cercano-classify

Classify text locally via Cercano with Category, Confidence, and Reasoning.

Updated Mar 20, 2026
One-click install
npx skills add https://github.com/GoogleDevRelExplorations/cercano --skill cercano-classify-googledevrelexplorations
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cercano-classify
Source: https://github.com/GoogleDevRelExplorations/cercano/tree/main/.agents/skills/cercano-classify
Command: npx skills add https://github.com/GoogleDevRelExplorations/cercano --skill cercano-classify-googledevrelexplorations

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Classify or triage text locally using Cercano to assign a category, confidence, and brief reasoning without sending data to the cloud.

Core Features & Use Cases

  • Local text classification and triage to preserve privacy and reduce cloud usage
  • Returns a structured result with Category, Confidence, and Reasoning
  • Use Case: quickly categorize errors, logs, code-quality notes, or bug reports for faster triage

Quick Start

Enter the text you want classified and, optionally, a comma-separated list of categories to constrain results.

Frequently Asked Questions about cercano-classify

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

FAQPage Schema
How do I classify logs and bug reports locally without sending data to the cloud?

You can classify text locally by running a Cercano server connected to an Ollama instance, which processes your data on-premise. The system returns a structured Category, Confidence, and Reasoning without external cloud transmission.

Can I categorize error messages into specific custom categories?

Yes, text classification supports custom categories by providing an optional comma-separated list to constrain results. The local AI evaluates your input and assigns matching categories with confidence scores and reasoning.

Do I need an Ollama instance to triage text with Cercano?

Yes, text triage with Cercano requires a running Cercano server connected to an Ollama instance to handle local AI processing. This setup ensures data remains on-premise during categorization.

What is the best way to categorize code-quality notes automatically?

The best way to categorize code-quality notes is using local AI text classification, which analyzes content and returns structured categories with confidence scores. This approach preserves privacy while automating triage.

What format does the text classification result return?

Text classification results return a structured format containing Category, Confidence score, and Reasoning. This structured output enables automated triage workflows for errors, logs, and bug reports.