القائمة
Extract transcripts from YouTube videos. Use when the user asks for a transcript, subtitles, or captions and provides a YouTube URL or 11-character video ID. Supports plain text, timestamped output, language selection, and writing directly to a file.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Turn a web article into a faithful-capture literature note in an Obsidian vault. Use when the user wants to ingest a web page (blog post, essay, technical article, documentation page) into their personal source notes corpus. Fetches the page, extracts structured content (TL;DR, takeaways, faithful body prose, references). The article sibling of youtube-synthesizer — same vault conventions, same frontmatter base schema, no frame pipeline.
Manage the PR review feedback loop: monitor CI checks, fetch review comments, and iterate on fixes. Use when: (1) pushing changes to a PR and waiting for CI/reviews, (2) user says "new reviews available", (3) iterating on PR feedback from Gemini, Cursor, Claude, or other reviewers, (4) monitoring PR status. Supports multiple review bots: Gemini Code Assist, Cursor Bugbot, and Claude agent fallback. Also supports custom agent reviewers defined in AGENT-REVIEWERS.md for focused reviews (security, DRY, etc.). Automatically detects priority levels from different bot formats and handles rate limits.
Mine this project's Claude Code session logs into durable improvements — proposed memories, CLAUDE.md rules, docs, skills, and decision-log (DECISIONS.md) entries. Async "AI dreaming": distill raw sessions into friction-focused digests, then consolidate across sessions (dedup vs what's already captured, including any project DECISIONS.md, frequency-gated promotion). Use when: (1) the user asks to mine/learn-from past sessions, "dream over my logs", or improve project memory/docs from experience; (2) a nightly/periodic self-improvement pass; (3) after a stretch of work, to capture recurring lessons. NOT for reviewer-roster tuning — that's the `dream-reviewers` skill.
Validate the agent reviewers that gate a project's quality (the pr-review-loop roster). Mine every PR's review threads + the dream-marker stream into per-reviewer scorecards (acceptance rate, false-positive/won't-fix/reopen rates, taste overrides), then propose roster changes (keep / refine / retire). Use when: (1) the user asks to validate/audit/tune their PR reviewers or AGENT-REVIEWERS.md, (2) deciding whether a reviewer earns its keep or should be retired/refined, (3) a periodic reviewer-health pass. For mining general session lessons, use the `dream` skill instead.
Compact the current conversation into a handoff document so a fresh agent (new session, different machine, or a teammate's chat) can pick up the in-flight work without ramping from zero. Use when: (1) ending a long session with state that won't survive compaction or memory alone, (2) handing work to a teammate or a different agent (Claude Code → Codex, Claude → Cursor), (3) parking work for later when the to-resume context is too large to reconstruct from git history + beads alone.
Turn a YouTube video into a faithful-capture literature note in an Obsidian vault, with optional Dropbox sync via rclone. Use when the user wants to ingest a video (explainer, howto, lecture) into their personal source notes corpus. Combines transcript + load-bearing visual frames + structured extraction. Auto-discovers vaults under ~/ObsidianVaults/ and offers to push the new entry to dropbox: after writing.
| name | youtube-transcript |
| description | Extract transcripts from YouTube videos. Use when the user asks for a transcript, subtitles, or captions and provides a YouTube URL or 11-character video ID. Supports plain text, timestamped output, language selection, and writing directly to a file. |
Fetch auto-generated or manually-uploaded captions from a YouTube video via the youtube-transcript-api library (run via uv run --script).
# Plain transcript to stdout
scripts/get_transcript.py "<URL_OR_VIDEO_ID>"
# With timestamps
scripts/get_transcript.py "<URL_OR_VIDEO_ID>" --timestamps
# Specific language (falls back to default if unavailable)
scripts/get_transcript.py "<URL_OR_VIDEO_ID>" --lang en
# Write directly to a file
scripts/get_transcript.py "<URL_OR_VIDEO_ID>" -o transcript.txt
If the user doesn't specify a filename, either print to stdout or save as <VIDEO_ID>-transcript.txt using -o.
https://www.youtube.com/watch?v=VIDEO_IDhttps://youtu.be/VIDEO_IDhttps://youtube.com/embed/VIDEO_IDhttps://youtube.com/shorts/VIDEO_ID--timestamps): [MM:SS] text (or [HH:MM:SS] for long videos).The script errors out when a video has no captions at all. Pass that error back to the user — do not fabricate a transcript.
uv — installs the Python dependencies in an ephemeral venv at invocation time. Install with curl -LsSf https://astral.sh/uv/install.sh | sh or pip install uv.youtube.com (the script calls the public timedtext endpoint directly).