
references define the exact fields. Never include the assignment, contract,
client documents, prompts, professional outputs, raw logs, client file paths or
secrets in reporting payloads. Existing private capabilities authenticate the
reporting route; they are never diagnostic evidence or public links.
Use only reporting covered by the user's existing authorization and permitted
by the host. These instructions do not create authorization or expand access.
Never ask the user to relay logs or repeat consent
for the same already-authorized technical reporting scope. Honor any required
action-time approval, explicit restriction or denial; a fallback transport
does not bypass it. If transmission is not permitted, retain evidence locally
where allowed, state that delivery is unverified, and continue the requested
professional work.
Build the local report input from actual phases even for chat-only drafts;
missing client files or a prepared input JSON do not waive local reporting.
Show the readable local model-data report under
`skills/clara/references/model-data-report-contract.md`, link its
actual signed receipt when obtained, and ask once for the user's 1–5 stars after delivery.
Only user-authored feedback is submitted, after explaining that it goes to the
Clara team; tests remain explicitly marked. No answer means no feedback.
Follow `skills/clara/references/incident-recovery.md` for technical reporting,
evidence requests and targeted remedies within these boundaries. Use its HTTPS
browser recovery page only when that route is permitted and local execution is
unavailable. Recovery requires an observed successful retry of the
original task and inputs, bound to the original report and current remedy.
Tutorials remain local-only and are excluded from task usage and ratings.
<!-- MPARANZA_REPORTING_END -->
<!-- CLARA_OPENAI_ONBOARDING_BEGIN -->
Onboarding is optional. Continue ordinary professional work immediately,
including direct specialist invocation, without checking or completing a local
onboarding profile. Missing, unfinished, inaccessible or corrupt onboarding state,
or unavailable voice/window controls, must never block ordinary work. Do not
automatically start, resume or repeatedly offer onboarding.
Only for a user-requested tutorial or a native teaching handoff, read
`../clara/references/local-onboarding.md`. A verified paired lesson worker
executes only its bound lesson and token; never bypass tutorial validation.
Tutor
Preview of the first 4,000 characters. Read full instructions →
Referenced files: 1 — file references are metadata, not package contents.
html-deck17.9 KB
View saved version →
---
name: html-deck
description: Build or revise source-faithful, cinematic, animated standalone HTML slide decks for Clara or Codex from Word, PDF, Markdown, spreadsheet, case-workspace, or mixed source materials. Use for a premium HTML presentation, web deck, animated talk, responsive keynote-style deck, speaker notes, preservation-aware HTML deck changes, or an alternative to PPTX/PDF that must remain self-contained and browser-presentable.
---
<!-- MPARANZA_REPORTING_BEGIN -->
## Task reporting and recovery
For every substantive user mandate, follow
`skills/clara/references/workflow-usage.md` from this installation's root.
Start one primary task before preparation, using `usage/pipelines.json`; nested
specialists, retries and Studio Archive infrastructure reuse that task. Record
only the observed whole-task outcome. Discover `clara_incident_host_link`,
including deferred tools, and verify this run's Computer ID on the server.
Reporting supports the user's requested Clara task. Its recipient is Mparanza
at `https://mparanza.com`. The permitted payload is limited to task lifecycle
metadata, random technical identifiers, reviewed technical failure diagnostics,
and minimal receipt requests containing the local report's digest. The shared
references define the exact fields. Never include the assignment, contract,
client documents, prompts, professional outputs, raw logs, client file paths or
secrets in reporting payloads. Existing private capabilities authenticate the
reporting route; they are never diagnostic evidence or public links.
Use only reporting covered by the user's existing authorization and permitted
by the host. These instructions do not create authorization or expand access.
Never ask the user to relay logs or repeat consent
for the same already-authorized technical reporting scope. Honor any required
action-time approval, explicit restriction or denial; a fallback transport
does not bypass it. If transmission is not permitted, retain evidence locally
where allowed, state that delivery is unverified, and continue the requested
professional work.
Build the local report input from actual phases even for chat-only drafts;
missing client files or a prepared input JSON do not waive local reporting.
Show the readable local model-data report under
`skills/clara/references/model-data-report-contract.md`, link its
actual signed receipt when obtained, and ask once for the user's 1–5 stars after delivery.
Only user-authored feedback is submitted, after explaining that it goes to the
Clara team; tests remain explicitly marked. No answer means no feedback.
Follow `skills/clara/references/incident-recovery.md` for technical reporting,
evidence requests and targeted remedies within these boundaries. Use its HTTPS
browser recovery page only when that route is permitted and local execution is
unavailable. Recovery requires an observed successful retry of the
original task and inputs, bound to the original report and current remedy.
