Native Subtitle Quote Image
chengyi-ai/native-subtitle-quote-image
将本地视频或用户有权处理的在线视频，经过来源获取、文字稿定位、选题选句、精确取帧、紧凑裁切、拼图和逐张质检，制作成 3:4 或保留画面原比例的视频字幕长图。支持两种明确分开的输出：保留画面内已烧录字幕的原生字幕模式，以及把已审核的时间点与台词绘制到真实视频帧上的脚本字幕模式。用户要求原生字幕截图、字幕帧拼图、YouTube…
Pull a YouTube video transcript into a queryable markdown vault with yt-dlp subtitle discovery, VTT cleanup, metadata frontmatter, and capture-seed stubs.
Install Ingest Youtube
$ npx skills add sickn33/agentic-awesome-skills --skill ingest-youtube -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills ingest-youtube --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/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ingest-youtube .claude/skills/ingest-youtube && 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 "ingest-youtube" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/ingest-youtube into .claude/skills/ingest-youtube/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ingest-youtube", 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/sickn33/agentic-awesome-skills/tree/main/skills/ingest-youtubeType 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 sickn33/agentic-awesome-skills --skill ingest-youtube -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills ingest-youtube --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ingest-youtube .agents/skills/ingest-youtube && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ingest-youtube" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/ingest-youtube into .agents/skills/ingest-youtube/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ingest-youtube", 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 sickn33/agentic-awesome-skills --skill ingest-youtube -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills ingest-youtube --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ingest-youtube .cursor/skills/ingest-youtube && 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 "ingest-youtube" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/ingest-youtube into .cursor/skills/ingest-youtube/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ingest-youtube", 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/sickn33/agentic-awesome-skills.git --path skills/ingest-youtube--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 sickn33/agentic-awesome-skills --skill ingest-youtube -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills ingest-youtube --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ingest-youtube .gemini/skills/ingest-youtube && 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 "ingest-youtube" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/ingest-youtube into .gemini/skills/ingest-youtube/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ingest-youtube", 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 sickn33/agentic-awesome-skills ingest-youtubeInstalls 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 sickn33/agentic-awesome-skills --skill ingest-youtube -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ingest-youtube .github/skills/ingest-youtube && 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 "ingest-youtube" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/ingest-youtube into .github/skills/ingest-youtube/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ingest-youtube", 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 sickn33/agentic-awesome-skills --skill ingest-youtube -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills ingest-youtube --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ingest-youtube .opencode/skills/ingest-youtube && 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 "ingest-youtube" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/ingest-youtube into .opencode/skills/ingest-youtube/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ingest-youtube", 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
ingest-youtube- GitHub stars
- 47k
- Used in
- 1 other repo
- Token cost
- ~1.6k tokens
- SKILL.md length
- 653 words
- Files
- 2
- Skills in repo
- 1,497
- Repo updated
- First seen
- Licence
- MIT
At a glance
Pull a YouTube video transcript into a queryable markdown vault with yt-dlp subtitle discovery, VTT cleanup, metadata frontmatter, and capture-seed stubs.
- Works in 10 steps: Parse the input as one YouTube video URL. → Verify yt-dlp is installed. If not, the… → Validate the URL as a single http(s)… → …
- Tasks that involve Transcription
- SKILL.md covers When to use, How it works, Invocation and Output contract, plus 6 more sections
- Runs Python scripts from its folder; calls yt-dlp, python3 and brew; reaches youtube.com
What it does
Ingest Youtube is an agent skill from sickn33/agentic-awesome-skills. Pull a YouTube video transcript into a queryable markdown vault with yt-dlp subtitle discovery, VTT cleanup, metadata frontmatter, and capture-seed stubs.
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `ingest.py`).
It sits in Media & Creative, covering Transcription. It works with YouTube. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.
When your agent uses it
- Tasks that involve Transcription
Example prompts
- “/ingest-youtube”
Requirements
- Python 3
Workflow steps
10 steps, taken from the first numbered list in SKILL.md.
