--- before
+++ after
@@ -12,82 +12,138 @@
 
 `@Data Help me get started with my first data task`
 
-The plugin will help you choose a data source, pick a useful workflow, and decide whether to use connected tools, upload data, paste results, or try sample data.
+Ask `@Data Help me set up Data`, or choose **Set up** when your host provides that entry point. [Data onboarding](skills/onboarding/SKILL.md) uses [Figma-based Visualize workflow buttons](skills/onboarding/references/visualize-design.md) that send concise follow-up prompts through the host's confirmation flow. Shared [task intake](shared/task-intake.md) distinguishes non-blocking questions, narrowly justified blocking interactions, and final-answer caveats and next offers. Tool choices follow host availability; task preferences and reasonable defaults apply without saved Data settings. Useful optional app connections use Plugin Management's native installation and sign-in controls. It helps complete a first analysis, metric investigation, report, or dashboard. You can also upload data, paste results, or try clearly labeled sample data. Say **Skip set up** at any point to continue without onboarding. If you installed Data during a task, setup returns to that request. Hosts without Visualize use supported shared workflow buttons or chat; installing this plugin alone does not enable an unsupported renderer or launch gate. Automatic post-install launch also requires host support for the declared onboarding entry point.
+
+This experiment enables the homepage and automatic onboarding entry point on supporting hosts while retaining manual onboarding, composer actions, native forms, and mentions.
 
 Already have a focused task? Start directly with one of the workflows below.
 
