Summarize
Skill8 starsChanged 7 months agoApache-2.0View on GitHub
Summarize text or local UTF-8 files via OpenAI-compatible chat completions.
- Reads credentials
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 9 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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Also in 7 projects that use this
clawdbotSkillplugin-sdk-impact
Count Plugin SDK consumers across live ClawHub releases and bundled OpenClaw plugins before deprecation, removal, or behavior changes; supports public release-date filters.
Also in 7 projects that use this
AtomicBot-aiSkilltaskflow-inbox-triage
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hkyutongSkillnode-connect
Diagnose OpenClaw node connection and pairing failures for Android, iOS, and macOS companion apps. Use when QR/setup code/manual connect fails, local Wi-Fi works but VPS/tailnet does not, or errors mention pairing required, unauthorized, bootstrap token invalid or expired, gateway.bind, gateway.remote.url, Tailscale, or plugins.entries.device-pair.config.publicUrl.
Also in 18 projects that use this
molt-botSkilldiscord-e2e
Test Discord with Convex-leased QA bots: check credentials without a Gateway, exercise owned messages, or prove OpenClaw replies, files, threads, reactions, streaming, and typing. Distinguish API and Gateway evidence from manual user interactions.
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.
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The file
We split this skill into the rules it gives an agent
6 rules. 0 are common, 2 are distinctive, and 4 are very specific to this project.
0
Common
Most of the 81 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 12
Use this skill when the user asks for concise summaries of long text or local documents.
- Distinctive: line 33
No arguments. Returns endpoint, model, key presence, size limits.
- Very specific: line 50
Default to length: "medium".
- Distinctive: line 52
If the text is over 60k chars, chunk it before calling: split into ≤ 50k blocks, summarize each, then summarize the summaries.
- Very specific: line 53
If error code is -32011 (unauthorized) → SUMMARIZE_OPENAI_API_KEY missing or invalid.
- Very specific: line 54
If error code is -32007 (empty completion) → provider returned blank content.
“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
Use this skill when the user asks for concise summaries of long text or local
documents. Backed by the summarize extension which calls any
OpenAI-compatible chat completions endpoint.
Use when
- "Summarize this text"
- "Give me a short summary of this file"
- "Extract key points from this note"
- Long input that would otherwise blow the context window
Do not use when
- User asks for full verbatim rewrite
- User asks for strict legal or medical advice
- Input is binary media (audio/video) without transcript first
- Input fits comfortably in the conversation already (just summarize directly without the tool)
Tools
status
No arguments. Returns endpoint, model, key presence, size limits.
summarize_text
text(string, required, ≤ 60 000 chars)length(string, optional) —short(1–2 sentences) |medium(paragraph, default) |long(6–10 sentences)language(string, optional) — output language hint, e.g.Spanish
Returns {length, language, input_chars, summary}.
summarize_file
path(string, required) — UTF-8 file, max 1 MBlength,language(optional, same)
Returns {path, bytes, length, language, input_chars, summary}.
Execution guidance
- Default to
length: "medium". Bump toshortif the user wants a one-liner;longif they ask for an exec summary or report. - Pass
languageonly if it differs from the conversation language. - If the text is over 60k chars, chunk it before calling: split into ≤ 50k blocks, summarize each, then summarize the summaries.
- If error code is
-32011(unauthorized) →SUMMARIZE_OPENAI_API_KEYmissing or invalid; ask the operator. - If error code is
-32007(empty completion) → provider returned blank content; retry once or report. - For binary files (PDF, DOCX) extract text first via another tool; this extension does not parse them.
Does it work?
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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.

