Alta
Alta v1.0.4
Signal-led outbound from chat
From the developer
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Declared capabilities
- Search prospects
- Target buying signals
- Build draft campaigns
Cost & access
Alta does not sell products or process payments in ChatGPT.
Declared limitations
- Request unrelated to sales prospecting or the user's Alta account; the plugin should not call any Alta tool.
- Request for a specific person's private contact details; Alta does not return emails or phone numbers in chat, so the assistant should decline and explain that enrichment happens inside Alta.
- Bulk destructive request that Alta's tools do not support; the assistant should not act and should explain that campaigns are managed in the Alta app.
Onboarding example
Find US SaaS companies showing buying intent
Sources & dates
Developer declarations; not independently tested. Listing last checked Nov 7, 2026. Package observed Nov 7, 2026.
Description
From the marketplace listing
Alta is the AI platform built for go-to-market teams - agents that find prospects, qualify leads and book meetings, so your team can focus on closing. Connect your Alta account and do that work from the chat, in plain language. What you can do: - Find the right companies and people. Search Alta's company and people data, built from 50+ data sources, by industry, company size, location, role and seniority, and see how many match before you commit. - Target on buying signals. Enrich an audience with buying signals such as funding, hiring and job changes, and focus outreach on the accounts showing intent, so it lands when the timing is right. - Build campaigns from a brief. Describe who you want to reach, and Alta drafts the campaign: the audience, a pitch from your company knowledge, a multichannel sequence across email, LinkedIn and calls, and the sending rep. Open the draft in Alta to launch it. - Automate multi-step processes. Describe a workflow in plain language, and Alta builds or edits it in Workflows. - Bring in your CRM. Import a list from HubSpot, Salesforce, Pipedrive and others into an audience and run a campaign on it. - Run the day-to-day. Check campaigns, prospects, replies, tasks, calls and the meetings Alta booked, and ask questions about your account's performance. - Reply in context. Draft and send email and LinkedIn messages to prospects, with your confirmation before anything is sent. Who it's for: sales leaders, reps and RevOps teams who already use Alta. Limitations: requires an Alta account, and every action runs with that account's permissions. Contact details (emails, phone numbers) are not returned in search previews; enrichment happens inside Alta. Campaigns are launched in the Alta app, not from the chat. Sending a message, resuming a campaign or running enrichment has real effects, so the assistant asks before it does any of them.
Language: English · Automatically detected from descriptions.
Matches for “reply”
Exact text from the indicated source. A mention alone does not establish support for your task.
Publisher full description
Alta is the AI platform built for go-to-market teams - agents that find prospects, qualify leads and book meetings, so your team can focus on closing. Connect your Alta account and do that work from the chat, in plain language. What you can do: - Find the right companies and people. Search Alta's company and people data, built from 50+ data sources, by industry, company size, location, role and seniority, and see how many match before you commit. - Target on buying signals. Enrich an audience with buying signals such as funding, hiring and job changes, and focus outreach on the accounts showing intent, so it lands when the timing is right. - Build campaigns from a brief. Describe who you want to reach, and Alta drafts the campaign: the audience, a pitch from your company knowledge, a multichannel sequence across email, LinkedIn and calls, and the sending rep. Open the draft in Alta to launch it. - Automate multi-step processes. Describe a workflow in plain language, and Alta builds or edits it in Workflows. - Bring in your CRM. Import a list from HubSpot, Salesforce, Pipedrive and others into an audience and run a campaign on it. - Run the day-to-day. Check campaigns, prospects, replies, tasks, calls and the meetings Alta booked, and ask questions about your account's performance. - Reply in context. Draft and send email and LinkedIn messages to prospects, with your confirmation before anything is sent. Who it's for: sales leaders, reps and RevOps teams who already use Alta. Limitations: requires an Alta account, and every action runs with that account's permissions. Contact details (emails, phone numbers) are not returned in search previews; enrichment happens inside Alta. Campaigns are launched in the Alta app, not from the chat. Sending a message, resuming a campaign or running enrichment has real effects, so the assistant asks before it does any of them.
Changes
No changes recorded yet. Follow this plugin to keep track of future changes.
First seen Nov 3, 2026. Last seen Nov 7, 2026.
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Keywords
Files & skills
File archives
Skill instructions
campaign-creation14.4 KB
---
name: campaign-creation
description: Build a draft outbound campaign in Alta end to end — audience, pitch, workflow, rep, launch. Use whenever the user wants to create, draft, set up, or modify an Alta campaign, and follow it before calling any campaign tool. Requires the Alta MCP server.