- Parse the input as one YouTube video URL.
- Verify yt-dlp is installed. If not, the script exits with install instructions: brew install yt-dlp (macOS) or pip3 install --user yt-dlp.
- Validate the URL as a single http(s) YouTube video and call yt-dlp --ignore-config --list-subs -- to enumerate available subtitles.
- Subtitle priority: manual subs > auto-generated captions. Manual subs preserve creator-provided punctuation and speaker labels; auto-gen…
- Download the highest-priority subtitle as VTT via yt-dlp --write-sub --sub-lang --skip-download. Default language preference: en,es…
- Strip VTT timing markers and merge into clean prose paragraphs. Deduplicate repeated lines (auto-generated VTTs are line-doubled)…
- Pull video metadata (title, channel, upload date, duration, video_id, URL) via yt-dlp --print-json --skip-download.
- Slugify the channel name and video title. Write to External Inputs/YouTube//-.md.
- Scan transcript for trigger keywords (decision, framework, model, principle, "the lesson is", playbook, anti-pattern, case study). For…
- Print summary: file path, transcript word count, language, seeds detected.
What it can do on your machine
Read from SKILL.md and the folder at commit b84d35a. 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 script files (Python), which the agent can run.
Shell commands in SKILL.md call:
yt-dlppython3brewpip3
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
Also links to:
github.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
Ingest Youtube loads about 1.6k tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 653 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); files beside SKILL.md are not scanned.
SKILL.md
The full file from sickn33/agentic-awesome-skills at commit b84d35a, republished under its MIT licence (© sickn33). 653 words, ~1,579 tokens.
Download SKILL.mdSave it as
.claude/skills/ingest-youtube/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- ingest-youtube
- description
- Pull a YouTube video transcript into a queryable markdown vault with yt-dlp subtitle discovery, VTT cleanup, metadata frontmatter, and capture-seed stubs.
- risk
- safe
- source
- community
- source_repo
- adelaidasofia/ai-brain-starter
- source_type
- community
- date_added
- 2026-05-09
- license
- MIT
- license_source
- https://github.com/adelaidasofia/ai-brain-starter/blob/main/LICENSE
- upstream
- https://github.com/adelaidasofia/ai-brain-starter/tree/main/skills/ingest-youtube
ingest-youtube — YouTube-to-vault connector
Pulls YouTube transcripts into a markdown vault as queryable typed-memory entries that downstream skills (knowledge graph extraction, voice-fingerprint training, content repurposing, action-item extraction) can act on.
Same pattern as ingest-slack, ingest-whatsapp, ingest-notion, ingest-linear, ingest-github, ingest-gmail. Adding YouTube means a new normalizer, not a new architecture.
When to use
- User pastes a YouTube URL and asks for a transcript or summary
- User says
/ingest-youtube <url>for a single video - User asks to capture, sync, ingest, transcribe, or pull a talk/podcast/keynote into the vault
Do NOT use for:
- Downloading the actual video file (use
yt-dlpdirectly with-f best) - Channel-wide ingestion or
--dayswindows; this script ingests one video URL at a time - Live streams (transcripts are not stable)
- Non-YouTube sources (Vimeo, Twitch, Twitter Spaces have their own connectors)
- One-off transcript reads where the user does not want a vault file (run
yt-dlp --write-auto-subdirectly and pipe to stdout)
How it works
- Parse the input as one YouTube video URL.
- Verify
yt-dlpis installed. If not, the script exits with install instructions:brew install yt-dlp(macOS) orpip3 install --user yt-dlp. - Validate the URL as a single http(s) YouTube video and call
yt-dlp --ignore-config --list-subs -- <url>to enumerate available subtitles. - Subtitle priority: manual subs > auto-generated captions. Manual subs preserve creator-provided punctuation and speaker labels; auto-gen is uppercase + no punctuation.
