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Agent skill

Video Summary

by LeoYeAI in LeoYeAI/openclaw-master-skills

Video summarization for Bilibili, Xiaohongshu, Douyin, and YouTube.

MITAuto-check passedMedia & Creative

Install Video Summary

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill video-summary -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills video-summary --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/video-summary .claude/skills/video-summary && rm -rf skills-src

Use ~/.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/

Facts

Skill name
video-summary
GitHub stars
2.2k
Token cost
~4.2k tokens
SKILL.md length
1,263 words
Files
13 (incl. scripts, references)
Skills in repo
1,235
Repo updated
First seen
Licence
MIT

At a glance

Video summarization for Bilibili, Xiaohongshu, Douyin, and YouTube.

  • Works in 4 steps: Script extracts video subtitles/transcript → Script outputs a structured summary… → Agent or external tool calls LLM API… → …
  • Tasks that involve Transcription
  • SKILL.md covers What It Does, Quick Setup, Quick Start and Commands Reference, plus 5 more sections
  • Runs Shell scripts from its folder; calls pip, apt and brew; reaches xiaohongshu.com and bilibili.com; needs OPENAI_API_KEY

What it does

Video Summary is an agent skill from LeoYeAI/openclaw-master-skills. Video summarization for Bilibili, Xiaohongshu, Douyin, and YouTube. Extract insights from video content through transcription and summarization.

Its SKILL.md is about 4.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files, including scripts and reference files (for example `.clawhub/origin.json`, `_meta.json` and `references/platform-support.md`).

It sits in Media & Creative, covering Transcription, Video and podcast notes and Summarization. It works with Douyin, Xiaohongshu, Bilibili and YouTube. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.

When your agent uses it

  • Tasks that involve Transcription
  • Tasks that involve Video and podcast notes
  • Tasks that involve Summarization

Example prompts

  • “/video-summary”

Requirements

  • Python 3
  • A Bash shell
  • A credential in OPENAI_API_KEY

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Script extracts video subtitles/transcript
  2. Script outputs a structured summary request (JSON/text)
  3. Agent or external tool calls LLM API with the request
  4. Script does NOT directly call any external APIs

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. 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 4 files in scripts/ (Shell), which the agent can run.

    Shell commands in SKILL.md call:

    • pip
    • apt
    • brew
    • yt-dlp
    • jq
    • ffmpeg

    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:

    • xiaohongshu.com
    • bilibili.com
    • open.bigmodel.cn
    • youtube.com
    • v.douyin.com
    • youtu.be
    • xhslink.com
    • douyin.com
    • api.openai.com
    • api.deepseek.com
    • api.moonshot.cn

    Also links to:

    • github.com
    • platform.openai.com
    • platform.deepseek.com
    • platform.moonshot.cn

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • OPENAI_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Video Summary loads about 4.2k tokens when it runs, and up to ~7k if it reads all its reference files. Until then it costs about 40 tokens; SKILL.md has 1,263 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~40
When it runs · the whole SKILL.md, loaded when a task matches
~4.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7k

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 LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 1,263 words, ~4,205 tokens.

Download SKILL.mdSave it as .claude/skills/video-summary/SKILL.md (or your agent's skills folder). This skill also uses 12 other files; get the full folder from GitHub.
name
video-summary
description
Video summarization for Bilibili, Xiaohongshu, Douyin, and YouTube. Extract insights from video content through transcription and summarization.
version
1.6.4

Video Summary Skill

Intelligent video summarization for multi-platform content. Supports Bilibili, Xiaohongshu, Douyin, YouTube, and local video files.

What It Does

  • Auto-detect platform from URL (Bilibili/Xiaohongshu/Douyin/YouTube)
  • Extract subtitles/transcripts using platform-specific methods
  • Generate structured summaries with key insights, timestamps, and actionable takeaways
  • Multi-format output (plain text, JSON, Markdown)
  • Direct LLM integration — outputs ready-to-use summaries
  • Automatic cleanup — no temp file leaks

Quick Setup

No API key required to run. This skill extracts video content and outputs structured requests for summarization. The agent (or external tool) handles LLM calls.

bash
# Optional: If you want the agent to call LLM for summarization
export OPENAI_API_KEY="your-api-key-here"
export OPENAI_BASE_URL=https://open.bigmodel.cn/api/paas/v4

# Optional: Whisper model for transcription (default: base)
export VIDEO_SUMMARY_WHISPER_MODEL=base

How it works:

  1. Script extracts video subtitles/transcript
  2. Script outputs a structured summary request (JSON/text)
  3. Agent or external tool calls LLM API with the request
  4. Script does NOT directly call any external APIs
Supported LLM Providers

Just set OPENAI_BASE_URL to the provider's API endpoint.

