cercano-extract

Extract targeted information from large text via local Cercano and Ollama inference.

8|1|Updated Nov 23, 2025
One-click install
npx skills add https://github.com/bryancostanich/Cercano --skill cercano-extract
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cercano-extract
Source: https://github.com/bryancostanich/Cercano/tree/main/plugins/skills/cercano-extract
Command: npx skills add https://github.com/bryancostanich/Cercano --skill cercano-extract

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

When working with large text sources, extracting precise details (like error messages, function signatures, or config values) can create cloud-context bloat; this skill performs targeted extraction locally without sending your data off-device.

Core Features & Use Cases

  • Targeted extraction: pull specific items (errors, signatures, endpoints) from logs, code, or docs.
  • Offline privacy: operates entirely with local Cercano/Ollama deployment to protect sensitive data.
  • Use Case: quickly isolate the function signature of a code snippet or extract the first API endpoint from a long docs page.

Quick Start

Provide the text and a query to cercano_extract to return the targeted results locally.

Frequently Asked Questions about cercano-extract

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

FAQPage Schema
How do I extract specific error messages from large log files locally?

You can extract error messages locally by providing the text and a query to the cercano_extract tool. It uses local AI inference to pull targeted results from logs without sending data off-device.

What is local AI inference for text extraction and how does it protect privacy?

Local AI inference for text extraction processes data entirely on-device using a Cercano server connected to an Ollama instance, ensuring sensitive information from logs or code never leaves your local setup.

Can I use Cercano and Ollama to pull function signatures from long code snippets?

Yes, you can use Cercano with Ollama to pull function signatures from long code snippets. Apply the cercano_extract tool with the text and your specific query to isolate signatures locally.

Do I need a running Cercano server to extract API endpoints from documentation?

Yes, extracting API endpoints from documentation requires a running Cercano server connected to an Ollama instance to facilitate the local AI inference process.

What are the limitations of using local inference for targeted text extraction?

The primary limitation is environmental; local inference for targeted text extraction strictly requires a Cercano-enabled environment connected to an Ollama instance to function properly.