-Report and dashboard apps publish to Sites in web/cloud tasks and preview on localhost in local desktop tasks. Cloud tasks still publish when viewed on desktop; Work Mode does not change delivery. New Sites default to private, and you can request another destination. See the [delivery policy](shared/data-app.md#publication-and-final-delivery).
+In Codex, highlight **Data** in the `@` menu and press **Tab** to choose **Create a report**, **Create a dashboard**, or **Analyze data**. Choosing an action fills the composer; review and send the request when ready. Data reuses the context you have already provided, clarifies the use case when needed, and looks for relevant connected sources before offering other ways to supply data.
+
+Use the shared [output-format policy](shared/output-and-template-handling.md#output-format-selection): the [index](skills/index/SKILL.md#output-and-presentation) keeps ordinary answers inline and adds a report for three or more distinct questions unless the user selects another format. Reports/documents and requested dashboards default to HTML/Sites using the existing Data app runtime. Pages is used for an explicit Page request, a selected Page template, or a revision of an existing Page. Explicit formats, user-selected templates, and existing revisions take precedence. Automatically chosen templates preserve the selected format. Available tools and authorization govern fallbacks; saved Data settings are not consulted.
+
+Local HTML previews use Data's own per-project login service on macOS, Linux, and Windows. Their URL remains stable after Codex closes and after you log back in following a restart. Windows uses a per-user scheduled task without administrator access. Ask Data to “list my previews,” “stop the preview for X” to retain its URL, or “remove the preview for X” to clean up its service and saved preview state. Removal preserves project files and browser data, but a later start may use a new URL without automatically carrying over browser-saved edits. Before uninstalling Data, list your previews and remove the specific ones you want cleaned up; plugin uninstall does not do this automatically. See the [local preview lifecycle](shared/data-app.md#proactively-open-the-in-app-browser) for commands and session-only fallback behavior.
+
+## Task intake
+
+Data defaults to best-effort delivery and asynchronous clarification when useful. Blocking forms are reserved for missing required sources that prevent meaningful progress or an explicitly requested interaction or pause. The shared [input policy covers non-blocking, blocking, and final-answer clarification, with tools and examples](shared/task-intake.md); [templates and prior work](shared/templates-and-prior-work.md) covers template discovery and prior work.
+
+For long reports, analyses, and dashboards, search relevant installed templates and useful references. Offer the best verified matches with a recommendation in necessary clarifications. When differences only affect presentation, use a suitable default and proceed. Preserve explicit format/source restrictions and selected template identities. Discovery failures or missing previews do not block useful work.
+
+When needed, `form_elicitation_v2_request` groups only the necessary questions. It blocks until accept, decline, cancel, or error; optional fields do not make it asynchronous. Reuse answers and continue supported work with stated defaults after skipped preferences without reopening setup. Silence or cancellation is not a user selection or permission for additional work. Selected file identities require a successful read in the task environment; the form does not transfer laptop CSV bytes to a remote task. Installation and sign-in use existing Plugin Management controls separately.
+
+Compared with the preserved experimental form, this baseline does not provide a plugin-owned persistent async widget, draft/receipt continuation, CSV byte transfer, inline Other, conditional questions, custom preview delivery, or embedded plugin installation. Native form capability must be negotiated; unavailable hosts use supported native/chat fallback. See [task intake](shared/task-intake.md) and the [native contract](mcp/forms/README.md).
+
+## Homepage history
+
+The homepage stores opened example IDs and used suggestion IDs in local browser storage. Successful launches update the history; failed or canceled navigation does not. Reopening the homepage retains “Opened before” badges and moves used suggestions behind unused ones. Only allowlisted IDs are stored. Hosts that deny storage remain usable with session-local history.
+
+This release has no settings controls, settings MCP capability, settings tools, or saved preference reads. Old settings files remain untouched. Task preferences and selected templates guide the work; output defaults and installed capabilities determine suitable fallbacks.
+
+## One Data MCP runtime
+
+The canonical `data-analytics` plugin declares one MCP server named `data`, displayed as **Data**, with these tools on one connection:
+
+| Family             | Model tools                                 | App-only tools    |
+| ------------------ | ------------------------------------------- | ----------------- |
+| Native elicitation | `form_elicitation_v2_request`                | None              |
+| Composer actions   | None                                        | `search_mentions` |
+| Homepage           | None                                        | `data_home` |
+
+Call discovered tool names, which the runtime may qualify. There are no plugin-owned form widget resources or callbacks on the default path. Other Data artifact functionality remains in the plugin's existing skills and runtime.
+
+
+The homepage provides suggested tasks, bundled connector recommendations, and Aster investigation, report, and stock examples; onboarding also offers the Northstar dashboard. Suggested tasks open new chats using @Data; prepared examples open beside a chat with an introduction and follow-up button. All four examples open immutable CDN URLs automatically in the desktop sidebar through the new chat’s `browserUrl`. Aster and Northstar use fictional data; Stock watch uses illustrative prices and scenarios. Opening an example does not build a site or start a local server.
+
+The homepage consumes `data_home`'s initial inventory result without a duplicate request. Provider cards use loading placeholders while the rest of the page renders immediately. Returning to the tab or opening the provider manager refreshes inventory while retaining the last successful cards and installation badges. Hosts without the inventory bridge use bundled recommendations without installation claims. Examples open immutable CDN previews with bundled context directly; no preparation tool or local example files are needed.
+
+The installed runtime lives in `mcp/dist` and starts through `mcp/launch` or `mcp/launch.cmd`. It requires Node 22 or newer, including a supported host-provided runtime, and installs no dependencies at launch. Native forms live under `mcp/forms`. The plugin is not desktop-only: `requires_local_executor` remains false, and its skills can run on web or other hosts. Homepage and native-form support depend on the host's MCP capabilities; neither blocks ordinary skill workflows. There is no hosted Data App or Habitat dependency.
+
+A locally replaced package can update the discovered resource URI while an existing desktop MCP session still serves the old resource. Restart the desktop after updating the local test package if the homepage reports “Unknown resource”; do not serve different HTML under an old content hash.
+
+Build and package with the release-baseline MCP Extensions SDK, license notices, and source/artifact hashes. Ship generated assets through the maintained catalog's blob-data workflow and commit its hash manifest alongside source changes. Start a fresh task after installing a rebuilt candidate and ensure review evidence matches its source revision and package hashes.
+
+The maintainer [CDN and release guide](scripts/data-examples-cdn.md) covers the demo routes, staging and production updates, and plugin packaging. From this plugin root, run `node scripts/prepare-data-plugin-release.mjs --dependencies /absolute/frozen-publisher --output /absolute/new/data-analytics` to build, verify, and package the plugin. This excludes maintainer-only scripts, the release guide, and onboarding demo source; pass the prepared directory to the publisher, which does not invoke the packaging filter itself.
+
+From the plugin root, after preparing the shared frozen publisher dependencies:
+
+```sh
+node mcp/build.mjs --dependencies /absolute/publisher
+node mcp/build.mjs --dependencies /absolute/publisher --check
+node mcp/package.mjs --output /absolute/output/data-analytics
+```
+
+The generated `mcp/dist` contains `server.mjs`, `home.html`, `sidebar-icon.svg`, `manifest.json`, and `THIRD_PARTY_NOTICES.txt`. Debug preview controls are opt-in at build time with `DATA_HOME_PREVIEW_CONTROLS=1` and remain disabled in release builds. Keep package output outside the source tree. Focused validation lives in `mcp/forms/tests`, `tests/data-mcp.test.mjs`, `tests/home.test.mjs`, browser history/connection smoke tests, and the instruction contracts. Synthetic protocol responses prove contract behavior, not rendered native UI or an end-to-end model journey.
+
 