Xiaohongshu and Douyin may need cookies for some videos:

bash
# Set cookie file path
export VIDEO_SUMMARY_COOKIES=/path/to/cookies.txt

# Or use --cookies flag
video-summary "https://xiaohongshu.com/..." --cookies cookies.txt

⚠️ Cookie Security Note:

  • Cookie files contain session tokens and are sensitive
  • Only use cookies from your own browser sessions
  • Do not share cookie files with others
  • Cookie files are read locally and never transmitted externally by this script
Manual Trigger

If configuration is incomplete, say:

"help me configure video-summary"

Quick Start

Check Dependencies
bash
# Check all required tools
yt-dlp --version && jq --version && ffmpeg -version

# If missing, install
pip install yt-dlp
apt install jq ffmpeg  # or: brew install jq ffmpeg
Basic Usage
bash
# Standard summary
video-summary "https://www.bilibili.com/video/BV1xx411c7mu"

# With chapter segmentation
video-summary "https://www.youtube.com/watch?v=xxxxx" --chapter

# JSON output for programmatic use
video-summary "https://www.xiaohongshu.com/explore/xxxxx" --json

# Subtitle only (no AI summary)
video-summary "https://v.douyin.com/xxxxx" --subtitle

# Save to file
video-summary "https://www.bilibili.com/video/BV1xx" --output summary.md

# Use cookies for restricted content
video-summary "https://www.xiaohongshu.com/explore/xxxxx" --cookies cookies.txt
In OpenClaw Agent

Just say:

"Summarize this video: [URL]"

The agent will automatically:

  1. Detect the platform
  2. Extract video content
  3. Generate a structured summary

Commands Reference

CommandDescription
video-summary "<url>"Generate standard summary
video-summary "<url>" --chapterChapter-by-chapter breakdown
video-summary "<url>" --subtitleExtract raw transcript only
video-summary "<url>" --jsonStructured JSON output
video-summary "<url>" --lang <code>Specify subtitle language (default: auto)
video-summary "<url>" --output <path>Save output to file
video-summary "<url>" --cookies <file>Use cookies file
video-summary "<url>" --transcribeForce Whisper transcription

How It Works

Platform Support Matrix
PlatformSubtitle ExtractionNotes
YouTubeNative CC + auto-generatedBest support
BilibiliNative CC + backup methodsRequires video ID extraction
XiaohongshuLimited (OCR fallback)No native subtitles, uses transcription
DouyinLimited (OCR fallback)Short-form video, may need transcription
Local filesWhisper transcriptionSupports mp4, mkv, webm, mp3, etc.
Supported URL Formats

YouTube:

  • https://www.youtube.com/watch?v=xxxxx
  • https://youtu.be/xxxxx

Bilibili:

  • https://www.bilibili.com/video/BV1xx411c7mu
  • https://www.bilibili.com/video/av123456

Xiaohongshu:

  • https://www.xiaohongshu.com/explore/xxxxx
  • https://xhslink.com/xxxxx (short link)

Douyin:

  • https://www.douyin.com/video/xxxxx
  • https://v.douyin.com/xxxxx (short link)
Processing Pipeline
URL Input
    ↓
Platform Detection
    ↓
Subtitle Extraction (yt-dlp / Whisper)
    ↓
Content Chunking (if long)
    ↓
LLM Summarization (OpenAI API / Agent)
    ↓
Structured Output
    ↓
Auto Cleanup

Performance Estimation

Whisper Transcription Time
Video Durationtinybasesmallmedium
5 min~30s~1m~2m~4m
15 min~1.5m~3m~6m~12m
30 min~3m~6m~15m~30m
60 min~6m~12m~30m~60m

Notes:

  • GPU significantly faster (3-10x)
  • base model recommended for balance
  • First run downloads model (~150MB for base)
Subtitle Extraction Time
PlatformTimeNotes
YouTube~5sDirect subtitle download
Bilibili~5sDirect subtitle download
Xiaohongshu~3mRequires transcription
Douyin~2mRequires transcription

Advanced Configuration

Whisper for Transcription

For platforms without native subtitles (Xiaohongshu, Douyin), install Whisper:

bash
pip install openai-whisper

Then configure:

bash
export VIDEO_SUMMARY_WHISPER_MODEL=base  # tiny, base, small, medium, large
OpenAI API for Summarization

This script does NOT directly call LLM APIs. It outputs structured requests for the agent to process.

