Chat Format
Format prompts for different LLM providers with chat templates and HNSW-powered context retrieval
Specification
- Skill ID
- ruvnet/ruflo/chat-format
- Publisher
- ruvnet
- Repository
- ruflo
- Installs
- 0
- Files
- 1
- Synced
- Sep 23, 2026
How to use it
Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.
ruvnet/ruflo/chat-formatInstalls these files- SKILL.md
What this skill tells the agent
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_formatwith messages and target provider - Create HNSW index — call
mcp__plugin_ruflo-core_ruflo__ruvllm_hnsw_createfor context retrieval - Add documents — call
mcp__plugin_ruflo-core_ruflo__ruvllm_hnsw_addto index documents - Route query — call
mcp__plugin_ruflo-core_ruflo__ruvllm_hnsw_routeto find relevant context - Check status — call
mcp__plugin_ruflo-core_ruflo__ruvllm_statusfor 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
More from ruvnet
Use this skill in a project
Open any RiverX project, search the Skills panel for ruvnet/ruflo/chat-format, and install it in one click.