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cercano-summarize

Summarize text or files locally via Cercano and Ollama.

Updated Mar 20, 2026
Search Tags:#documents#logs#offline#privacy#text#summarize#local-ai
One-click install
npx skills add https://github.com/GoogleDevRelExplorations/cercano --skill cercano-summarize-googledevrelexplorations
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cercano-summarize
Source: https://github.com/GoogleDevRelExplorations/cercano/tree/main/.agents/skills/cercano-summarize
Command: npx skills add https://github.com/GoogleDevRelExplorations/cercano --skill cercano-summarize-googledevrelexplorations

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Summarize lengthy text and documents locally, reducing cloud data exposure and speeding up information processing.

Core Features & Use Cases

  • Local AI summarization: Condense text or files without sending content to external servers.
  • Flexible lengths: brief, medium, or detailed summaries to fit your workflow.
  • Offline readiness: Requires Cercano server and Ollama for in-node processing.
  • Use cases include triaging logs, condensing documents, and extracting key points for briefs.

Quick Start

Provide either text or a file_path to summarize, and optionally set max_length to control the summary length.

Frequently Asked Questions about cercano-summarize

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I summarize documents locally without sending data to the cloud?▼

Local summarization condenses documents and text offline using AI inference without exposing data to external servers. This requires a Cercano server connected to an Ollama instance for private, in-node processing.

Can I control the length of text summaries for log triaging?▼

Yes, text summaries can be controlled using an optional max_length parameter. You can generate brief, medium, or detailed summaries to fit your workflow when triaging logs or condensing notes.

What do I need to run offline AI summarization for private notes?▼

Offline AI summarization requires a Cercano server connected to an Ollama instance. This setup ensures private, in-node processing so your notes and documents remain completely offline.

Does local AI summarization work with file paths or only direct text input?▼

Local AI summarization works with both direct text input and file paths. You can provide either format to the Cercano server to generate summaries from your documents or logs.

What is the best way to condense lengthy text files without cloud data exposure?▼

Using local AI inference is the best way to condense lengthy text files without cloud data exposure. It processes documents offline via a Cercano server and Ollama, keeping all data private.

When should I not use local AI for text summarization?▼

You should not use local AI summarization if you lack a Cercano server and Ollama instance, as these are required for offline in-node processing. It is also less suited if you need real-time cloud-based collaboration.

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