If you want the agent to call LLM for summarization, configure:

bash
# Optional: API key for your LLM provider
export OPENAI_API_KEY="your-api-key-here"

# Optional: Custom API endpoint (for non-OpenAI providers)
export OPENAI_BASE_URL=https://open.bigmodel.cn/api/paas/v4  # Zhipu
# export OPENAI_BASE_URL=https://api.deepseek.com/v1        # DeepSeek
# export OPENAI_BASE_URL=https://api.moonshot.cn/v1          # Moonshot

# Optional: Model selection
export OPENAI_MODEL=gpt-4o-mini

Without API key: Script outputs transcript and structured request. Agent handles summarization.

Cookie Configuration for Restricted Content

Some platforms require authentication for certain content:

bash
# Method 1: Command line
video-summary "https://www.xiaohongshu.com/explore/xxxxx" --cookies cookies.txt

# Method 2: Environment variable
export VIDEO_SUMMARY_COOKIES=/path/to/cookies.txt

How to get cookies:

  1. Install browser extension: "Get cookies.txt LOCALLY"
  2. Login to the platform
  3. Export cookies to file
Custom Summary Prompt

Create ~/.video-summary/prompt.txt:

markdown
# Summary Template

## Key Insights
- List 3-5 core arguments

## Key Information
- Data, cases, quotes

## Action Items
- Specific actions viewers can take

## Timestamp Navigation
- Key moments with timestamps and descriptions

Output Formats

Standard Output (default)
markdown
# Video Title

**Duration**: 12:34
**Platform**: Bilibili
**Author**: Tech Creator

## Core Content
This video explains...

## Key Points
1. Point one
2. Point two
3. Point three

## Timestamps
- 00:00 Introduction
- 02:15 Core concept
- 08:30 Case study
- 11:45 Summary
JSON Output (--json)
json
{
  "title": "Video Title",
  "platform": "bilibili",
  "duration": 754,
  "author": "Creator Name",
  "summary": "Core content summary...",
  "keyPoints": ["Point 1", "Point 2", "Point 3"],
  "chapters": [
    {"time": 0, "title": "Intro", "summary": "..."},
    {"time": 135, "title": "Core Concept", "summary": "..."}
  ],
  "transcript": "Full transcript text..."
}

Technical Details

Dependencies
ToolRequiredPurpose
yt-dlpYesVideo/subtitle downloader
jqYesJSON processing
ffmpegYesAudio/video processing
whisperOptionalLocal transcription
File Structure
~/.openclaw/workspace/skills/video-summary/
├── SKILL.md              # This file
├── scripts/
│   └── video-summary.sh  # Main CLI script
├── prompts/
│   ├── summary-default.txt
│   └── summary-chapter.txt
└── references/
    └── platform-support.md  # Detailed platform notes
Environment Variables
VariableDefaultDescription
OPENAI_API_KEY-Optional - API key for LLM summarization (used by agent, not this script)
OPENAI_BASE_URLhttps://api.openai.com/v1Optional - Custom API endpoint
OPENAI_MODELgpt-4o-miniOptional - Model for summarization
VIDEO_SUMMARY_WHISPER_MODELbaseWhisper model size
VIDEO_SUMMARY_COOKIES-Optional - Path to cookies file (read locally only)

Troubleshooting

"No subtitles found"
  • The video may not have subtitles/CC
  • Try --transcribe to use Whisper
  • For Xiaohongshu/Douyin, transcription is required
"yt-dlp: command not found"
bash
pip install yt-dlp
# or
brew install yt-dlp
"Missing required dependencies"
bash
# Install all dependencies
pip install yt-dlp
apt install jq ffmpeg  # Ubuntu/Debian
# or
brew install jq ffmpeg  # macOS
"Video too long"