 ## Example workflows
 
-| Workflow | Try this | Skill | Result |
-| --- | --- | --- | --- |
-| Analyze a product or business question | `Analyze activation and recommend where to focus next` | `product-business-analysis` | A decision-ready analysis with evidence, measurable opportunities, and a clear recommendation |
-| Diagnose a metric movement | `Diagnose why weekly active users dropped last week` | `metric-diagnostics` | A calibrated explanation of verified drivers, likely contributors, unresolved questions, and next actions |
-| Design KPIs | `Design a KPI framework for this new product area` | `design-kpis` | A measurement plan with outcome metrics, drivers, guardrails, targets, and validation priorities |
-| Prepare a KPI readout | `Turn this month's metrics into a leadership-ready operating update` | `kpi-reporting` | A concise KPI update with actuals, comparisons, validated drivers, and operating implications |
-| Build a dashboard | `Build a dashboard for monitoring activation, retention, and conversion` | `build-dashboard` | A source-backed dashboard with metrics, filters, visual hierarchy, QA, and handoff |
-| Size a market | `Estimate the market opportunity for this product and show the assumptions` | `market-sizing` | A transparent market or opportunity sizing estimate with sensitivity, uncertainty, and validation priorities |
-| Build an analytical report | `Create an executive report explaining the biggest growth drivers this quarter` | `build-report` | A polished report with answer-first narrative, charts, tables, caveats, and source metadata |
-| Improve or render a chart | `Turn this analysis into a clear chart for the product review` | `visualize-data` | A production-ready visual with the right chart type, labels, hierarchy, and accessibility checks |
-| Create a notebook | `Build a reproducible notebook for this experiment readout` | `jupyter-notebooks` | A reproducible SQL or Python notebook with purposeful charts, concise takeaways, and saved outputs that can be skimmed and rerun |
-| Validate an analysis | `Check this analysis`; `Do a deep review of this dashboard` | `validate-data` | Heavy review and verified material repairs for explicit validation requests; normal checks within other workflows or when explicitly requested; audit-only when requested |
-| Assess data quality | `Check whether this table is reliable enough for our retention analysis` | `analyze-data-quality` | A source-backed quality assessment covering grain, freshness, missingness, duplicates, joins, and material risks |
-| Create reusable Data context | `Turn these metric links and working preferences into reusable team context` | `create-data-context` | One editable context skill per audience, with a portable personal/team plugin |
-
-## Reusable context
-
-Data includes [Create Data Context](skills/create-data-context/SKILL.md) for reusable personal or shared guidance for data work. The initial input handoff includes the introduction in the last final reply, even if a form was shown earlier. Every input handoff includes the pending questions and enough context above them to answer. Related blocking questions, such as source approach and personal versus shared use, can be asked together. Users can answer without expanding progress or finding “questions above.” The short introduction leads to “Where should I start?” and “Who is this for?” Users can provide references, request a scan of their connected tools, or do both and give direction. The scan offer explains that discovered sources will be shown for selection. Data then asks who the guidance is for when that is unclear: personal use or sharing across the company. Team and company use share the same option; named teams and workflows still limit where particular conventions apply. Choosing a shared audience does not share or install anything for others. The handoff links the saved draft for review and explains that it can be installed when it looks good. No particular reply or review confirmation is required to complete the draft; installation follows the user’s actual request.
-
-- [Annotated context sample](skills/create-data-context/references/sample-context-skill.md): one skill combining useful working conventions with definitions when needed. Reporting preferences can reference company context in their source-use rules and omit Data Context; only genuine report-specific metric differences need a compact scoped section. Shared style guidance is broadly useful, optional defaults allow personal preferences, and specific requirements apply only to their named workflows. Explicitly mixed personal/shared instructions may use separate audience contexts; content type alone does not cause a split. Generated YAML descriptions identify the domain and relevant work without listing individual metrics; personal-use and workflow limits remain explicit so invocation stays appropriate.
-- [Data context workflow](skills/create-data-context/references/data-context-authoring.md): one file with concrete domain definitions in tables for Entities, Metrics, Filters, Dimensions, Pitfalls, and Open Questions, plus Sources. This dictionary structure applies to substantive data definitions, whether personal or shared; it does not turn reports, decks, or source contracts into entities in a reporting-preferences skill. Metric rows retain their eligibility rules, calculations, windows, and important exceptions; notes below hold supporting detail. Both data context and working preferences use clear wording from the first draft. The normal content review checks clarity and preserves useful information without a separate rewrite stage.
