chat-format

Format prompts for different LLM providers with chat templates and HNSW-powered context retrieval

Install

npx skills add https://github.com/ruvnet/ruflo --skill chat-format

SKILL.md

---name: chat-formatdescription: Format prompts for different LLM providers with chat templates and HNSW-powered context retrievalargument-hint: <prompt> [--provider anthropic|openai|gemini|ollama|cohere]allowed-tools: mcp__plugin_ruflo-core_ruflo__ruvllm_chat_format mcp__plugin_ruflo-core_ruflo__ruvllm_hnsw_create mcp__plugin_ruflo-core_ruflo__ruvllm_hnsw_add mcp__plugin_ruflo-core_ruflo__ruvllm_hnsw_route mcp__plugin_ruflo-core_ruflo__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

Format chat — call mcp__plugin_ruflo-core_ruflo__ruvllm_chat_format with messages and target provider
Create HNSW index — call mcp__plugin_ruflo-core_ruflo__ruvllm_hnsw_create for context retrieval
Add documents — call mcp__plugin_ruflo-core_ruflo__ruvllm_hnsw_add to index documents
Route query — call mcp__plugin_ruflo-core_ruflo__ruvllm_hnsw_route to find relevant context
Check status — call mcp__plugin_ruflo-core_ruflo__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

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