summarize
openclaw/openclaw · Agent Skill
Summarizes or transcribes content from URLs, videos, podcasts, articles, PDFs, and local files.
Jump to install ↓Overview
| Publisher | |
|---|---|
| Repository | openclaw/openclaw ↗ |
| Skill folder | summarize |
| Stars | 390,314 |
| Forks | 82,108 |
| Bundled files | 1 |
| License | MIT |
| Last updated | September 23, 2026 |
| Links | Skill source ↗ · Repository ↗ |
Mozgi check
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Installation
A skill is a folder with a SKILL.md file. Pick your agent and run the commands in a terminal (macOS, Linux or Git Bash on Windows) from your project root.
Copy the prompt into Claude, Codex or another assistant: it will review the skill and install it for you.
Install the “summarize” skill from mozgi.io (https://mozgi.io/skills/summarize/) for me. 1. Download the archive: https://mozgi.io/skills/summarize/download If it fails, take the skill folder from the source: https://github.com/openclaw/openclaw/tree/main/skills/summarize 2. Read SKILL.md and the other files. Check the skill is safe: no hidden commands, no sending data elsewhere, no scripts doing something other than described. If anything looks suspicious, stop and tell me. 3. Put the “summarize” folder into your agent's skills folder: .claude/skills/ for Claude Code, .agents/skills/ for Codex, .cursor/skills/ for Cursor, .gemini/skills/ for Gemini CLI. Inside the project if we are in one, otherwise in the home folder (~/.claude/skills/ etc.). 4. Make sure <skills folder>/summarize/SKILL.md exists. 5. Briefly tell me what this skill does and offer to try it on my task. If you cannot do a step yourself, tell me what to click or type.
git clone --depth 1 --branch main https://github.com/openclaw/openclaw.git /tmp/openclaw mkdir -p .claude/skills cp -r /tmp/openclaw/skills/summarize .claude/skills/summarize
Restart Claude Code — the skill appears in the list; call it manually with /summarize. For all projects use ~/.claude/skills.
git clone --depth 1 --branch main https://github.com/openclaw/openclaw.git /tmp/openclaw mkdir -p .agents/skills cp -r /tmp/openclaw/skills/summarize .agents/skills/summarize
Codex looks for skills in .agents/skills from the current folder up to the repo root; call one with /skills or $summarize. For all projects use ~/.agents/skills.
git clone --depth 1 --branch main https://github.com/openclaw/openclaw.git /tmp/openclaw mkdir -p .cursor/skills cp -r /tmp/openclaw/skills/summarize .cursor/skills/summarize
Cursor picks the skill up on start; call it with “/” in Agent chat. Cursor also reads .claude/skills and .agents/skills. For all projects use ~/.cursor/skills.
git clone --depth 1 --branch main https://github.com/openclaw/openclaw.git /tmp/openclaw mkdir -p .gemini/skills cp -r /tmp/openclaw/skills/summarize .gemini/skills/summarize
Gemini CLI offers to activate the skill when a task matches — you approve it. For all projects use ~/.gemini/skills.
Read SKILL.md and any companion files before deciding whether to install. Click a file to preview it.
SKILL.md contents
Original author text · read-onlySummarize
Fast CLI to summarize URLs, local files, and YouTube links.
When to use (trigger phrases)
Use this skill immediately when the user asks any of:
- "use summarize.sh"
- "what's this link/video about?"
- "summarize this URL/article"
- "transcribe this YouTube/video" (best-effort transcript extraction; no
yt-dlpneeded)
Quick start
summarize "https://example.com"
summarize "/path/to/file.pdf"
summarize "https://youtu.be/dQw4w9WgXcQ" --youtube auto
YouTube: summary vs transcript
Best-effort transcript (URLs only):
summarize "https://youtu.be/dQw4w9WgXcQ" --youtube auto --extract
If the user asked for a transcript but it's huge, return a tight summary first, then ask which section/time range to expand.
Model + keys
Set the API key for your chosen provider:
- OpenAI:
OPENAI_API_KEY - Anthropic:
ANTHROPIC_API_KEY - xAI:
XAI_API_KEY - Google:
GEMINI_API_KEY(aliases:GOOGLE_GENERATIVE_AI_API_KEY,GOOGLE_API_KEY)
Default model is auto; config may choose the provider/model.
Useful flags
--length short|medium|long|xl|xxl|<chars>--max-output-tokens <count>--extract(print extracted content, no LLM summary)--json(machine readable)--firecrawl auto|off|always(fallback extraction)--youtube auto(Apify fallback ifAPIFY_API_TOKENset)
Config
Optional config file: ~/.summarize/config.json
{ "model": "openai/gpt-5.2" }
Optional services:
FIRECRAWL_API_KEYfor blocked sitesAPIFY_API_TOKENfor YouTube fallback
Frequently asked questions
What does the summarize skill do?
Summarizes or transcribes content from URLs, videos, podcasts, articles, PDFs, and local files.
How do I install summarize?
Open the “Installation” block on this page and pick your agent — Claude Code, Codex, Cursor or Gemini CLI — for ready-made commands that copy the skill folder to the right place. Or copy the prompt from the “Via assistant” tab and let the assistant review and install the skill.
Which AI models work with summarize?
Skills are plain Markdown instructions (the Agent Skills format), so summarize works with any agent that reads SKILL.md: Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and more. The model loads the instructions only when a task matches the skill's description.
Is summarize free?
The skill is published openly by openclaw under the MIT license. The skill itself costs nothing — you only pay your AI provider for the tokens you use.
Is it safe to install skills?
A skill is a set of instructions your agent will follow, so read SKILL.md and its companion files before installing. Scripts in the skill folder only run if your agent runs them — keep an eye on what it does and do not grant unnecessary permissions.
How is a skill different from an MCP server or a plugin?
An MCP server or plugin gives the model new tools — code that runs and returns a result. A skill gives it knowledge and process: how to approach a task, which steps to follow and what good output looks like. It needs no server or API key.