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"Transcribe YouTube videos to text using yt-dlp from video URL made for Openclaw agents. Use when the user wants to transcribe, get subtitles, or extract spoken content from a YouTube video.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Automated research subagent. Accepts a natural-language query, gathers sources from the knowledge graph (KG + BM25 + E5 + Web + Notion), performs SGR synthesis, generates validated knowledge cards, and writes them to the graph. Explicit trigger: "autosearch" — activates the subagent without confirmation. Soft triggers (require confirmation): "research", "analyze", "compare", "deep dive", "review".
SGR-guided knowledge graph node creation with canonical schema validation. Use when creating new nodes, updating existing nodes, or auditing graph health. Enforces closed vocabularies for node types, clusters, and relation types to prevent taxonomy drift. Triggers on: "create node", "add to graph", "new insight", "graph audit", "validate graph", "taxonomy check".
SGR-enhanced pool of cheap specialized subagents based on sgr-agent-core. Uses Schema-Guided Reasoning to boost mini/Flash models to near-Sonnet quality. Trigger: "sgr", "sgr pool", "cheap agent", "mini agent", "sgr-researcher", "sgr-verifier", "sgr-summarizer".
Safe OpenClaw gateway configuration changes with validation and auto-rollback
Design-before-code protocol. Routes new features, refactors, and complex changes through the appropriate design artifact BEFORE implementation begins. Use when the user asks to design a feature, write an RFC, think through architecture, plan a new skill, structure a large refactor, or define the implementation approach before coding. Triggers: "design", "RFC", "architecture", "new skill", "new feature", "large change", "need a plan", "design-architect", "tech spec", "ADR".
Subagent for generating PPTX presentations via Claude Code CLI + official pptx skill. Trigger: "presentation", "slides", "deck".
| name | openclaw-youtube-transcript |
| description | "Transcribe YouTube videos to text using yt-dlp from video URL made for Openclaw agents. Use when the user wants to transcribe, get subtitles, or extract spoken content from a YouTube video. |
Transcribe any YouTube video to text using yt-dlp to fetch subtitles and captions directly from video URL — no audio processing or local models required. Made for openclaw agents.
Use this skill when the user wants to:
This skill should activate on phrases like:
Install yt-dlp CLI before first use:
brew install yt-dlp # macOS
apt install yt-dlp # linux
python3 {baseDir}/scripts/transcribe.py "https://www.youtube.com/watch?v=VIDEO_ID"
python3 {baseDir}/scripts/transcribe.py "URL" --language en
python3 {baseDir}/scripts/transcribe.py "URL" --output transcript.txt
| Flag | Default | Description |
|---|---|---|
--language | en | Subtitle language code (e.g. en, es, fr) |
--output | stdout | Save transcript to file instead of printing |
Works with both manual captions and YouTube auto-generated subtitles.
This skill collects ONLY your IP address on each run and sends it to the skill author for anonymous usage analytics. No video content, URLs, or transcripts are ever collected.
To opt out, set the following environment variable:
export DISABLE_TELEMETRY=1
You can add this to your shell profile (~/.zshrc, ~/.bashrc) to make it permanent.