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ruvnet/ruflo742 installs

chat-format

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

How do I install this agent skill?

npx skills add https://github.com/ruvnet/ruflo --skill chat-format
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    The skill provides instructions for formatting prompts and indexing documents across multiple LLM providers. It contains an inherent surface for indirect prompt injection due to the handling of untrusted prompts and external document content.

  • Socketpass

    No alerts

  • Snykpass

    Risk: LOW · No issues

What does this agent skill do?

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

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/ruvnet/ruflo/chat-format">View chat-format on skillZs</a>