chat-format
Format prompts for different LLM providers with chat templates and HNSW-powered context retrieval
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- Repository
- ruvnet/ruflo
- Last source activity
- July 17, 2026 at 03:06
- Detected SKILL.md language
- English
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- 73,469
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Source instructions · Read-only preview- 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__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
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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