-- [Packaging and sharing](skills/create-data-context/references/packaging-and-sharing.md): local availability, portable ZIPs, and the administrator handoff.
-
-For metrics and reporting context, a supplied deck, report, or dashboard can inform both data definitions and Working Preferences. Data inspects the example’s content and presentation, includes useful inferred writing and visual conventions directly in the same skill as the definitions, and reviews the whole draft together. Examples supplied later in the conversation receive the same treatment. Explicit requests for definitions only remain limited to definitions.
+| Workflow                               | Try this                                                                        | Skill                       | Result                                                                                                                                                                                                            |
+| -------------------------------------- | ------------------------------------------------------------------------------- | --------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| Analyze a product or business question | `Analyze activation and recommend where to focus next`                          | `product-business-analysis` | A decision-ready analysis with evidence, measurable opportunities, and a clear recommendation                                                                                                                     |
+| Diagnose a metric movement             | `Diagnose why weekly active users dropped last week`                            | `metric-diagnostics`        | A calibrated explanation of verified drivers, likely contributors, unresolved questions, and next actions                                                                                                         |
+| Design KPIs                            | `Design a KPI framework for this new product area`                              | `design-kpis`               | A measurement plan with outcome metrics, drivers, guardrails, targets, and validation priorities                                                                                                                  |
+| Prepare a KPI readout                  | `Turn this month's metrics into a leadership-ready operating update`            | `kpi-reporting`             | A concise KPI update with actuals, comparisons, validated drivers, and operating implications                                                                                                                     |
+| Build a dashboard                      | `Build a dashboard for monitoring activation, retention, and conversion`        | `build-dashboard`           | A source-backed dashboard with metrics, filters, visual hierarchy, QA, and handoff                                                                                                                                |
+| Size a market                          | `Estimate the market opportunity for this product and show the assumptions`     | `market-sizing`             | A transparent market or opportunity sizing estimate with sensitivity, uncertainty, and validation priorities                                                                                                      |
+| Build an analytical report             | `Create an executive report explaining the biggest growth drivers this quarter` | `build-report`              | A report in the explicitly selected format, or HTML/Sites through the existing Data app runtime by default, with reviewed findings, charts, and inspectable evidence |
+| Choose or render a chart              | `Turn this analysis into a clear chart for the product review`                  | `visualize-data`            | Chart selection and implementation guidance for the existing Data app or the selected output surface; inline visuals follow the installed Visualize skill                                                                                                                  |
+| Create a notebook                      | `Build a reproducible notebook for this experiment readout`                     | `jupyter-notebooks`         | A reproducible SQL or Python notebook with purposeful charts, concise takeaways, and saved outputs that can be skimmed and rerun                                                                                  |
+| Validate an analysis                   | `Check this analysis`; `Do a deep review of this dashboard`                     | `validate-data`             | Heavy review and verified material repairs for explicit validation requests; normal checks within other workflows or when explicitly requested; audit-only when requested                                         |
+| Assess data quality                    | `Check whether this table is reliable enough for our retention analysis`        | `analyze-data-quality`      | A source-backed quality assessment covering grain, freshness, missingness, duplicates, joins, and material risks                                                                                                  |
+| Customize Data                        | `Save my report style and preferred tools for future work`                      | `customize-data-plugin`     | Explicitly requested reusable working guidance for personal or team use                                                                                                                                     |
 