- Download the highest-priority subtitle as VTT via
yt-dlp --write-sub --sub-lang <lang> --skip-download. Default language preference:en,es(English first, Spanish second). - Strip VTT timing markers and merge into clean prose paragraphs. Deduplicate repeated lines (auto-generated VTTs are line-doubled). Preserve speaker labels if the source had them.
- Pull video metadata (title, channel, upload date, duration, video_id, URL) via
yt-dlp --print-json --skip-download. - Slugify the channel name and video title. Write to
External Inputs/YouTube/<channel-slug>/<YYYY-MM-DD>-<video-slug>.md. - Scan transcript for trigger keywords (decision, framework, model, principle, "the lesson is", playbook, anti-pattern, case study). For each match, create a writing-seed stub at
Meta/Captures/<YYYY-MM-DD>-youtube-<channel-slug>-<video-id>.mdso the seed lands in the captures aggregator. - Print summary: file path, transcript word count, language, seeds detected.
Invocation
python3 ingest.py <youtube-url> [--vault <path>] [--lang <code>]Defaults:
--vault:$VAULT_ROOTenv var or current directory--lang:en,es(English first, Spanish second; matches a common bilingual default)--whisper: accepted as a future fallback flag, but this version writes a stub when no subtitles are available
Show full SKILL.md (272 more words)Show less
Output contract
The vault file at External Inputs/YouTube/<channel-slug>/<YYYY-MM-DD>-<video-slug>.md has frontmatter:
---
type: external-input
source: youtube
video_id: <11-char ID>
url: https://www.youtube.com/watch?v=<id>
channel: <channel-name>
channel_url: https://www.youtube.com/<handle>
title: <video title>
upload_date: <YYYY-MM-DD>
duration_seconds: <int>
language: <ISO code>
subtitle_source: manual | auto | whisper
word_count: <int>
ingested_at: <ISO 8601 timestamp>
---Body is the cleaned transcript as paragraph prose. If the source had speaker labels, format as **<speaker>:** <text> per turn.
Idempotency
Re-ingesting the same video URL overwrites the same vault file. The seed stub filenames hash the video_id, so the same source video produces the same stub filename across re-runs. Re-runs refresh, never duplicate.
Missing subtitles
If yt-dlp --list-subs returns no manual or auto subtitles, the script writes a stub vault note with the video metadata and source URL instead of failing silently. The --whisper flag is reserved for a future local transcription fallback and currently reports that the fallback is not implemented.
For a manual fallback today, download audio with yt-dlp, transcribe it with your local Whisper workflow, and add captions or transcript text before rerunning the ingest.
Limitations
- Ingests one YouTube video URL per run; channel handles, playlists, and
--dayswindows are out of scope. - Depends on subtitles returned by
yt-dlp; videos without subtitles produce a metadata stub, not a transcript. - Does not download video files or perform built-in Whisper transcription in this version.
- Network availability, YouTube subtitle access, and local
yt-dlpbehavior determine whether ingest succeeds.
Acceptance test
Run against the first YouTube video ever uploaded:
python3 ingest.py "https://www.youtube.com/watch?v=jNQXAC9IVRw" --vault /tmp/testExpected output:
Wrote 39 words to /tmp/test/External Inputs/YouTube/jawed/2005-04-24-me-at-the-zoo.md. Language: en. Subtitle source: manual.The output file contains valid frontmatter and a clean prose body.
Dependencies
yt-dlp(required): install viabrew install yt-dlporpip3 install --user yt-dlpwhisper-cpp(optional for a manual fallback outside this script)
Source
Bundled in adelaidasofia/ai-brain-starter, a verification harness around an AI agent so memory compounds instead of corrupts. The skill is part of the ingest-* family of vault connectors.
© sickn33, 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 1 other file in skills/ingest-youtube of sickn33/agentic-awesome-skills.
