From swarmdo-swarmllm
Format prompts for different LLM providers with chat templates and HNSW-powered context retrieval
How this skill is triggered — by the user, by Claude, or both
Slash command
/swarmdo-swarmllm:chat-format <prompt> [--provider anthropic|openai|local]<prompt> [--provider anthropic|openai|local]This skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Format prompts for multi-provider LLM inference with context retrieval.
Format prompts for multi-provider LLM inference with context retrieval.
When preparing prompts for different LLM providers (Claude, GPT, Gemini, Ollama) or building RAG pipelines with HNSW-powered context retrieval.
mcp__swarmdo__swarmllm_chat_format with messages and target providermcp__swarmdo__swarmllm_hnsw_create for context retrievalmcp__swarmdo__swarmllm_hnsw_add to index documentsmcp__swarmdo__swarmllm_hnsw_route to find relevant contextmcp__swarmdo__swarmllm_status for provider availabilityGuides collaborative design exploration before implementation: explores context, asks clarifying questions, proposes approaches, and writes a design doc for user approval.
Creates structured, bite-sized implementation plans from specs or requirements before writing code. Useful for breaking down multi-step tasks into testable steps with file structure and task boundaries.
Implements work from a spec or tickets using TDD at agreed seams, with regular typechecking and test runs, followed by code review.
npx claudepluginhub swarmdo/swarmdo --plugin swarmdo-swarmllm