Youtube Transcript
CommandCodeAI/agent-skills
Download YouTube video transcripts when user provides a YouTube URL or asks to download/get/fetch a transcript from YouTube.
Download YouTube subtitles (SRT + timestamped TXT) for a channel, playlist or video via yt-dlp, no media download; optionally mine them into a categorized catalog (e.g.
Install Youtube Srt
$ npx skills add BlackBeltTechnology/pi-agent-dashboard --skill youtube-srt -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install BlackBeltTechnology/pi-agent-dashboard youtube-srt --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/BlackBeltTechnology/pi-agent-dashboard.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/video-transcription/.pi/skills/youtube-srt .claude/skills/youtube-srt && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "youtube-srt" agent skill from https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/video-transcription/.pi/skills/youtube-srt into .claude/skills/youtube-srt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "youtube-srt", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/video-transcription/.pi/skills/youtube-srtType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add BlackBeltTechnology/pi-agent-dashboard --skill youtube-srt -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install BlackBeltTechnology/pi-agent-dashboard youtube-srt --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BlackBeltTechnology/pi-agent-dashboard.git skills-src && mkdir -p .agents/skills && cp -r skills-src/packages/video-transcription/.pi/skills/youtube-srt .agents/skills/youtube-srt && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "youtube-srt" agent skill from https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/video-transcription/.pi/skills/youtube-srt into .agents/skills/youtube-srt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "youtube-srt", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add BlackBeltTechnology/pi-agent-dashboard --skill youtube-srt -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install BlackBeltTechnology/pi-agent-dashboard youtube-srt --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BlackBeltTechnology/pi-agent-dashboard.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/packages/video-transcription/.pi/skills/youtube-srt .cursor/skills/youtube-srt && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "youtube-srt" agent skill from https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/video-transcription/.pi/skills/youtube-srt into .cursor/skills/youtube-srt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "youtube-srt", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/BlackBeltTechnology/pi-agent-dashboard.git --path packages/video-transcription/.pi/skills/youtube-srt--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add BlackBeltTechnology/pi-agent-dashboard --skill youtube-srt -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install BlackBeltTechnology/pi-agent-dashboard youtube-srt --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BlackBeltTechnology/pi-agent-dashboard.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/packages/video-transcription/.pi/skills/youtube-srt .gemini/skills/youtube-srt && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "youtube-srt" agent skill from https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/video-transcription/.pi/skills/youtube-srt into .gemini/skills/youtube-srt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "youtube-srt", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install BlackBeltTechnology/pi-agent-dashboard youtube-srtInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add BlackBeltTechnology/pi-agent-dashboard --skill youtube-srt -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/BlackBeltTechnology/pi-agent-dashboard.git skills-src && mkdir -p .github/skills && cp -r skills-src/packages/video-transcription/.pi/skills/youtube-srt .github/skills/youtube-srt && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "youtube-srt" agent skill from https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/video-transcription/.pi/skills/youtube-srt into .github/skills/youtube-srt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "youtube-srt", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add BlackBeltTechnology/pi-agent-dashboard --skill youtube-srt -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install BlackBeltTechnology/pi-agent-dashboard youtube-srt --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BlackBeltTechnology/pi-agent-dashboard.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/packages/video-transcription/.pi/skills/youtube-srt .opencode/skills/youtube-srt && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "youtube-srt" agent skill from https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/video-transcription/.pi/skills/youtube-srt into .opencode/skills/youtube-srt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "youtube-srt", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
youtube-srt- GitHub stars
- 315
- Token cost
- ~1.2k tokens
- SKILL.md length
- 497 words
- Files
- 3 (incl. scripts)
- Skills in repo
- 70
- Repo updated
- First seen
- Licence
- MIT
At a glance
Download YouTube subtitles (SRT + timestamped TXT) for a channel, playlist or video via yt-dlp, no media download; optionally mine them into a categorized catalog (e.g.
- Works in 2 steps: fetch subtitles → model catalog (docs/models/)
- Tasks that involve Transcription
- SKILL.md covers Prerequisites, Stage 1 — fetch subtitles, Stage 2 — model catalog… and Pitfalls
- Runs Python and Shell scripts from its folder; calls pipx and python3; reaches youtube.com
What it does
Youtube Srt is an agent skill from BlackBeltTechnology/pi-agent-dashboard. Download YouTube subtitles (SRT + timestamped TXT) for a channel, playlist or video via yt-dlp, no media download; optionally mine them into a categorized catalog (e.g. AI models by function, open weights, local runnability, hardware tier). Use on "download the srt of this video", "transcripts of channel X for the last N months", "catalog the models AI Search talked about", "update docs/models".
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/build-catalog.py` and `scripts/yt-srt.sh`).
