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Generalgtmagents

sentiment-analysis

Use to interpret qualitative feedback, trends, and risks across community

Stars
259
Source
gtmagents/gtm-agents
Updated
2026-04-03
Slug
gtmagents--gtm-agents--sentiment-analysis
View on GitHubRaw SKILL.md

// install — copy + paste into any project

mkdir -p .claude/skills && curl -fsSL https://raw.githubusercontent.com/gtmagents/gtm-agents/HEAD/plugins/community-orchestration/skills/sentiment-analysis/SKILL.md -o .claude/skills/sentiment-analysis.md

Drops the SKILL.md into .claude/skills/sentiment-analysis.md. Works with Claude Code, Cursor, and any agent that loads SKILL.md files from .claude/skills/.

Community Sentiment Analysis Skill

When to Use

  • Monitoring community tone during launches, incidents, or roadmap changes.
  • Preparing executive updates that require member sentiment context.
  • Prioritizing response or enablement efforts based on emerging themes.

Framework

  1. Signal Sources – forums, chat transcripts, surveys, social listening, support tickets.
  2. Tagging Schema – categorize by emotion, topic, product area, persona, and severity.
  3. Trend Analysis – track frequency over time, correlate with launches or incidents.
  4. Risk Scoring – define thresholds for escalation (negative volume, influencer involvement, compliance).
  5. Action Loop – translate findings into comms responses, content updates, or product feedback tasks.

Templates

  • Sentiment tagging sheet (message → tags → severity → owner).
  • Trend report layout with charts + narrative.
  • Escalation matrix referencing response SLAs.

Tips

  • Combine manual review with NLP dashboards to balance accuracy + scale.
  • Capture representative quotes for exec storytelling.
  • Pair with measure-engagement command to provide recommendations alongside metrics.