Installs into .claude/skills of the current project.
Are you the author of Chat Format Marshadgani Arshad Ai?
Add the live security badge to your README. It updates with every re-scan.
[](https://www.skillsdirectory.com/skills/majiayu000-chat-format-marshadgani-arshad-ai)
---
name: chat-format
description: Format prompts for different LLM providers with chat templates and HNSW-powered context retrieval
argument-hint: "<prompt> [--provider anthropic|openai|gemini|ollama|cohere]"
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