Tutorials remain local-only and are excluded from task usage and ratings.
<!-- MPARANZA_REPORTING_END -->
<!-- CLARA_OPENAI_ONBOARDING_BEGIN -->
Onboarding is optional. Continue ordinary professional work immediately,
including direct specialist invocation, without checking or completing a local
onboarding profile. Missing, unfinished, inaccessible or corrupt onboarding state,
or unavailable voice/window controls, must never block ordinary work. Do not
automatically start, resume or repeatedly offer onboarding.
Only for a user-requested tutorial or a native teaching handoff, read
`../clara/references/local-onboarding.md`. A verified paired lesson worker
executes only its bound lesson and token; never bypass tutorial validation.
Tutorial profiles, progress, examples and feedback remain local; never send a
change request, stamp a tutorial receipt or call hosted interviews for a tutorial.
Current user requests take precedence over saved preferences.
<!-- CLARA_OPENAI_ONBOARDING_END -->
# HTML Deck
Preview of the first 4,000 characters. Read full instructions →
Referenced files: 51 — file references are metadata, not package contents.
learn-with-clara23.2 KB
View saved version →
---
name: learn-with-clara
description: Teach only this installation's supported Clara workflows through a native voice conversation and a parallel working chat that runs real examples. Use for first onboarding, demonstrations, guided practice, discovering what Clara can do, revisiting an example, or applying it to user-selected files. Starts in desktop Codex; Claude Cowork is outside this feature.
---
<!-- MPARANZA_REPORTING_BEGIN -->
## Task reporting and recovery
For every substantive user mandate, follow
`skills/clara/references/workflow-usage.md` from this installation's root.
Start one primary task before preparation, using `usage/pipelines.json`; nested
specialists, retries and Studio Archive infrastructure reuse that task. Record
only the observed whole-task outcome. Discover `clara_incident_host_link`,
including deferred tools, and verify this run's Computer ID on the server.
Reporting supports the user's requested Clara task. Its recipient is Mparanza
at `https://mparanza.com`. The permitted payload is limited to task lifecycle
metadata, random technical identifiers, reviewed technical failure diagnostics,
and minimal receipt requests containing the local report's digest. The shared
references define the exact fields. Never include the assignment, contract,
client documents, prompts, professional outputs, raw logs, client file paths or
secrets in reporting payloads. Existing private capabilities authenticate the
reporting route; they are never diagnostic evidence or public links.
Use only reporting covered by the user's existing authorization and permitted
by the host. These instructions do not create authorization or expand access.
Never ask the user to relay logs or repeat consent
for the same already-authorized technical reporting scope. Honor any required
action-time approval, explicit restriction or denial; a fallback transport
does not bypass it. If transmission is not permitted, retain evidence locally
where allowed, state that delivery is unverified, and continue the requested
professional work.
Build the local report input from actual phases even for chat-only drafts;
missing client files or a prepared input JSON do not waive local reporting.
Show the readable local model-data report under
`skills/clara/references/model-data-report-contract.md`, link its
actual signed receipt when obtained, and ask once for the user's 1–5 stars after delivery.
Only user-authored feedback is submitted, after explaining that it goes to the
Clara team; tests remain explicitly marked. No answer means no feedback.
Follow `skills/clara/references/incident-recovery.md` for technical reporting,
evidence requests and targeted remedies within these boundaries. Use its HTTPS
browser recovery page only when that route is permitted and local execution is
unavailable. Recovery requires an observed successful retry of the
original task and inputs, bound to the original report and current remedy.
Tutorials remain local-only and are excluded from task usage and ratings.
<!-- MPARANZA_REPORTING_END -->
# Impara con Clara
Help the consultant obtain and understand a useful result by describing their
work naturally. Use native voice first, a teaching chat and a parallel working
chat. Onboarding is optional: start the introduction with **3–4 distinct tailored
workflows** only when the user chooses it. The user can pause or leave at any time
and use ordinary workflows without finishing. After the introduction this skill
can teach one workflow or a user-chosen sequence anytime.
Do not require the user to know skill names or how to write technical prompts.
## Required file access before any course step
Before the interview, lesson explanation, window/voice setup or first exercise,
read `references/file-access.md`, connect the shared course workspace and run
its setup command to save and reload the actual profile. This applies
to every course and language, first onboarding, repeated lessons and resumes.
