faion-llm-integration
LLM APIs: OpenAI, Claude, Gemini, local LLMs, prompt engineering, function calling.
npx skills add majiayu000/claude-skill-registry --skill faion-llm-integration --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.
> **Entry point:** `/faion-net` — invoke this skill for automatic routing to the appropriate domain. # LLM Integration Skill **Communication: User's language. Code: English.** ## Purpose Handles direct integration with LLM APIs. Covers OpenAI, Claude, Gemini, local models, prompt engineering, and output structuring. ## Context Discovery ### Auto-Investigation Check these project signals before asking questions: | Signal | Where to Check | What to Look For | |--------|----------------|------------------| | **Dependencies** | package.json, requirements.txt, go.mod | openai, anthropic, google-generativeai, langchain | | **Config files** | .env, config/*.{yml,json} | API keys (OPENAI_API_KEY, ANTHROPIC_API_KEY) | | **Existing code** | Grep for "openai", "anthropic", "genai" | Existing LLM integrations | | **Documentation** | README.md, docs/ | LLM usage patterns | ### Discovery Questions ```yaml question: "What LLM task are you building?" header: "Task Type" multiSelect: false options: - label: "Chat/completion API" description: "Direct LLM API calls for text generation" - label: "Function calling / tool use" description: "LLM selects and executes functions" - label: "Structured output
- Purpose
- Context Discovery
- Auto-Investigation
- Discovery Questions
- Scope
- Quick Start
- Methodologies (26)
- Code Examples
- OpenAI Chat Completion
- Claude Messages
- Function Calling
- Related Skills
What does the faion-llm-integration skill do?
LLM APIs: OpenAI, Claude, Gemini, local LLMs, prompt engineering, function calling.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill faion-llm-integration --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.