Cross-tool AI assets: documentation-based skills for Copilot, Claude, Cursor, and other coding assistants
Copy the install, test the workflow, then decide if it earns a permanent slot.
The signal is softer here. Treat it like a pattern source unless it solves a very specific gap.
Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
GitHub health 42/100. no security policy. 1 open issues make this testable, but not something to trust blind.
AI Agent
Cursor AI
Model
Multiple
Fastest way to find out if llm-code belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
git clone https://github.com/itechmeat/llm-code ~/.claude/skills/llm-codeRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf ~/.claude/skills/llm-codeNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ skills/ │ └─ llm-code/ ← installs here ├─ agents/ └─ settings.json
Cross-tool AI assets: documentation-based skills for Copilot, Claude, Cursor, and other coding assistants
Source: GitHub repository
Source check: July 18, 2026
Upstream commit: July 18, 2026
Repository state: Not marked archived
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