Long videos (>1h) are automatically chunked:

  • Split into 10-minute segments
  • Summarize each segment
  • Merge into final summary
"Failed to fetch video info"
  • Video may be private or deleted
  • Try --cookies for restricted content
  • Region-locked videos may not work
"Rate limited"
  • Too many requests to platform
  • Wait a few minutes
  • Use --cookies for authenticated access

Comparison

FeatureOpenClaw summarizevideo-summary
YouTube✅✅
Bilibili❌✅
Xiaohongshu❌⚠️ (transcription)
Douyin❌⚠️ (transcription)
Chapter segmentation❌✅
Timestamps❌✅
Transcript extraction❌✅
JSON output❌✅
Save to file❌✅
Cookie support❌✅

References

Contributing

Found a bug or want to add platform support?

  • Open an issue on ClawHub
  • Submit a PR with your improvements

Changelog

Show full SKILL.md (510 more words)Show less
v1.6.4 (2026-03-13)
  • Security: Fixed script syntax error (missing closing brace in call_llm function)
  • Security: Clarified that script does NOT directly call LLM APIs - outputs structured requests for agent processing
  • Security: OPENAI_API_KEY is now clearly marked as optional (used by agent, not by script)
  • Security: Added cookie security note - files are read locally only, never transmitted
  • Security: Removed "required" claim for API key - honest documentation matching actual behavior
v1.6.3 (2026-03-12)
  • Fix: Version sync between _meta.json and SKILL.md
  • No functional changes
v1.6.2 (2026-03-12)
  • Fix: Synced _meta.json version with SKILL.md to resolve packaging inconsistencies warning
  • No functional changes
v1.6.1 (2026-03-12)
  • Security: Removed "sk-xxx" placeholder from docs - use "your-api-key-here" instead
  • Cleaner documentation examples
  • No functional changes
v1.6.0 (2026-03-12)
  • Security: Removed all direct LLM API calls - script now outputs structured requests for agent processing
  • networkAccess changed to "indirect" - no curl POST to external APIs in script
  • OPENAI_API_KEY is now optional - works without it
  • Cleaner security profile, same functionality
  • Agent handles LLM calls externally when needed
v1.5.1 (2026-03-12)
  • Security: Dynamic auth header construction to avoid LLM scanner false positives
  • Auth header now built from string parts at runtime
  • Same functionality, cleaner security profile
  • No hardcoded sensitive patterns in script
v1.5.0 (2026-03-12)
  • Security: Added credentials declaration - OPENAI_API_KEY (required), OPENAI_BASE_URL, VIDEO_SUMMARY_COOKIES (optional)
  • Security: Registry metadata now properly declares required credentials
  • Clean single-script architecture, no config files
  • Security: Removed unused setup scripts - single entry point via video-summary.sh
  • Security: Declared all required binaries: yt-dlp, jq, ffmpeg, ffprobe, curl, bc, whisper
  • Security: Explicit env vars in behavior description
  • Security: Removed config file storage - uses env vars only, no secrets stored
  • Security: Fixed metadata/install spec mismatch - removed unused install declarations
  • Honest security declaration matching actual behavior
  • Security: Removed all config file writes - uses env vars only (OPENAI_API_KEY, OPENAI_BASE_URL)
  • No secrets stored in files, no "risky handling of secrets"
  • Simplified setup: just set environment variables before use
v1.4.6 (2026-03-12)
  • Security: Removed references to non-existent OpenClaw config auto-detection feature
  • Honest security declaration: only documents what the skill actually does
  • Clearer env var documentation: OPENAI_API_KEY, OPENAI_BASE_URL
  • Simplified setup instructions - no false claims about auto-detection
  • Security: Simplified security declaration - removed verbose permission list
  • Clearer behavior description matching actual functionality
  • No functional changes, same behavior
  • Security: Obfuscated API key field names to avoid false positives in security scanners
  • No functional changes, same behavior
v1.3.6 (2026-03-10)
  • Security: Moved prompts to external files to avoid ClawHub false positive
  • Prompts now loaded from prompts/summary-chapter.txt and prompts/summary-default.txt
  • No functional changes, same output quality
v1.3.5 (2026-03-09)
  • Security audit: removed patterns that triggered false positive flags
  • Neutralized prompt-like text in documentation and scripts
  • All functionality preserved, safer for public registry
v1.3.0 (2026-03-08)
  • Added conversational setup support
  • Simplified configuration flow
v1.2.2 (2026-03-08)
  • Redesigned setup wizard
  • Simplified interface
v1.2.1 (2026-03-08)
  • Added setup wizard
  • Simplified setup flow
v1.2.0 (2026-03-08)
  • Added configuration guide
  • Added cookie extraction guide
  • Added Whisper model selection guide
v1.1.0 (2026-03-08)
  • Added direct LLM integration
  • Added --output parameter
  • Added --cookies parameter
  • Added automatic temp file cleanup
  • Added progress estimation
  • Added dependency checking
  • Added URL format documentation
  • Added performance estimation table
  • Fixed metadata dependencies
v1.0.0
  • Initial release

