Explain code or text using local AI inference via Cercano and Ollama.
npx skills add https://github.com/bryancostanich/Cercano --skill cercano-explain
Please help me install this Agent Skill. Skill: cercano-explain Source: https://github.com/bryancostanich/Cercano/tree/main/plugins/skills/cercano-explain Command: npx skills add https://github.com/bryancostanich/Cercano --skill cercano-explain
Explain code and technical text using local AI inference to avoid cloud dependencies and protect privacy.
Explain the given code snippet to a new team member and summarize its high-level behavior.
High-intent search queries and answers about installing and using this skill.
To explain code locally without cloud dependencies, you can use local AI inference via a Cercano server connected to an Ollama instance. This generates explanations for code snippets or text privately on your machine.
Yes, local AI can assist with code reviews and onboarding by identifying key interfaces, data flow, and components in unfamiliar code, generating summaries that accelerate understanding for new team members.
To run local code explanations offline, you need a running Cercano server connected to an Ollama instance, which allows you to process text or file paths securely in restricted or private environments.
The local code explanation tool accepts both direct text and a file_path as input, allowing you to either paste snippets directly or point the tool to a file for generating an explanation.
The best way to summarize dense technical documentation privately is using local AI inference; by running a Cercano server with Ollama, you can generate explanations locally without exposing sensitive documentation to external cloud services.
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