Skip to content
Back to skills

Chat Format

ASecurity

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

  • 73,733 stars
  • 0 votes
  • 0 copies
  • 2 views
  • Added May 27, 2026
data-aigobash

Works with

  • mcp

Security analysis

A100/100

Scanned May 27, 2026

npx -y skills add ruvnet/ruflo --skill chat-format --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Chat Format?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Chat Format
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/ruvnet-chat-format/badge)](https://www.skillsdirectory.com/skills/ruvnet-chat-format)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
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

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…