---
# Campaign creation (draft) skill
## Role
You orchestrate Alta's outbound **draft** campaign creation using the chat tools below. The flow has exactly **three pauses** — between pauses, you batch persist + next-build calls in a single assistant turn so the user gets to the next decision point immediately. You only have the user's messages — if required details are missing, infer reasonable defaults only where the user is silent, prefer conservative choices over blocking forever, and when the user contradicts themselves, favor the latest intent.
## Follow-ups (ask before each pause, not between batched calls)
Ask **short, concrete follow-up questions** only for inputs needed by the **next** pause-anchor tool — never for tools inside a batch, and never for inputs you can infer.
- Before **Pause 1**: if the user wants search/ICP targeting and you need filters, geography, or ICP detail, ask before `search_prospects`.
- **Inside the Pause 1 batch — DO NOT ask.** Infer `campaignName` (from the audience description) and `pitchBrief` (a one-or-two-sentence framing from the audience + conversation). The backend enriches `build_campaign_pitch` from the account's Compass (company URL, product copy, value props) and the campaign name, so a short brief is enough. Asking the user "what's your campaign name?" or "what's your pitch?" between Pause 1 and Pause 2 is wrong — the user reacts to the generated pitch in Pause 2 instead.
- **Inside the Pause 2 batch — DO NOT ask.** Infer `channels` (default to both `email` and `linkedin` unless the user explicitly named a single channel) and `instructions` (synthesize from the approved pitch's tone, top value prop, and CTA, plus the audience). Asking the user "what channels?" or "what tone?" between Pause 2 and Pause 3 is wrong — they react to the generated workflow in Pause 3. The persist (`update_campaign({ workflow })`) is also part of this batch — fire it immediately after `preview_campaign_workflow` in the same turn.
- Before closing **Pause 3**'s batch: if the user did not name a rep and did not say skip, ask who should send (or confirm skip) before `match_campaign_rep`.
When you still need information, **ask first**, then call tools — do not guess launch-critical choices without user confirmation unless you can infer them from context (audience, prior messages, or backend enrichment).
### How to ask
Ask in plain chat — short, concrete questions, one or two sentences. When the answer is one of a small set of discrete choices (e.g. confirming a pitch, picking a tone, selecting channels), phrase the options inline so the user can reply with a word or two (e.g. "Use this pitch, try a different tone, or switch the angle?"). The exact options for each pause are specified in the Pause sections below. This is about **how** you ask when asking is permitted; it does **not** override the "DO NOT ask" rules inside the Pause 1 / Pause 2 batches.
## Canonical pipeline — three pauses, batch in between
Stop only at these three pauses. Everything else flows in the same turn.
### Pause 1 — Audience
After `search_prospects` returns, ask the user in chat: "Start a campaign with this audience, refine the search, or try a different audience?". If they want to refine or switch audiences, ask a short follow-up for the new filters and call `search_prospects` again. If they want to start, run all three in a single turn — **infer the campaign name and pitch brief yourself; do not ask the user**:
1. `create_draft_campaign` — pick a `campaignName` from the audience description (e.g. "VPs of Sales — SaaS outreach"). Pass `prospectsCount` (the `total` from the prior `search_prospects` call) and a short `description` yPreview of the first 4,000 characters. Read full instructions →
Release notes
Updated the listing: a new short description, a long description that covers buying signals, workflow automation and the campaign brief, two new capabilities (Target buying signals, Automate workflows) and new starter prompts. No tool changes.
Declared in the saved package. Remote tools may change independently.
Package details
Publisher declarations from the archived package. These are separate from our research and the live service's terms.
- Package license
- MIT
- Package author
- Alta
- Keywords
- See keywords
- Commerce declaration
- Does not support commerceThis does not establish whether access is free or paid.
- Review scenarios
- 5 positive · 3 negativeScenario counts, not test results.
Declared capabilities
- Search prospects
- Target buying signals
- Build draft campaigns
- Automate workflows
- Import CRM lists
- Read campaigns, replies and meetings
- Send email and LinkedIn messages
Package observed Nov 7, 2026.
Technical details
- First seen
- Nov 3, 2026 · 00:00 UTC
- Last seen
- Nov 7, 2026 · 18:00 UTC
- Collection status
- Collected
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