bymjunaidca· 100 skills
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).
$npx -y skills add mjunaidca/mjs-agent-skills --skill local-llm-claude-codeInstalls into the current project.
Run `npx skills use "https://github.com/mjunaidca/mjs-agent-skills" --skill "mjunaidca/mjs-agent-skills/local-llm-claude-code"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/mjunaidca/mjs-agent-skills" that are relevant to the current task. Run `npx skills add "https://github.com/mjunaidca/mjs-agent-skills"` and select the relevant skills, then follow their instructions.