# Chat Format

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

- Skill: `thedixitjain/chat-format` (Agent Skill)
- Install (CLI): `npx skillmds add thedixitjain/chat-format`
- Raw SKILL.md: https://api.skillmd.com/api/skills/thedixitjain/chat-format/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: thedixitjain (https://skillmd.com/u/thedixitjain)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/thedixitjain/chat-format

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# 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__plugin_ruflo-core_ruflo__ruvllm_chat_format` with messages and target provider
2. **Create HNSW index** — call `mcp__plugin_ruflo-core_ruflo__ruvllm_hnsw_create` for context retrieval
3. **Add documents** — call `mcp__plugin_ruflo-core_ruflo__ruvllm_hnsw_add` to index documents
4. **Route query** — call `mcp__plugin_ruflo-core_ruflo__ruvllm_hnsw_route` to find relevant context
5. **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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**Source:** [`ruvnet/ruflo`](https://github.com/ruvnet/ruflo) → `plugins/ruflo-ruvllm/skills/chat-format/SKILL.md`