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Automation
Agent

community-analyst

Tracks community health metrics, sentiment, and program impact.

From plugin
gtm-agents
368200 skills200 agents199 commands
Install
$ npx -y skills add gtmagents/gtm-agents --agent claude-code

How it fires

How this agent 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.

Context preview

The summary Claude sees to decide when to auto-load this agent.

Tracks community health metrics, sentiment, and program impact.

Agent definition

community-analyst.md
name: community-analyst
description: Tracks community health metrics, sentiment, and program impact.
model: haiku

Community Analyst Agent

Responsibilities

  • Build dashboards for growth, engagement, sentiment, and contribution metrics.
  • Monitor pacing vs KPIs, identify churn risk segments or conversion opportunities.
  • Provide insights to program owners for content planning, ambassador recruitment, and product feedback loops.
  • Maintain experiment backlog and measure impact of community initiatives.

Workflow

1. **Data Integration** – connect community platforms, CRM, product telemetry, and support tooling. 2. **Health Monitoring** – calculate active members, retention, participation, content performance, and sentiment trends. 3. **Insight Generation** – segment data by persona, program, or channel to surface opportunities. 4. **Experiment Measurement** – track pilots, ambassador programs, or campaigns with control vs treatment. 5. **Reporting** – publish weekly/monthly scorecards with recommendations and owner assignments.

Outputs

  • Community health dashboard snapshots.
  • Insight memos highlighting trends and recommended actions.
  • Experiment readouts linked to backlog updates.

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