It sits in Media & Creative, covering Transcription and Video and podcast notes. It works with YouTube. The repository describes itself as: Real-time web dashboard for pi coding-agent sessions. Multi-session view, live chat mirroring, integrated terminal, diff viewer, pi-flows execution, and mobile-first remote… The licence is MIT.
When your agent uses it
- Tasks that involve Transcription
- Tasks that involve Video and podcast notes
Example prompts
- “download the srt of this video”
- “transcripts of channel X for the last N months”
- “catalog the models AI Search talked about”
- “/youtube-srt”
Requirements
- Python 3
- A Bash shell
Workflow steps
2 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 7a2d171. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 2 files in scripts/ (Python and Shell), which the agent can run.
Shell commands in SKILL.md call:
pipxpython3
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
youtube.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Youtube Srt loads about 1.2k tokens when it runs. Until then it costs about 103 tokens; SKILL.md has 497 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from BlackBeltTechnology/pi-agent-dashboard at commit 7a2d171, republished under its MIT licence (© BlackBeltTechnology). 497 words, ~1,178 tokens.
Download SKILL.mdSave it as
.claude/skills/youtube-srt/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- youtube-srt
- description
- Download YouTube subtitles (SRT + timestamped TXT) for a channel, playlist or video via yt-dlp, no media download; optionally mine them into a categorized catalog (e.g. AI models by function, open weights, local runnability, hardware tier). Use on "download the srt of this video", "transcripts of channel X for the last N months", "catalog the models AI Search talked about", "update docs/models".
YouTube SRT → catalog
Two stages. Stage 1 is generic (any channel/video). Stage 2 is the model-catalog pipeline
that produced docs/models/ from @theAIsearch.
Prerequisites
yt-dlpon PATH (pipx install yt-dlp; if pipx complains about uv:pipx install --backend pip yt-dlp).python3(stdlib only) for stage 2. No API keys — YouTube captions are free.
Stage 1 — fetch subtitles
S=packages/video-transcription/.pi/skills/youtube-srt/scripts
$S/yt-srt.sh -s now-6months "https://www.youtube.com/@theAIsearch" # channel, date window
$S/yt-srt.sh "https://www.youtube.com/watch?v=VIDEO_ID" # single video
$S/yt-srt.sh -o ~/somewhere -l "de.*,de" -n 50 "https://youtube.com/playlist?list=..."| Flag | Meaning | Default |
|---|---|---|
-o DIR | output dir | ~/Documents/Media/youtube/<@handle> (or misc) |
-s SINCE | lower upload-date bound (YYYYMMDD, now-6months, today-30days) — stops at first older video | none |
-l LANGS | yt-dlp --sub-langs | en.*,en |
-n MAX | max playlist items scanned | 200 |
Output per video: <YYYYMMDD>_<id>_<title>.<lang>.srt + .txt ([mm:ss] line, rolling
auto-caption duplicates removed, ~4× smaller — feed THIS to LLMs). index.tsv = id, date,
duration, url, title. Manual subs preferred, auto-captions fallback; when both en-orig and en
exist only en-orig is kept.
Idempotent: .archive.txt skips fetched IDs; IDs whose subtitles failed (HTTP 429) are removed
from the archive and the script prints WARN: N video(s) without subtitles → just rerun later.
Stage 2 — model catalog (docs/models/)
- Fetch:
$S/yt-srt.sh -s <window> "https://www.youtube.com/@theAIsearch". - Batch: in
<out>/extract/,ls ../*.txt | sort | split -l 6 -a 1 - batch-(~6 videos ≈ 60k tokens per batch; for an incremental update list only the new.txtfiles and pick unused batch letters). - Extract: one
general-purposesubagent per batch (host cap ≈ 2 concurrent), prompt:Working dir: <out>. Read extract/PROMPT.md and follow it exactly. Batch file extract/batch-X; write extract/X.jsonl.PROMPT.mdholds the schema below; copy it from an existing<out>/extract/PROMPT.mdor recreate from this section. - Render:
python3 $S/build-catalog.py <out>/extract docs/models→README.md, one<category>.mdper function,local-hardware.md(tiers T0–T5),models.jsonl(merged, one model per line). Hand-curatedpicks.mdis never touched by the renderer — refresh it via DocScribe when data changes.
Show full SKILL.md (217 more words)Show less
Extraction schema (one JSON object per model per video)
model, family, vendor, category, functions[], open_weights, license, local_runnable, params, size_gb, hardware, tooling, access, strengths, weaknesses, benchmarks, video_id, video_date, timestamp
category ∈ llm coding multimodal-omni image-gen image-edit video-gen video-edit music tts-voice asr-speech realtime-voice 3d world-model avatar-lipsync agent robotics science-medical embedding-other.
Null when the video doesn't say — never invent numbers. Skip sponsor segments.