- SKILL.md
- ingest.py
Open the folder on GitHubat commit b84d35a
Used in 1 other repository
We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Ingest Youtube 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 |
|---|---|---|---|---|---|---|
| Ingest Youtube this skillsickn33/agentic-awesome-skills | 47k | 1 repos | ~1.6k | Automated safety check: Pass | MIT | |
| Native Subtitle Quote Imagechengyi-ai/native-subtitle-quote-image | 2.6k | — | ~2.4k | Automated safety check: Pass | MIT | |
| Video Dataoxylabs/agent-skills | 875 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Summarizetrpc-group/trpc-agent-go | 1.9k | 22 repos | ~552 | Automated safety check: Pass | Apache-2.0 | |
| Youtube PublishAndonywang123/Epost | 197 | — | ~3.4k | Automated safety check: Warn | None | |
| Youtube Transcribe Skillfeiskyer/codex-settings | 244 | — | ~745 | Automated safety check: Pass | MIT |
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Video Data
oxylabs/agent-skills
YouTube data extraction API and high-bandwidth proxy downloads.
Summarize
trpc-group/trpc-agent-go
Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).
Youtube Publish
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feiskyer/codex-settings
Extract subtitles or a transcript from a YouTube URL and save normalized timestamped text locally.
Watching Videos
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The user shared a video URL, a YouTube/TikTok/stream link, a local video file, a screen recording, a meeting recording, or a playlist/folder of videos — "watch this", "summarize this video", "what's…
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Questions about Ingest Youtube
What does Ingest Youtube do?
Pull a YouTube video transcript into a queryable markdown vault with yt-dlp subtitle discovery, VTT cleanup, metadata frontmatter, and capture-seed stubs. Ingest Youtube is an agent skill from sickn33/agentic-awesome-skills. Pull a YouTube video transcript into a queryable markdown vault with yt-dlp subtitle discovery, VTT cleanup, metadata frontmatter, and capture-seed stubs.
When should I use Ingest Youtube?
Ingest Youtube fits situations like: tasks that involve Transcription.
How do I install Ingest Youtube in Claude Code?
Run `npx skills add sickn33/agentic-awesome-skills --skill ingest-youtube -a claude-code`. Or copy the skill folder (skills/ingest-youtube in sickn33/agentic-awesome-skills) into .claude/skills/ingest-youtube in your project. Claude Code loads it when a task matches its description.
How do I install Ingest Youtube in Codex?
Run `npx skills add sickn33/agentic-awesome-skills --skill ingest-youtube -a codex`. Or copy the skill folder (skills/ingest-youtube in sickn33/agentic-awesome-skills) into .agents/skills/ingest-youtube in your project. Codex loads it when a task matches its description.
Can I use Ingest Youtube 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 sickn33/agentic-awesome-skills --skill ingest-youtube -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ingest-youtube, .gemini/skills/ingest-youtube, .github/skills/ingest-youtube and .opencode/skills/ingest-youtube in your project.
What does Ingest Youtube need to run?
Going by SKILL.md and its folder, Ingest Youtube needs Python for the scripts in its folder and the command-line tools its instructions call (yt-dlp, python3, brew and pip3). Our summary lists: Python 3.
Does Ingest Youtube access the network?
SKILL.md names 2 domains. In commands or code: youtube.com; the agent is likely to contact it when it follows the instructions. As links in the text: github.com. This is read from the text; nothing was executed.
Is Ingest Youtube 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. Review the folder before installing.
What licence does Ingest Youtube use?
Ingest Youtube is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Ingest Youtube use?
About 1.6k tokens (SKILL.md is roughly 6.3k 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 Ingest Youtube?
Skills that share tags, products or a category with Ingest Youtube: Native Subtitle Quote Image (chengyi-ai/native-subtitle-quote-image, 2.6k stars), Video Data (oxylabs/agent-skills, 875 stars), Summarize (trpc-group/trpc-agent-go, 1.9k stars) and Youtube Publish (Andonywang123/Epost, 197 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Ingest Youtube?
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,405 GitHub stars. The repository holds 1,497 skills in this directory. The repository was last updated on October 9, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.