youtube-comment-analysis
Use when user requests YouTube comments. Run standalone for comment analysis or sequential with youtube-to-markdown for cross-analysis with video summary.
npx skills add majiayu000/claude-skill-registry --skill youtube-comment-analysis-vre-flow-state --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# YouTube Comment Analysis Execute all steps sequentially without asking for user approval. Use TodoWrite to track progress, update Todolist. ## Step 0: Check for video summary Check if `<output_directory>/youtube - * ({video_id}).md` exists. If found, use it for context in later steps. ## Step 1: Extract comments ```bash python3 ./extract_comments.py "<YOUTUBE_URL>" "<output_directory>" ``` Creates: youtube_{VIDEO_ID}_name.txt, youtube_{VIDEO_ID}_comments.md ## Step 2: Prefilter comments ```bash python3 ./prefilter_comments.py "<output_directory>/${BASE_NAME}_comments.md" "<output_directory>/${BASE_NAME}_comments_prefiltered.md" ``` Creates: youtube_{VIDEO_ID}_comments_prefiltered.md ## Step 3: Extract Insightful Comments task_tool: - subagent_type: "general-purpose" - model: "sonnet" - prompt: ``` SUMMARY: "<output_directory>/youtube - * ({video_id}).md" if exists INPUT: <output_directory>/${BASE_NAME}_comments_prefiltered.md OUTPUT: <output_directory>/${BASE_NAME}_comment_insights.md Detect video type from SUMMARY: - TIPS: gear reviews, rankings, practical advice - INTERVIEW: podcasts, conversations, Q&A - EDUCATIONAL: concept explanations, analysis - TUTORIAL: step-by-step inst
- Step 0: Check for video summary
- Step 1: Extract comments
- Step 2: Prefilter comments
- Step 3: Extract Insightful Comments
- Step 4: Review and tighten comment insights
- Step 5: Finalize
python3 ./extract_comments.py "<YOUTUBE_URL>" "<output_directory>"
python3 ./prefilter_comments.py "<output_directory>/${BASE_NAME}_comments.md" "<output_directory>/${BASE_NAME}_comments_prefiltered.md"
python3 ./finalize_comments.py "${BASE_NAME}" "<output_directory>"What does the youtube-comment-analysis skill do?
Use when user requests YouTube comments. Run standalone for comment analysis or sequential with youtube-to-markdown for cross-analysis with video summary.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill youtube-comment-analysis-vre-flow-state --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.