Initial commit

This commit is contained in:
Zhongwei Li
2025-11-29 18:29:57 +08:00
commit 28cbddad71
12 changed files with 423 additions and 0 deletions

View File

@@ -0,0 +1,31 @@
---
name: sentiment-analysis
description: Use to interpret qualitative feedback, trends, and risks across community
channels.
---
# 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.
---