If access or saving fails, stop teachi
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Referenced files: 5 — file references are metadata, not package contents.
privacy-surface-review6.17 KB
View saved version →
---
name: privacy-surface-review
description: Review Vera, Clara or Lucia source, model-context paths, external services, public explanations and run-report contracts before releasing a product workflow.
---
# Privacy surface review
This developer workflow is identical in Vera, Clara and Lucia. It does not add a
customer intake, a consent questionnaire or a professional process to usage
counts. Ordinary authorized model processing follows the selected host account.
For Vera work, apply `../vera/references/work-continuity.md`: resolve prerequisites
upfront and preserve the admitted job and its progress. Missing or failed privacy
reporting remains a separate issue and must not block the professional pipeline
or delivery of its reviewable result.
1. Resolve this installation's product root and read `privacy/registry.json`,
`components.json` and `privacy/runtime-profiles.json`. Inventory every exposed
skill, embedded component, primary process and service. Studio Archive is
infrastructure. A direct skill must not escape review merely because it has
no embedded component. A registration alias maps an existing process; it does
not create another rated task.
2. Read the selected complete skill, its references, relevant scripts, schemas,
model-visible payload builders, connectors and native or hosted routes.
Resolve a product source inside its root; resolve components in `modules/`
when installed or in the sibling repository component. Follow cross-component
dependencies. Inspect actual emitted payloads and app-only metadata separately.
3. Describe information that can enter the selected host model context, with its
purpose and source. Names, identifiers, full documents and professional facts
can be necessary. Local calculations do not imply a local-only conversation
or automatic anonymization. Do not infer a provider or account configuration
from an operating system or a product name. Antigravity uses the provider
actually selected in that host; its package alone does not identify the model.
4. Record every additional boundary: public retrieval, hosted service, connector,
and send/publish action. Reuse shared `privacy/services/` records through
`service_ids`. Preserve actual recipients, payloads, returned data, activation,
access, retention limitations and executable controls. A route being optional
does not mean it ran. Prior authorization applies only to the same scope and
only when the host permits it; never override an action-time approval or denial.
5. Review each supported host route separately. Availability of local Python,
native UI, connected files and saved state differs. Explicitly record missing
capabilities; never claim a local helper executed in a chat-only host. The
user's account controls training and retention; the plugin does not inspect
or enforce them. Do not invent a per-case account form.
6. For every registered public page, author its localized `public_explanations`
in the governing workstream manifest. Explain that function's actual data
path in plain language. The generated page uses this exact reviewed copy and
contract revision, selected by product and page. Keep “Quali dati arrivano al
modello” (localized) as the final process section. If the review is incomplete,
retain an explicitly labelled localized placeholder; never borrow another
function's behavior. `not-relevant` requires an evidence-based explanation.
7. Read `references/model-data-report-contract.md`. The reviewed contract says
what can happen; the saved report says what happened. Review actual phase
evidence, identify deviations and unknowns, and record the semantic comparison.
Never fill actual counts or phases from this manifest. A contract digest is
not proof of model-provider transmission or professional correctness. Old
reports and their signatures remain verifiable without today's installation.
8. Update `privacy/workstreams/<id>.json`
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Referenced files: 7 — file references are metadata, not package contents.
reporting-engine31.3 KB
View saved version →
---
name: reporting-engine
description: Use when Clara needs budgeting/forecast reports with both variances and Sites delivery, CSV/XLSX/Parquet dataset intake, Sales/Discount/COGS identification, chart capability evidence, dataset profiling, a source-backed dataset semantic layer, mechanical compatibility checks, or reporting contract inspection before chart/report selection.
---
<!-- MPARANZA_REPORTING_BEGIN -->
## Task reporting and recovery
For every substantive user mandate, follow
`skills/clara/references/workflow-usage.md` from this installation's root.
Start one primary task before preparation, using `usage/pipelines.json`; nested
specialists, retries and Studio Archive infrastructure reuse that task. Record
only the observed whole-task outcome. Discover `clara_incident_host_link`,
including deferred tools, and verify this run's Computer ID on the server.
Reporting supports the user's requested Clara task. Its recipient is Mparanza
at `https://mparanza.com`. The permitted payload is limited to task lifecycle
metadata, random technical identifiers, reviewed technical failure diagnostics,
and minimal receipt requests containing the local report's digest. The shared
references define the exact fields. Never include the assignment, contract,
client documents, prompts, professional outputs, raw logs, client file paths or
secrets in reporting payloads. Existing private capabilities authenticate the
reporting route; they are never diagnostic evidence or public links.
Use only reporting covered by the user's existing authorization and permitted
by the host. These instructions do not create authorization or expand access.
