Back to list
vre

youtube-comment-analysis

by vre

Flow State - a Claude Plugin Marketplace

6🍴 0📅 Jan 13, 2026

SKILL.md


name: youtube-comment-analysis description: Use when user requests YouTube comments. Run standalone for comment analysis or sequential with youtube-to-markdown for cross-analysis with video summary. allowed-tools:

  • Bash
  • Read
  • Write
  • Task
  • AskUserQuestion
  • Skill

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

python3 ./extract_comments.py "<YOUTUBE_URL>" "<output_directory>"

Creates: youtube_{VIDEO_ID}name.txt, youtube{VIDEO_ID}_comments.md

Step 2: Prefilter comments

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 instructions

Write to OUTPUT in format:

## Comment Insights ([2-7 word theme])

**Key Takeaway**: [One paragraph - ONLY if adds value beyond bullets]

[Include type-specific sections if found in comments:]

TUTORIAL:
- **Common Failures**: [what goes wrong, why, how to fix]
- **Success Patterns**: [what worked, time investment]

TIPS:
- **What Worked/Didn't**: [real-world validation]
- **Alternatives Mentioned**: [products, methods]

INTERVIEW:
- **Points of Agreement/Debate**: [where commenters align/clash]
- **Related Stories**: [personal experiences shared]

EDUCATIONAL:
- **Corrections/Extensions**: [where commenters add/fix content]
- **Debates**: [alternative viewpoints]

**[Additional themes as needed]**:
- [insight with **keyword highlights**]

Rules:
- Extract insights NOT already in summary
- Prioritize actionable over opinions
- Include commenter attribution only if expertise matters

ACTION REQUIRED: Use the Write tool NOW to save output to OUTPUT file.

Step 4: Review and tighten comment insights

task_tool:

  • subagent_type: "general-purpose"
  • model: "sonnet"
  • prompt:
SUMMARY: "<output_directory>/youtube - * ({video_id}).md" if exists
INPUT: <output_directory>/${BASE_NAME}_comment_insights.md
OUTPUT: <output_directory>/${BASE_NAME}_comment_insights_tight.md

You are an adversarial copy editor. Your job is to ruthlessly cut fluff and enforce quality standards.

Rules:
- Remove insights already in summary file
- Cut filler, prefer lists over prose
- Keep only exceptional value-add insights
- Preserve type-specific sections (Common Failures, What Worked/Didn't, etc.)

ACTION REQUIRED: Use the Write tool NOW to save output to OUTPUT file.

Step 5: Finalize

python3 ./finalize_comments.py "${BASE_NAME}" "<output_directory>"

Output: youtube - {title} - comments ({video_id}).md

Use --debug flag to keep intermediate work files for inspection.

Score

Total Score

65/100

Based on repository quality metrics

SKILL.md

SKILL.mdファイルが含まれている

+20
LICENSE

ライセンスが設定されている

+10
説明文

100文字以上の説明がある

0/10
人気

GitHub Stars 100以上

0/15
最近の活動

1ヶ月以内に更新

+10
フォーク

10回以上フォークされている

0/5
Issue管理

オープンIssueが50未満

+5
言語

プログラミング言語が設定されている

+5
タグ

1つ以上のタグが設定されている

+5

Reviews

💬

Reviews coming soon