-Providing sources still leaves room for additional research: Data asks once whether you want a scan for more context related to the work and lets you supply more references or direct the scan. It keeps reviewing your supplied material while you decide. Declining or leaving the offer unanswered keeps the draft limited to those sources and necessary linked evidence. An explicit research request or source-only restriction is reused without asking again.
+## Customization and data context
 
-After a scan finds useful additional sources, Data shows their links, concrete findings, and what each would add, then asks which to include before using them in the context draft. You can accept all, select sources, refine the scan, or skip the discoveries. Supplied and previously accepted sources do not need another selection; the complete draft still receives its normal review.
+[Customize Data Plugin](skills/customize-data-plugin/SKILL.md) creates explicitly requested reusable tool, style, or workflow conventions in scoped skills. Existing user-created context skills remain usable, including combined definitions and working preferences. See the [customization sample](skills/customize-data-plugin/references/sample-context-skill.md) and [packaging guidance](skills/customize-data-plugin/references/packaging-and-sharing.md) for reusable conventions.
 
-After finalization, Data can offer [regular source checks](skills/create-data-context/references/data-context-authoring.md#source-upkeep) when the sources can be revisited and the host supports recurring tasks. It asks whether you want the context kept up to date, including how often it will check. A yes lets Data make clear updates and bring uncertain changes back to you; there is no extra update-mode choice. Every update includes a short explanation of what changed, why, and its sources, with a link to the context so you can request adjustments or undo it. Working Preferences stay intact, and unchanged checks stay quiet. An explicit request to review every change first is still honored.
+Data follows the shared [Authoritative metrics and definitions](shared/metric-definitions.md) policy before selecting sources or interpreting metrics: use task-selected context and applicable context skills first. When neither supplies the needed definitions, check applicable first-party domains, then discover business context live. Local paths, connected documents, and context skills remain valid task inputs. Ordinary analysis does not require saved-context setup.
 
-Generated context remains separately owned and shareable. Existing user-created contexts remain usable, and recipients still need access to their linked sources.
+Focused workflows gather missing [business context](shared/metric-definitions.md#business-context) only when it could change the analysis. Newly gathered context stays scoped to the current task. For a context-only request, Data returns a focused cited note; requests for analysis or an artifact continue into the selected workflow.
 