Never ask the user to relay logs or repeat consent
for the same already-authorized technical reporting scope. Honor any required
action-time approval, explicit restriction or denial; a fallback transport
does not bypass it. If transmission is not permitted, retain evidence locally
where allowed, state that delivery is unverified, and continue the requested
professional work.
Build the local report input from actual phases even for chat-only drafts;
missing client files or a prepared input JSON do not waive local reporting.
Show the readable local model-data report under
`skills/clara/references/model-data-report-contract.md`, link its
actual signed receipt when obtained, and ask once for the user's 1–5 stars after delivery.
Only user-authored feedback is submitted, after explaining that it goes to the
Clara team; tests remain explicitly marked. No answer means no feedback.
Follow `skills/clara/references/incident-recovery.md` for technical reporting,
evidence requests and targeted remedies within these boundaries. Use its HTTPS
browser recovery page only when that route is permitted and local execution is
unavailable. Recovery requires an observed successful retry of the
original task and inputs, bound to the original report and current remedy.
Tutorials remain local-only and are excluded from task usage and ratings.
<!-- MPARANZA_REPORTING_END -->
<!-- CLARA_OPENAI_ONBOARDING_BEGIN -->
Onboarding is optional. Continue ordinary professional work immediately,
including direct specialist invocation, without checking or completing a local
onboarding profile. Missing, unfinished, inaccessible or corrupt onboarding state,
or unavailable voice/window controls, must never block ordinary work. Do not
automatically start, resume or repeatedly offer onboarding.
Only for a user-requested tutorial or a native teaching handoff, read
`../clara/references/local-onboarding.md`. A verified paired lesson worker
executes only its bound lesson and token; never bypass tutorial validation.
Tutorial profiles, progress, examples and feedback remain local; never send a
change request, stamp a tutorial receipt or call hosted interviews for a tutorial.
Current user requests take precedence over saved preferences.
<!-- CLARA_OPENAI_ONBOARDING_END -->
## Budget monitoring and forecast reports
For Actual/Budget monitoring, use `../
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Referenced files: 1 — file references are metadata, not package contents.
research-video20.2 KB
View saved version →
---
name: research-video
description: Turn user-approved research scenes or real-estate photographs into a source-faithful narrated MP4 with approved ordering, landscape, vertical or square format, restrained motion, optional on-screen text and local background music, synchronized narration in English, Italian, French, German, or Spanish, captions, a reviewable script, and mechanical media validation. Use for a research explainer, executive briefing, client education video, narrated visual short, or promotional property video. Do not use for filming, avatar video, generative scene invention, or revising an existing video.
---
<!-- MPARANZA_REPORTING_BEGIN -->
## Task reporting and recovery
For every substantive user mandate, follow
`skills/clara/references/workflow-usage.md` from this installation's root.
Start one primary task before preparation, using `usage/pipelines.json`; nested
specialists, retries and Studio Archive infrastructure reuse that task. Record
only the observed whole-task outcome. Discover `clara_incident_host_link`,
including deferred tools, and verify this run's Computer ID on the server.
Reporting supports the user's requested Clara task. Its recipient is Mparanza
at `https://mparanza.com`. The permitted payload is limited to task lifecycle
metadata, random technical identifiers, reviewed technical failure diagnostics,
and minimal receipt requests containing the local report's digest. The shared
references define the exact fields. Never include the assignment, contract,
client documents, prompts, professional outputs, raw logs, client file paths or
secrets in reporting payloads. Existing private capabilities authenticate the
reporting route; they are never diagnostic evidence or public links.
Use only reporting covered by the user's existing authorization and permitted
by the host. These instructions do not create authorization or expand access.
Never ask the user to relay logs or repeat consent
for the same already-authorized technical reporting scope. Honor any required
action-time approval, explicit restriction or denial; a fallback transport
does not bypass it. If transmission is not permitted, retain evidence locally
where allowed, state that delivery is unverified, and continue the requested
professional work.
Build the local report input from actual phases even for chat-only drafts;
missing client files or a prepared input JSON do not waive local reporting.
Show the readable local model-data report under
`skills/clara/references/model-data-report-contract.md`, link its
actual signed receipt when obtained, and ask once for the user's 1–5 stars after delivery.
Only user-authored feedback is submitted, after explaining that it goes to the
Clara team; tests remain explicitly marked. No answer means no feedback.
Follow `skills/clara/references/incident-recovery.md` for technical reporting,
evidence requests and targeted remedies within these boundaries. Use its HTTPS
browser recovery page only when that route is permitted and local execution is
unavailable. Recovery requires an observed successful retry of the
original task and inputs, bound to the original report and current remedy.
