Pre-built workflows for GTM teams using CatchIntent with AI tools like Claude Code, Cursor, and Windsurf.
Connect your CatchIntent workspace to your AI tool first:
claude mcp add catchintent --transport http https://engine.catchintent.com/mcpSee setup docs for other clients.
npx skills add catchintent/skillsCatchIntent has two product surfaces — Social Listening (Reddit/HN/X/Bluesky signals from your listeners) and LinkedIn Intelligence (LinkedIn agents that deliver scored leads). Skills are organized accordingly.
Workflows for the LinkedIn agents + leads pipeline.
| Skill | What it does | Trigger |
|---|---|---|
| tune-agent | Adjust an agent's ICP / keywords / signals based on real lead-quality feedback, then start a fresh run | "Tune my agent", "leads are off", "adjust targeting" |
| browse-leads | Daily lead review — what's hot, what to action first | "Show me my leads", "what's hot today", "review the queue" |
| research-lead | Deep dive on a single lead — discovery context, pain hypothesis, suggested angle | "Research [name]", "what's the angle on this lead" |
| triage-leads | One-at-a-time bulk triage — save / archive / skip until the queue is clear | "Triage my leads", "clear the queue" |
| enrich-leads | Free public-web research first; fall back to paid enrich_linkedin_lead only when needed |
"Enrich [name]", "find email", "fill out the profile" |
| ab-outreach | Draft 2-3 distinct variants with different pain angles; user picks the winner | "Draft DMs for [name]", "give me variants", "A/B this" |
Workflows for the signals + listeners + outreach surface (Reddit / HN / X / Bluesky).
| Skill | What it does | Trigger |
|---|---|---|
| morning-signals | Daily signal review — pulls hot signals, prioritizes, recommends next steps | "Check my signals", "what's new today" |
| draft-outreach | Drafts personalized outreach for your best signals in your brand voice | "Draft replies", "write DMs for my signals" |
| handle-replies | Classifies prospect replies and drafts contextual follow-ups | "Handle my replies", "what should I say back" |
| pipeline-review | Reviews pipeline health — stale signals, follow-ups needed, deals to close | "How's my pipeline", "what needs follow-up" |
| listener-tune | Analyzes keyword performance, suggests optimizations | "How are my listeners doing", "optimize keywords" |
| campaign-retro | Diagnoses what's broken — targeting, voice, or reply handling | "Why aren't my signals converting", "what's not working" |
| weekly-report | Generates a team-ready weekly performance summary | "Weekly report", "how did we do this week" |
Cross-product workspace configuration.
| Skill | What it does | Trigger |
|---|---|---|
| calibrate-voice | Calibrates brand voice from your real messages or a preset archetype | "Set up my voice", "my responses don't sound like me" |
| craft-offer | Builds your product offer — value prop, pain point, mechanism, proof — that powers all AI outreach | "Set up my offer", "my outreach feels generic" |
LinkedIn Intel — daily:
/browse-leads → /triage-leads → /research-lead (top saves) → /ab-outreach
LinkedIn Intel — when leads feel off:
/browse-leads → /tune-agent → wait for new run → /browse-leads
Social Listening — daily:
/morning-signals → /draft-outreach → /handle-replies
First-time setup:
/calibrate-voice → /craft-offer → /listener-tune (Social Listening) and/or /tune-agent (LinkedIn Intel)
Weekly optimization:
/weekly-report → /campaign-retro (if something's off) → /listener-tune
These skills are playbooks that tell your AI tool how to use CatchIntent's MCP tools effectively. They handle the workflow logic — which tools to call, in what order, and how to present results — so you just describe what you want in plain language.
All skills follow STANDARDS.md — shared conventions for data-first analysis, confirm-before-write, and cross-skill references.
See STANDARDS.md for the skill authoring conventions and the agentskills.io spec for the SKILL.md format.