local-llm-claude-code
Skill27 starsChanged 11 months agoNo licenceView on GitHub
Set up a FREE local LLM (via Ollama) and connect Claude Code to it so it runs offline with no API costs. Use this whenever the user wants to run Claude Code on a local/self-hosted model, use Ollama/Qwen/Llama/Mistral/DeepSeek with Claude Code, get a "free" or "offline" coding agent, avoid Anthropic API costs, point ANTHROPIC_BASE_URL at localhost, or asks "can my machine/VPS run a local LLM for Claude Code". Trigger even if they only say "run Claude Code locally", "local model for coding", "self-hosted Claude Code", or name a local model (qwen3, llama3, deepseek-coder). Handles install, model tuning, wiring, and an honest hardware reality-check (a capable model AND fast hardware are BOTH required).
- Reads credentials
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
In this repository33 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
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- building-mcp-serversSkill
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- creating-skillsSkill
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- evaluationSkill
- fetching-library-docsSkill
- helmSkill
- hypothesis-annotation-visibilitySkill
- installing-skill-trackerSkill
- internal-commsSkill
- kafkaSkill
- kubernetesSkill
- memory-systemsSkill
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- nextjs-devtoolsSkill
- nx-monorepoSkill
- operating-production-servicesSkill
- researching-with-deepwikiSkill
- scaffolding-fastapi-daprSkill
- scaffolding-openai-agentsSkill
- streaming-llm-responsesSkill
- styling-with-shadcnSkill
- systematic-debuggingSkill
- tool-designSkill
- working-with-documentsSkill
- working-with-spreadsheetsSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

