sentiment-analysis

v2026.09.25

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

GitHub
Install command
npx skhub add gtmagents/sentiment-analysis
Markdown
SKILL.md

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.

Discovery
Tags

No tags published for this skill.

Version
Latest version metadata

Version

v2026.09.25

Published

Sep 25, 2026

Category

Uncategorized

License

Apache-2.0

Source path

plugins/community-orchestration/skills/sentiment-analysis

Default branch

main

Latest commit

78e0419

Tree SHA

9016d99