faion-ml-engineer
ML Engineer role: LLM APIs (OpenAI, Claude, Gemini), embeddings, RAG pipelines, fine-tuning, LangChain, LlamaIndex, vector databases (Pinecone, Chroma, Weaviate), prompt engineering, model evaluation, cost optimization.
npx skills add majiayu000/claude-skill-registry --skill faion-ml-engineer --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.
# ML Engineer Domain Skill **Communication: User's language. Code: English.** ## Purpose Orchestrates AI/ML engineering activities. Covers LLM APIs, embeddings, RAG systems, fine-tuning, and AI frameworks. --- ## Agents | Agent | Purpose | |-------|---------| | faion-ml-agent | AI/ML implementation and integration | --- ## References Detailed technical context for each area: | Reference | Content | Lines | |-----------|---------|-------| | [openai-api.md](references/openai-api.md) | GPT-4, DALL-E, Whisper, Assistants | ~1310 | | [claude-api.md](references/claude-api.md) | Claude models, tool use, extended thinking | ~1420 | | [gemini-api.md](references/gemini-api.md) | Gemini models, multimodal, grounding | ~1150 | | [embeddings.md](references/embeddings.md) | Text embeddings, similarity, chunking | ~900 | | [finetuning.md](references/finetuning.md) | Model fine-tuning, datasets, evaluation | ~990 | | [langchain.md](references/langchain.md) | Chains, agents, memory, tools | ~1440 | | [llamaindex.md](references/llamaindex.md) | Document indexing, query engines | ~1210 | | [vector-databases.md](references/vector-databases.md) | Pinecone, Weaviate, Chroma, pgvector | ~1390 | **Total:*
- Purpose
- Agents
- References
- Quick Reference
- LLM Provider Selection
- Model Selection
- Framework Selection
- Vector Database Selection
- Methodologies (24)
- LLM APIs (M-LLM-)
- Embeddings (M-EMB-)
- RAG (M-RAG-)
- Fine-tuning (M-FT-)
- Agents (M-AGT-)
What does the faion-ml-engineer skill do?
ML Engineer role: LLM APIs (OpenAI, Claude, Gemini), embeddings, RAG pipelines, fine-tuning, LangChain, LlamaIndex, vector databases (Pinecone, Chroma, Weaviate), prompt engineering, model evaluation, cost optimization.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill faion-ml-engineer --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.