summarize
Skill8 starsChanged 5 months agoMITView on GitHub
Creates a summary that adapts to the source, such as an article, email thread, chat, PDF, document, image, or transcript, while surfacing the key points, decisions, and takeaways. Use when the user says "summarize", "TLDR", "key points", "recap", "overview", or "condense this".
93 other projects use a version of this.
Adopted by
Most recently taken up by
- CloudChef/atlasclaw-providerstheir own version, first seen Nov 8, 2026
- domengabrovsek/agent-configtheir own version, first seen Nov 8, 2026
- domengabrovsek/claudetheir own version, first seen Nov 8, 2026
- sergeiwallace/skillstheir own version, first seen Nov 8, 2026
- mahsumaktas/agent-evolution-kittheir own version, first seen Nov 8, 2026
- insight68/Skillstheir own version, first seen Nov 8, 2026
Used with
Projects with it also use openclaw-performance, plugin-sdk-impact and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
clawdbotSkillopenclaw-performance
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clawdbotSkillplugin-sdk-impact
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hkyutongSkillnode-connect
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Also in 18 projects that use this
molt-botSkilldiscord-e2e
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Also in 10 projects that use this
molt-botSkillopenclaw-repair-sweep
Run scoped OpenClaw issue/PR repair campaigns: coordinate workers, prove root causes, and land or close verified work under the requested authority.
Also in 10 projects that use this
- +2 more from molt-bot
Other versions93 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 93
- moltbot/clawdbot★ 394ksame name
- steipete/warelay★ 394ksame name
- steipete/clawdis★ 394ksame name
- moltbot/moltbot★ 394ksame name
- clawdbot/clawdbot★ 394ksame name
- openclaw/openclaw★ 394ksame name
- molt-bot/clawdbot★ 391ksame name
- spinabot/brigade★ 11ksame name
- steipete/summarize★ 6.8ksame name
- the-open-agent/openagent★ 5.7ksame name
83 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository46 other files it gives its agents.
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The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 81 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 33
If the source doesn't match a listed pattern, infer the closest shape.
“Common” is measured: kept by at least 6 in 10 of the 81 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Summarize
Produce a summary that fits the source. There is no single template: first pick the source, then detect what kind of content it is and shape the summary to match.
1. Choose the source
Priority order: selected text, then an attached file, PDF, or image, then the visible page content. Summarize only what is actually present. Never invent details, quotes, numbers, names, dates, or outcomes that are not in the source. If the context is incomplete or truncated, summarize what is available and note the gap.
2. Adapt to the content type
| Content type | Capture | Shape the output as |
| Article / blog / web page | Thesis, main arguments, supporting evidence, conclusion | One-line TL;DR + three to six bullets |
| Documentation / reference | What it's for, key steps or APIs, caveats | Short bullets grouped by topic |
| Email thread | Participants, the ask, decisions, open questions, action items + owners | "Bottom line" line, then Decisions / Open questions / Action items |
| Chat / messaging conversation | Who's talking, the topic, what was agreed, next steps | Topic-grouped bullets; keep the resolution explicit |
| PDF / long document / report | Purpose, section findings, recommendations | Headed sections or nested bullets |
| Spreadsheet / data / table | What it measures, notable totals, outliers, trends | Bullets, keeping key figures exact |
| Image / screenshot / chart | What it depicts, labels, the takeaway it conveys | One to three sentences; describe only what is visible |
| Transcript (video / call / podcast) | Topic, key points per speaker or segment, conclusions, action items | Bullets, optionally timestamped |
| Code / PR / diff | What it does, notable changes, risks | Bullets by change |
If the source doesn't match a listed pattern, infer the closest shape. Lead with the takeaway, then the supporting points.
3. Length and format
Scale to the source: a few sentences for something short, a tight bulleted brief for something long. Lead with the single most important takeaway. Prefer bullets for scannability; reserve flowing prose for very short sources. Preserve exact figures, dates, names, and decisions verbatim. It's a summary, not a rewrite. Stay concise.
Example
Source: a long launch-planning email thread (selected text).
Bottom line: Team agreed to ship the v2 dashboard on July 9, gated on the billing fix landing first.
Decisions
- Launch moved from July 2 to July 9 (Maria)
- Marketing holds the blog post until QA signs off
Open questions
- Who owns the migration runbook? (raised by Sam, unanswered)
Action items
- Land billing fix by July 7: Alex
- Full regression pass: Priya
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

