--- name: faion-ml-engineer description: "ML/AI orchestrator: LLM integration, RAG, ML Ops, agents, multimodal." user-invocable: false allowed-tools: Read, Write, Edit, Glob, Grep, Bash, Task, AskUserQuestion, TodoWrite, Skill --- > **Entry point:** `/faion-net` — invoke this skill for automatic routing to the appropriate domain. # ML Engineer Orchestrator **Communication: User's language. Code: English.** ## Purpose Routes AI/ML tasks to specialized sub-skills. Orchestrates LLM integration, RAG, operations, agents, and multimodal AI. ## Sub-Skills (5) | Sub-Skill | Purpose | Methodologies | |-----------|---------|---------------| | **faion-llm-integration** | LLM APIs, prompting, function calling | 26 | | **faion-rag-engineer** | RAG systems, embeddings, vector search | 22 | | **faion-ml-ops** | Fine-tuning, evaluation, cost, observability | 15 | | **faion-ai-agents** | Autonomous agents, multi-agent, MCP | 26 | | **faion-multimodal-ai** | Vision, image/video gen, speech, TTS | 12 | **Total: 101 methodologies** ## Routing Logic | Task Type | Route To | |-----------|----------| | OpenAI/Claude/Gemini API integration | faion-llm-integration | | Prompt engineering, CoT, guardrails | faion-llm-integration | | RAG pipeline, embeddings, chunking | faion-rag-engineer | | Vector databases, hybrid search | faion-rag-engineer | | Fine-tuning, LoRA, evaluation | faion-ml-ops | | Cost optimization, observability | faion-ml-ops | | Agents, multi-agent, LangChain | faion-ai-agents | | MCP, agent architectures | faion-ai-agents | | Vision, image/video generation | faion-multimodal-ai | | Speech-to-text, TTS, voice | faion-multimodal-ai | ## Execution Protocol When a task arrives: 1. **Analyze task intent** 2. **Select appropriate sub-skill** (use routing table above) 3. **Invoke sub-skill** with Skill tool 4. **Return results** to caller ## Quick Reference | Provider | Best For | Context | Sub-Skill | |----------|----------|---------|-----------| | OpenAI | General, vision, tools | 128K | faion-llm-integration | | Claude | Long context, reasoning | 200K | faion-llm-integration | | Gemini | Multimodal, 2M context | 2M | faion-llm-integration | | Local | Privacy, offline | Varies | faion-llm-integration | | Task | Sub-Skill | |------|-----------| | RAG pipeline | faion-rag-engineer | | Vector DB (Qdrant, Weaviate) | faion-rag-engineer | | Fine-tuning | faion-ml-ops | | Cost optimization | faion-ml-ops | | Agents (ReAct, multi-agent) | faion-ai-agents | | LangChain/LlamaIndex | faion-ai-agents | | Vision, image gen | faion-multimodal-ai | | Speech, TTS | faion-multimodal-ai | ## Related Skills | Skill | Relationship | |-------|-------------| | faion-software-developer | Application integration | | faion-devops-engineer | Model deployment | --- *ML Engineer Orchestrator v2.0* *5 Sub-Skills | 101 Total Methodologies*