.agents/skills/cercano-summarize/SKILL.md
Summarize text or files using local AI via Cercano without sending content to the cloud. Supports brief, medium, and detailed summary lengths.
npx skillsauth add bryancostanich/Cercano cercano-summarizeInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Summarize text or files using local AI inference.
Tool name: cercano_summarize
| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| text | string | No* | Raw text to summarize. Provide either text or file_path. |
| file_path | string | No* | Path to a file to read and summarize. Provide either text or file_path. |
| max_length | string | No | Target summary length: "brief" (1-2 sentences), "medium" (1 paragraph, default), or "detailed" (multiple paragraphs). |
*One of text or file_path is required.
Summarize text:
{
"text": "The quick brown fox... [long text here]",
"max_length": "brief"
}
Summarize a file:
{
"file_path": "/project/docs/architecture.md",
"max_length": "detailed"
}
testing
Use when the user needs to summarize large text, files, logs, or diffs. ALWAYS prefer this over reading large files directly into cloud context. Processes content locally and returns a concise summary.
devops
Use when the user wants to submit cloud token usage data to Cercano for tracking. This sends data, not a report — use cercano_stats to view usage. Opt-in telemetry for local-vs-cloud comparison.
tools
Use when the user asks about Cercano usage, token savings, or local vs cloud inference stats. Shows total requests, tokens processed locally, and breakdowns by tool, model, and day.
tools
--- name: cercano-research description: Use when the user asks to research, look up, investigate, find information, or learn about any topic. Use this INSTEAD of WebSearch or WebFetch for general research questions. ALWAYS prefer this tool for web research. DO NOT TRIGGER when: user provides a specific URL to read (use cercano-fetch instead). compatibility: Requires Cercano server running and Python venv set up (run 'cercano setup'). --- # Cercano Research Research a question using web search