/community-insight-taxonomy
Tagging schema for classifying community signals by persona, journey,
$ npx -y skills add gtmagents/gtm-agents --skill community-insight-taxonomy --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/community-insight-taxonomy
Context preview
The summary Claude sees to decide when to auto-load this skill.
Tagging schema for classifying community signals by persona, journey,
SKILL.md
community-insight-taxonomy.SKILL.mdname: community-insight-taxonomy description: Tagging schema for classifying community signals by persona, journey, and business impact.
Community Insight Taxonomy Skill
When to Use
- Standardizing feedback tagging across forums, events, surveys, and interviews.
- Sharing structured insights with product, marketing, or CS teams.
- Powering dashboards and AI routing for community signals.
Framework
1. **Persona Dimension** – builders, admins, execs, partners, champions, newcomers. 2. **Journey Stage** – onboarding, activation, adoption, expansion, advocacy, lapse. 3. **Driver Dimension** – product, support, education, pricing, community experience, roadmap. 4. **Sentiment & Urgency** – positive/neutral/negative + severity/impact. 5. **Business Linkage** – map to ARR tier, account health, opportunity pipeline, or churn risk.
Templates
- Tag dictionary with definitions, examples, and confidence guidelines.
- Airtable/Sheet schema with validation + automation hooks.
- Quick-reference cheatsheet for moderators/interviewers.
Tips
- Run monthly taxonomy reviews to merge duplicates and add emerging themes.
- Capture "what good looks like" examples to maintain consistency.
- Pair with `run-member-insight-sprint` for auto-tagged datasets.
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