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The README had grown to ~1050 lines covering everything from vim
keybindings to crates.io publishing. Following the sympozium pattern:
the README keeps the hook (banner, install, quickstart, short how-it-
works) at ~190 lines, and deep content moves verbatim to focused
guides under docs/ (tui, cli, how-it-works, providers, platform
support, custom models, development, openclaw), linked from the
Documentation matrix at the top.
Also removes the stale /docs entry from .gitignore (added in 7f35522
with no generator behind it — nothing in CI or the web build writes
to /docs).
All relative links and anchors validated programmatically; root-
relative links in moved content rewritten with ../. README.zh.md and
README.ja.md are intentionally untouched until the English layout
settles.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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OpenClaw Integration
OpenClaw integration
llmfit ships as an OpenClaw skill that lets the agent recommend hardware-appropriate local models and auto-configure Ollama/vLLM/LM Studio providers.
Install the skill
# From the llmfit repo
./scripts/install-openclaw-skill.sh
# Or manually
cp -r skills/llmfit-advisor ~/.openclaw/skills/
Once installed, ask your OpenClaw agent things like:
- "What local models can I run?"
- "Recommend a coding model for my hardware"
- "Set up Ollama with the best models for my GPU"
The agent will call llmfit recommend --json under the hood, interpret the results, and offer to configure your openclaw.json with optimal model choices.
How it works
The skill teaches the OpenClaw agent to:
- Detect your hardware via
llmfit --json system - Get ranked recommendations via
llmfit recommend --json - Map HuggingFace model names to Ollama/vLLM/LM Studio tags
- Configure
models.providers.ollama.modelsinopenclaw.json
See skills/llmfit-advisor/SKILL.md for the full skill definition.