ghx-to-llmlisted

# GHX to LLM Converter Convert Grasshopper `.ghx` files into two complementary outputs for LLM understanding and RAG retrieval. ## How to Use This Skill 1. User provides path to `.ghx` file 2. Run Python converter script → creates `{name}_Definition.md` 3. Analyze conversion output → create `{name}_Summary.md` 4. Both files saved to same folder as input ## When to Use This Skill - User invokes `/ghx-to-llm [path]` - User asks to convert/document a Grasshopper file - Creating RAG context for GH definitions - Preparing GH workflows for LLM analysis ## CLI Scripts | Script | Purpose | Usage | |--------|---------|-------| | `scripts/ghx_to_llm.py` | Convert .ghx to LLM-readable markdown | `python scripts/ghx_to_llm.py input.ghx [-o output.md]` | **Script options:** - `input` - Path to .ghx file (required) - `-o, --output` - Custom output path (default: `{input}_Definition.md`) - `--stdout` - Print to console instead of file ## Output Files | Input | Output 1 (Phase 1) | Output 2 (Phase 2) | |-------|--------------------|--------------------| | `Task_01.ghx` | `Task_01_Definition.md` | `Task_01_Summary.md` | ## Example Workflow ```bash # Phase 1: Convert (from skill folder) python .claude/skills/ghx-to-llm/scripts/ghx_to_llm.py "path/to/Definition.ghx" # Output: path/to/Definition_Definition.md # Phase 2: Summarize (LLM reads conversion, writes summary) # Read the _Definition.md file # Create: path/to/Definition_Summary.md ``` ## Critical Requirements - **Input form