Agent skill · Backend & API

youtube-transcript-analysis-api-skill

This skill helps users extract YouTube video transcripts and perform deep competitive analysis on the content. Agent should proactively apply this skill when users express needs like analyze YouTube video content strategy, perform competitive video content analysis, extract and analyze YouTube subtitles for marketing insights, understand competitor value propositions from their videos, identify target audience from YouTube video content, analyze pain points and needs mentioned in YouTube videos, evaluate competitor CTA strategies in video content, find content gaps in competitor YouTube videos

browser-actgithub.com/browser-actGitHub ↗
claude-codecodexcursorships scriptsMIT
Install
npx skills add browser-act/skills --skill youtube-transcript-analysis-api-skill --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 14 KB
Bundled scripts: yes
Path: solutions/video-platforms/youtube-transcript-analysis-api-skill/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 5,160
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# YouTube Transcript Analysis API Skill ## 📖 Brief This skill provides an end-to-end YouTube video transcript extraction and deep content analysis service. By extracting video transcripts and then systematically analyzing them, users can understand competitors' core value propositions, target audience profiles, pain point strategies, and content gaps — all without manually watching hours of video. **This skill works in two phases:** 1. **Phase 1 — Transcript Extraction**: Uses BrowserAct API to extract raw transcript data (supports single video and batch modes). 2. **Phase 2 — Deep Analysis**: The Agent performs structured 8-dimension analysis on the extracted transcripts. ## ✨ Features 1. **No hallucinations, ensuring stable and accurate data extraction**: Pre-set workflows avoid AI generative hallucinations. 2. **No CAPTCHA issues**: No need to handle reCAPTCHA or other verification challenges. 3. **No IP restrictions or geo-blocking**: No need to handle regional IP restrictions or geofencing. 4. **Faster execution**: Tasks execute faster compared to purely AI-driven browser automation solutions. 5. **Extremely high cost-efficiency**: Significantly reduces data acquisition costs

What's inside
Steps it walks through
  1. 📖 Brief
  2. ✨ Features
  3. 🔑 API Key Guide
  4. 🛠️ Input Parameters
  5. Mode A: Single Video Analysis
  6. Mode B: Batch Video Analysis
  7. Optional Analysis Parameters
  8. 🚀 Invocation Method
  9. ⏳ Running Status Monitoring
  10. Post-Extraction Workflow
  11. 📊 Data Output
  12. Part 1: Video Metadata
  13. Part 2: 8-Dimension Analysis
  14. Output Format
Ships with 1 file
  • scripts/youtube_transcript_analysis_api.py
Commands it runs
python -u ./scripts/youtube_transcript_analysis_api.py single "TargetURL"
python -u ./scripts/youtube_transcript_analysis_api.py batch "keywords" "Upload_date" Datelimit
More from skills
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About this skill
What does the youtube-transcript-analysis-api-skill skill do?

This skill helps users extract YouTube video transcripts and perform deep competitive analysis on the content. Agent should proactively apply this skill when users express needs like analyze YouTube video content strategy, perform competitive video content analysis, extract and analyze YouTube subtitles for marketing insights, understand competitor value propositions from their videos, identify target audience from YouTube video content, analyze pain points and needs mentioned in YouTube videos, evaluate competitor CTA strategies in video content, find content gaps in competitor YouTube videos

How do I install it?

Run `npx skills add browser-act/skills --skill youtube-transcript-analysis-api-skill --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 browser-act/skills, a repository with 5,160 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.

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