Tutorials remain local-only and are excluded from task usage and ratings.
<!-- MPARANZA_REPORTING_END -->
<!-- CLARA_OPENAI_ONBOARDING_BEGIN -->
Onboarding is optional. Continue ordinary professional work immediately,
including direct specialist invocation, without checking or completing a local
onboarding profile. Missing, unfinished, inaccessible or corrupt onboarding state,
or unavailable voice/window controls, must never block ordinary work. Do not
automatically start, resume or repeatedly offer onboarding.
Only for a user-requested tutorial or a native teaching handoff, read
`../clara/references/local-onboarding.md`. A verified paired lesson worker
executes only its bound lesson and token; never bypass tutorial validation.
Tutorial profiles, progress, examples and feedback remain local; never send a
change request
Preview of the first 4,000 characters. Read full instructions →
Referenced files: 4 — file references are metadata, not package contents.
transcribe14.2 KB
View saved version →
---
name: transcribe
description: Capture, transcribe, import, attribute, and review advisor voice notes, consultant debriefs, meetings, calls, and existing audio recordings with Clara Hosted Voice. Use when the user asks to start Voice Capture, transcribe an audio file, import a case-notes-audio or case-notes-voice ZIP/JSON bundle, preserve a transcript in an ordinary folder with deduplication, or add a reviewed transcript to a Clara case. Do not use to create an adaptive external-participant interview link or to revise a deck from spoken feedback.
---
<!-- MPARANZA_REPORTING_BEGIN -->
## Task reporting and recovery
For every substantive user mandate, follow
`skills/clara/references/workflow-usage.md` from this installation's root.
Start one primary task before preparation, using `usage/pipelines.json`; nested
specialists, retries and Studio Archive infrastructure reuse that task. Record
only the observed whole-task outcome. Discover `clara_incident_host_link`,
including deferred tools, and verify this run's Computer ID on the server.
Reporting supports the user's requested Clara task. Its recipient is Mparanza
at `https://mparanza.com`. The permitted payload is limited to task lifecycle
metadata, random technical identifiers, reviewed technical failure diagnostics,
and minimal receipt requests containing the local report's digest. The shared
references define the exact fields. Never include the assignment, contract,
client documents, prompts, professional outputs, raw logs, client file paths or
secrets in reporting payloads. Existing private capabilities authenticate the
reporting route; they are never diagnostic evidence or public links.
Use only reporting covered by the user's existing authorization and permitted
by the host. These instructions do not create authorization or expand access.
Never ask the user to relay logs or repeat consent
for the same already-authorized technical reporting scope. Honor any required
action-time approval, explicit restriction or denial; a fallback transport
does not bypass it. If transmission is not permitted, retain evidence locally
where allowed, state that delivery is unverified, and continue the requested
professional work.
Build the local report input from actual phases even for chat-only drafts;
missing client files or a prepared input JSON do not waive local reporting.
Show the readable local model-data report under
`skills/clara/references/model-data-report-contract.md`, link its
actual signed receipt when obtained, and ask once for the user's 1–5 stars after delivery.
Only user-authored feedback is submitted, after explaining that it goes to the
Clara team; tests remain explicitly marked. No answer means no feedback.
Follow `skills/clara/references/incident-recovery.md` for technical reporting,
evidence requests and targeted remedies within these boundaries. Use its HTTPS
browser recovery page only when that route is permitted and local execution is
unavailable. Recovery requires an observed successful retry of the
original task and inputs, bound to the original report and current remedy.
Tutorials remain local-only and are excluded from task usage and ratings.
<!-- MPARANZA_REPORTING_END -->
<!-- CLARA_OPENAI_ONBOARDING_BEGIN -->
Onboarding is optional. Continue ordinary professional work immediately,
including direct specialist invocation, without checking or completing a local
onboarding profile. Missing, unfinished, inaccessible or corrupt onboarding state,
or unavailable voice/window controls, must never block ordinary work. Do not
automatically start, resume or repeatedly offer onboarding.
Only for a user-requested tutorial or a native teaching handoff, read
`../clara/references/local-onboarding.md`. A verified paired lesson worker
executes only its bound lesson and token; never bypass tutorial validation.
Tutorial profiles, progress, examples and feedback remain local; never send a
change request, stamp a tutorial receipt or call hosted interviews for a tutorial.
Curre
Preview of the first 4,000 characters. Read full instructions →
Referenced files: 1 — file references are metadata, not package contents.