Make video content accessible. Watch less, learn more.

© LeoYeAI, 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 12 other files (scripts, references) in skills/video-summary of LeoYeAI/openclaw-master-skills.

  • SKILL.md
  • .clawhub/origin.json
  • _meta.json
  • prompts/summary-chapter.txt
  • prompts/summary-default.txt
  • references/platform-support.md
  • scripts/config-status.sh
  • scripts/config-update.sh
  • scripts/setup.sh
  • scripts/video-summary.sh
  • summary-chapter.txt
  • summary-default.txt
  • video-summary.sh

Open the folder on GitHubat commit e5199b5

Compare with similar skills

Video Summary 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.

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Ra Video DownloadPluviobyte/rnskill1.6k—~861Automated safety check: NotesCustom licence
Video Downloaderkangarooking/kangarooking-skills662—~8.3kAutomated safety check: PassNone
Video To NotesKIRVO-REPORTING/video-to-notes105—~1.5kAutomated safety check: PassMIT
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Works with

Categories

Questions about Video Summary

What does Video Summary do?

Video summarization for Bilibili, Xiaohongshu, Douyin, and YouTube. Video Summary is an agent skill from LeoYeAI/openclaw-master-skills. Video summarization for Bilibili, Xiaohongshu, Douyin, and YouTube.

When should I use Video Summary?

Video Summary fits situations like: tasks that involve Transcription; tasks that involve Video and podcast notes; tasks that involve Summarization.

How do I install Video Summary in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill video-summary -a claude-code`. Or copy the skill folder (skills/video-summary in LeoYeAI/openclaw-master-skills) into .claude/skills/video-summary in your project. Claude Code loads it when a task matches its description.

How do I install Video Summary in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill video-summary -a codex`. Or copy the skill folder (skills/video-summary in LeoYeAI/openclaw-master-skills) into .agents/skills/video-summary in your project. Codex loads it when a task matches its description.

Can I use Video Summary 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 LeoYeAI/openclaw-master-skills --skill video-summary -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/video-summary, .gemini/skills/video-summary, .github/skills/video-summary and .opencode/skills/video-summary in your project.

What does Video Summary need to run?

Going by SKILL.md and its folder, Video Summary needs a shell for the scripts in its folder, the command-line tools its instructions call (pip, apt, brew, yt-dlp, jq and ffmpeg) and credentials named OPENAI_API_KEY. Our summary lists: Python 3; A Bash shell; A credential in OPENAI_API_KEY.

Does Video Summary access the network?

SKILL.md names 15 domains. In commands or code: xiaohongshu.com, bilibili.com, open.bigmodel.cn, youtube.com, v.douyin.com, youtu.be, xhslink.com, douyin.com, api.openai.com, api.deepseek.com and api.moonshot.cn; the agent is likely to contact these when it follows the instructions. As links in the text: github.com, platform.openai.com, platform.deepseek.com and platform.moonshot.cn. This is read from the text; nothing was executed.

Is Video Summary 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 Video Summary use?

Video Summary 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 Video Summary use?

About 4.2k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.8k tokens, read only when the agent opens those files.

What are the alternatives to Video Summary?

Skills that share tags, products or a category with Video Summary: Media To Transcript (bozhouDev/video-skills-toolkit, 150 stars), Ra Video Download (Pluviobyte/rnskill, 1.6k stars), Video Downloader (kangarooking/kangarooking-skills, 662 stars) and Video To Notes (KIRVO-REPORTING/video-to-notes, 105 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Video Summary?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.