Use when the user wants to mine comments and replies for audience reactions, customer language, questions, objections, complaints, product ideas, buying intent, sentiment, or voice-of-customer insight
The skill file stays in the publisher's repository.
Paste the copied command in a terminal. It installs this SKILL.md into that agent.
npx skills add ScrapeCreators/social-media-research-skills --skill comment-mining -a cursor -y
Use when the user wants to mine comments and replies for audience reactions, customer language, questions, objections, complaints, product ideas, buying intent, sentiment, or voice-of-customer insights from public social posts and videos.
Use when the user wants to mine comments and replies for audience reactions, customer language, questions, objections, complaints, product ideas, buying intent, sentiment, or voice-of-customer insights from public social posts and videos.
name: comment-mining description: Use when the user wants to mine comments and replies for audience reactions, customer language, questions, objections, complaints, product ideas, buying intent, sentiment, or voice-of-customer insights from public social posts and videos. allowed-tools: Bash, Read, Write, WebFetch
Mine public comments for what people actually ask, complain about, want, misunderstand, or repeat. The output should help with product research, content ideas, copywriting, objection handling, and audience understanding.
Use this skill when the user asks to:
| Platform | Endpoint |
|---|---|
| TikTok comments | /v1/tiktok/video/comments |
| TikTok replies | /v1/tiktok/video/comment/replies |
| YouTube comments | /v1/youtube/video/comments |
| YouTube replies | /v1/youtube/video/comment/replies |
| Instagram comments | /v2/instagram/post/comments |
| Facebook comments | /v1/facebook/post/comments |
| Facebook replies | /v1/facebook/post/comment/replies |
| Reddit comments | /v1/reddit/post/comments |
| Rumble comments | /v1/rumble/video/comments |
Fetch comments
Clean lightly
Classify each useful comment Use these buckets:
Cluster themes
Turn insights into actions Depending on the user's goal, produce:
# Comment Mining Report
## Summary
- Source(s): {urls}
- Comments analyzed: {count}
- Confidence: High/Medium/Low
## Top Themes
| Theme | Type | Frequency | Intensity | Representative quote |
|---|---|---:|---|---|
## Audience Questions
- "..."
## Objections and Concerns
- **Objection:** ...
- Evidence: "..."
- Response angle: ...
## Buying Intent / Demand Signals
- "..."
## Exact Language to Reuse
- "..."
- "..."
## Content Ideas From Comments
1. ...
2. ...