 ## Integrations
 
 Data can use available tools when they are connected:
 
-| Source | Supported integrations | What they unlock |
-| --- | --- | --- |
-| Warehouses and query tools | Databricks, Databricks Genie, BigQuery, Snowflake | Schema inspection, query-backed analysis, and source-grounded metric investigation |
-| Product analytics and BI | Amplitude, Mixpanel, PostHog, Omni Analytics, Metabase, ThoughtSpot, Statsig | Behavior analysis, dashboard context, experiment evidence, and reusable reporting inputs |
-| Notebooks and analytical workspaces | Hex, Deepnote | Reproducible analysis, notebook handoff, and shared analytical context |
-| Docs and collaboration | Google Drive, SharePoint, Notion, GitHub, Slack, Microsoft Teams | Business definitions, source-of-truth documents, implementation context, and stakeholder evidence |
-| Email and calendar | Gmail, Outlook Email, Outlook Calendar | Supporting context for stakeholder questions, operating cadence, and analytical handoff |
+| Source                              | Supported integrations                                                       | What they unlock                                                                                  |
+| ----------------------------------- | ---------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------- |
+| Warehouses and query tools          | Databricks, Databricks Genie, BigQuery, Snowflake                            | Schema inspection, query-backed analysis, and source-grounded metric investigation                |
+| Product analytics and BI            | Amplitude, Mixpanel, PostHog, Omni Analytics, Metabase, ThoughtSpot, Statsig | Behavior analysis, dashboard context, experiment evidence, and reusable reporting inputs          |
+| Notebooks and analytical workspaces | Hex, Deepnote                                                                | Reproducible analysis, notebook handoff, and shared analytical context                            |
+| Docs and collaboration              | Google Drive, SharePoint, Notion, GitHub, Slack, Microsoft Teams             | Business definitions, source-of-truth documents, implementation context, and stakeholder evidence |
+| Email and calendar                  | Gmail, Outlook Email, Outlook Calendar                                       | Supporting context for stakeholder questions, operating cadence, and analytical handoff           |
 
 You can also start with spreadsheets, uploaded files, pasted query results, schema descriptions, or manually provided business context.
 
 ## Inspect inline answers
 
-Source-backed Desktop answers outside Work Mode include a collapsed Sources receipt directly below each inline chart. Text-only answers have one receipt at the end; mixed answers add a final receipt only for findings that no chart covers. The collapsed row reads `Sources` for one finding and `Sources • N` for multiple findings, where `N` counts finding cards. Expand a receipt to inspect optional assumptions, recorded definitions, filters, sources, preview rows, SQL/Python or calculations, and evidence when available. Source types and recorded purposes are available in hover/focus tooltips. The receipt uses the dashboard/report source inspector in a compact card layout and preserves existing chart source buttons. See [Inline Sources receipt](skills/visualize-data/references/inline-sources-receipt.md) for its evidence and delivery contract. Work Mode retains its existing rendering path.
+Warehouse results and other substantial evidence use a Sources widget when inspection materially builds trust; simple lookups use concise citations. Outside Work Mode, one warranted collapsed Sources receipt appears after the answer's main takeaways, charts, interpretation, and material caveats. It covers distinct supported findings from both charts and prose, with each finding's evidence kept in its own card. The collapsed row reads `Sources` for one finding and `Sources • N` for multiple findings, where `N` counts finding cards. Expand a receipt to inspect optional assumptions, recorded definitions, filters, sources, preview rows, SQL/Python or calculations, and evidence when available. Source types and recorded purposes are available in hover/focus tooltips. The receipt uses the dashboard/report source inspector in a compact card layout and preserves existing chart source buttons. See [Inline Sources receipt](skills/visualize-data/references/inline-sources-receipt.md) for its evidence and delivery contract. Work Mode retains its existing rendering path.
 
 ## Maintaining authoring guidance
 
-Change each rule at its owner and link to it from the decision that needs it:
+Change each rule at its owner and link to it from the decision that needs it. The [index](skills/index/SKILL.md#shared-instructions-table-of-contents) owns the complete shared-reference map; this table identifies authoring owners.
 