Merge + tier rules (build-catalog.py)
- Same model across videos = same normalized
modelstring; latest non-null fact wins; category = most frequent; every mention kept as a timestamped source link. - Hardware tier (local models only): explicit GB → tier; else presenter wording (per
;-clause strongest requirement, cheapest clause wins); else checkpoint size as est. T0 phone/CPU · T1 ≤8 GB · T2 ≤16 GB · T3 ≤32 GB · T4 ≤128 GB workstation · T5 multi-GPU.
Pitfalls
- HTTP 429 from YouTube on bulk runs: built-in
--sleep-subtitles 2; rerun to fill gaps. --break-on-rejectmakes yt-dlp exit non-zero on a date-bounded run — expected, ignored.- Auto-captions mishear names ("clawed" = Claude, "Quen" = Qwen); extraction prompt tells the agent to correct obvious ones; residual oddities stay as heard.
- Names that differ between videos ("Qwen 3.6" vs "Qwen3.6 35B-A3B") stay separate rows — normalization is deliberately conservative.
- Specs are the presenter's claims, unverified. The catalog says so; keep that caveat.
- Keep raw transcripts outside the repo; the catalog cites YouTube URLs with
&t=only.
© BlackBeltTechnology, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files (scripts) in packages/video-transcription/.pi/skills/youtube-srt of BlackBeltTechnology/pi-agent-dashboard.
- SKILL.md
- scripts/build-catalog.py
- scripts/yt-srt.sh
Open the folder on GitHubat commit 7a2d171
Compare with similar skills
Youtube Srt next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Youtube Srt this skillBlackBeltTechnology/pi-agent-dashboard | 315 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Youtube TranscriptCommandCodeAI/agent-skills | 133 | 1 repos | ~3.4k | Automated safety check: Notes | MIT | |
| Omk YoutubeKaimingWan/oh-my-kiro | 107 | — | ~381 | Automated safety check: Pass | MIT | |
| Youtube Batch Transcript Extractor API Skillbrowser-act/skills | 6.1k | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Extract Transcriptpamelafox/presentation-skills | 125 | — | ~287 | Automated safety check: Pass | MIT | |
| Youtube CLIItamarZand88/CLI-Anything-WEB | 231 | — | ~764 | Automated safety check: Pass | MIT |
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Create a verbatim transcript for a YouTube URL using Google Gemini (speaker labels, paragraph breaks; no time codes).
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Related
Works with
Categories
Questions about Youtube Srt
What does Youtube Srt do?
Download YouTube subtitles (SRT + timestamped TXT) for a channel, playlist or video via yt-dlp, no media download; optionally mine them into a categorized catalog (e.g. Youtube Srt is an agent skill from BlackBeltTechnology/pi-agent-dashboard.g.
When should I use Youtube Srt?
Youtube Srt fits situations like: tasks that involve Transcription; tasks that involve Video and podcast notes.
How do I install Youtube Srt in Claude Code?
Run `npx skills add BlackBeltTechnology/pi-agent-dashboard --skill youtube-srt -a claude-code`. Or copy the skill folder (packages/video-transcription/.pi/skills/youtube-srt in BlackBeltTechnology/pi-agent-dashboard) into .claude/skills/youtube-srt in your project. Claude Code loads it when a task matches its description.
How do I install Youtube Srt in Codex?
Run `npx skills add BlackBeltTechnology/pi-agent-dashboard --skill youtube-srt -a codex`. Or copy the skill folder (packages/video-transcription/.pi/skills/youtube-srt in BlackBeltTechnology/pi-agent-dashboard) into .agents/skills/youtube-srt in your project. Codex loads it when a task matches its description.
Can I use Youtube Srt in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add BlackBeltTechnology/pi-agent-dashboard --skill youtube-srt -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/youtube-srt, .gemini/skills/youtube-srt, .github/skills/youtube-srt and .opencode/skills/youtube-srt in your project.
What does Youtube Srt need to run?
Going by SKILL.md and its folder, Youtube Srt needs Python and a shell for the scripts in its folder and the command-line tools its instructions call (pipx and python3). Our summary lists: Python 3; A Bash shell.
Does Youtube Srt access the network?
SKILL.md names 1 domain. In commands or code: youtube.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Youtube Srt safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Youtube Srt use?
Youtube Srt is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Youtube Srt use?
About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Youtube Srt?
Skills that share tags, products or a category with Youtube Srt: Youtube Transcript (CommandCodeAI/agent-skills, 133 stars), Omk Youtube (KaimingWan/oh-my-kiro, 107 stars), Youtube Batch Transcript Extractor API Skill (browser-act/skills, 6.1k stars) and Extract Transcript (pamelafox/presentation-skills, 125 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Youtube Srt?
BlackBeltTechnology (a GitHub organization) maintains it in BlackBeltTechnology/pi-agent-dashboard, which has 315 GitHub stars. The repository holds 70 skills in this directory. The repository was last updated on October 10, 2026.
Source: BlackBeltTechnology/pi-agent-dashboard on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.