cercano-classify

Classify text into categories with local AI inference and confidence scores.

8|1|Updated Nov 23, 2025

Search Tags:#logs #code-quality #triage #errors #classify #text-analysis #local-inference

Ready to run

npx skills add https://github.com/bryancostanich/Cercano --skill cercano-classify

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: cercano-classify
Source: https://github.com/bryancostanich/Cercano/tree/main/plugins/skills/cercano-classify
Command: npx skills add https://github.com/bryancostanich/Cercano --skill cercano-classify

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Categorize and triage text locally without cloud dependencies, enabling quick decisions on errors, logs, and code-quality issues.

Core Features & Use Cases

Local inference: classify text without sending data to cloud services.
Flexible input: accepts raw text and optional predefined categories for targeted results.
Use Case: triage a stack trace by assigning a category and confidence to speed up debugging.

Quick Start

Use the cercano_classify tool to classify the provided text and return a category, confidence, and reasoning.

Frequently Asked Questions about cercano-classify

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

FAQPage Schema

How do I classify and triage errors or logs locally without cloud dependencies?▼

To classify and triage errors or logs locally, you can use local AI inference to parse input text and optional predefined categories, returning a structured result with category, confidence, and reasoning without sending data to cloud services.

What is local text classification for code quality assessment?▼

Local text classification for code quality assessment is the process of categorizing code or logs using on-device AI inference, enabling quick decisions on errors and code-quality issues while keeping data private.

Do I need an Ollama instance to triage stack traces locally?▼

Yes, you need an Ollama instance and the cercana server to triage stack traces locally. The Skill parses your input text and optional categories to return a category, confidence score, and reasoning.

Can I use predefined categories to triage logs, or does it only support open-ended classification?▼

You can use predefined categories to triage logs or opt for open-ended classification. The Skill parses raw input text alongside your optional categories to return a structured result with confidence and reasoning.

What's the best way to automate code quality triage without exposing data to cloud services?▼

The best way to automate code quality triage without cloud exposure is using local AI inference to parse text and assign categories. This returns structured results with confidence scores and reasoning for quick debugging decisions.

Why does local text classification require a separate server setup?▼

Local text classification requires a separate server setup because it relies on a cercana server and an Ollama instance to run local AI inference. This ensures data privacy by processing input text entirely on-device.