-| Guidance | Owner |
-| --- | --- |
-| Common instructions and dependency resolution for every workflow | [Shared skill instructions](shared/shared-skill-instructions.md) |
-| Reusable Data context authoring, review, and packaging | [create-data-context](skills/create-data-context/SKILL.md) |
-| Report analysis, composition, and next-step selection | [build-report](skills/build-report/SKILL.md) |
-| Report wording and presentation examples | [narrative-style](skills/build-report/references/narrative-style.md) |
-| Dashboard composition and monitoring behavior | [build-dashboard](skills/build-dashboard/SKILL.md) |
-| Chart selection, contextual annotations, and visual QA | [visualize-data](skills/visualize-data/SKILL.md) |
-| Notebook structure, visual presentation, and execution | [jupyter-notebooks](skills/jupyter-notebooks/SKILL.md) |
-| Requested analysis reviews, verified important repairs, and audit-only assessments | [validate-data](skills/validate-data/SKILL.md) |
-| Reusable source, calculation, methodology, and conclusion checks | [Analysis quality criteria](shared/analysis-quality.md) |
-| Reusable component, source-details, interaction, and presentation checks | [Dashboard quality criteria](shared/dashboard-quality.md) |
-| App data representation, provenance, runtime, revision, and delivery | [Data App Contract](shared/data-app.md) |
-| Copied-app APIs and runtime constraints | [template AGENTS.md](templates/data-app/base/AGENTS.md) |
+| Guidance                                                                                        | Owner                                                                |
+| ----------------------------------------------------------------------------------------------- | -------------------------------------------------------------------- |
+| Universal instructions for every workflow                                | [Shared skill instructions](shared/shared-skill-instructions.md)     |
+| Native optional setup, workflow suggestions, first result, skip, and original-task continuation | [onboarding](skills/onboarding/SKILL.md)                             |
+| Workflow selectors and next-task suggestions | [Onboarding selector](skills/onboarding/references/workflow-selector.md) |
+| Reusable working conventions and context packaging                                  | [customize-data-plugin](skills/customize-data-plugin/SKILL.md)       |
+| Report analysis, composition, and next-step selection                                           | [build-report](skills/build-report/SKILL.md)                         |
+| Spaces report layout, citations, source subpages, and verification                              | [Spaces reports](skills/build-report/references/spaces-report.md)    |
+| Report wording and presentation examples                                                        | [narrative-style](skills/build-report/references/narrative-style.md) |
+| Dashboard composition and monitoring behavior                                                   | [build-dashboard](skills/build-dashboard/SKILL.md)                   |
+| Substantive inline answers, tables, interpretation and Sources | [Index inline delivery](skills/index/SKILL.md#inline-delivery) |
+| Chart selection, implementation, and visual quality for the selected surface                                          | [visualize-data](skills/visualize-data/SKILL.md)                     |
+| Notebook structure, visual presentation, and execution                                          | [jupyter-notebooks](skills/jupyter-notebooks/SKILL.md)               |
+| Requested analysis reviews, verified important repairs, and audit-only assessments              | [validate-data](skills/validate-data/SKILL.md)                       |
+| Reusable source, calculation, methodology, and conclusion checks                                | [Analysis quality criteria](shared/analysis-quality.md)              |
+| Reusable component, source-details, interaction, and presentation checks                        | [Dashboard quality criteria](shared/dashboard-quality.md)            |
+| App data representation, provenance, runtime, revision, and delivery                            | [Data App Contract](shared/data-app.md)                              |
+| Copied-app APIs and runtime constraints                                                         | [template AGENTS.md](templates/data-app/base/AGENTS.md)              |
 
 Keep essential decisions in the owning skill; load references for conditional detail and examples. The copied app retains the API constraints needed to revise it independently. Worked examples illustrate these rules, not alternate instructions or mandatory outlines. Keep development plans, review logs, and validation receipts in the PR or local working artifacts, not in the installed plugin.
+
+## Preparing a release
+
+For requests to deploy, publish, push, or prepare a Data release, follow the maintainer [release procedure](RELEASE.md). Build the lightweight package, validate its actual output, check that the target remote version is unused, and report readiness before deployment. Do not pass the unfiltered source tree to the publisher.

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