Gorilla
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls) api-router, python, api, api-documentation, chatgpt, claude-api, gpt-4-api. Use when you need api-router capabilities. Triggers on: api-router.
npx skills add majiayu000/claude-skill-registry --skill gorilla --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Gorilla Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls) ## Commands - `help` - Help - `run` - Run - `info` - Info - `status` - Status ## Features - Core functionality from ShishirPatil/api-router ## Usage Run any command: `api-router <command> [args]` --- 💬 Feedback & Feature Requests: https://bytesagain.com/feedback Powered by BytesAgain | bytesagain.com ## Examples ```bash # Show help api-router help # Run api-router run ``` ## How It Works Reads input, processes with built-in logic, outputs structured results. ## Tips - Run `api-router help` for all commands - No API keys required - Works offline
- Features
- Usage
- Examples
- How It Works
- Tips
Show help api-router help Run api-router run
What does the Gorilla skill do?
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls) api-router, python, api, api-documentation, chatgpt, claude-api, gpt-4-api. Use when you need api-router capabilities. Triggers on: api-router.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill gorilla --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
