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[](https://versuz.dev/skills/ruvnet-claude-flow-plugins-ruflo-ruvllm-skills-chat-format)Free SKILL.md scraped from GitHub. Clone the repo or copy the file directly into your Claude Code skills directory.
npx versuz@latest install ruvnet-claude-flow-plugins-ruflo-ruvllm-skills-chat-formatgit clone https://github.com/ruvnet/claude-flow.gitcp claude-flow/SKILL.MD ~/.claude/skills/ruvnet-claude-flow-plugins-ruflo-ruvllm-skills-chat-format/SKILL.md--- name: chat-format description: Format prompts for different LLM providers with chat templates and HNSW-powered context retrieval argument-hint: "<prompt> [--provider anthropic|openai|local]" allowed-tools: mcp__claude-flow__ruvllm_chat_format mcp__claude-flow__ruvllm_hnsw_create mcp__claude-flow__ruvllm_hnsw_add mcp__claude-flow__ruvllm_hnsw_route mcp__claude-flow__ruvllm_status Bash --- # Chat Format Format prompts for multi-provider LLM inference with context retrieval. ## When to use When preparing prompts for different LLM providers (Claude, GPT, Gemini, Ollama) or building RAG pipelines with HNSW-powered context retrieval. ## Steps 1. **Format chat** — call `mcp__claude-flow__ruvllm_chat_format` with messages and target provider 2. **Create HNSW index** — call `mcp__claude-flow__ruvllm_hnsw_create` for context retrieval 3. **Add documents** — call `mcp__claude-flow__ruvllm_hnsw_add` to index documents 4. **Route query** — call `mcp__claude-flow__ruvllm_hnsw_route` to find relevant context 5. **Check status** — call `mcp__claude-flow__ruvllm_status` for provider availability ## Supported providers - Anthropic (Claude) — native format - OpenAI (GPT) — chat completion format - Google (Gemini) — generative AI format - Ollama — local model format - Cohere — generate/chat format