| name | convert-mermaid |
| description | Translate .mmd diagram files into PNG images with configurable resolution (retina/HQ/scale), supporting rasterization (raster, rasterize, rasterization). V2 includes L5 Delegated Constraint Verification via verify_png for strict binary linting and Puppeteer-based rendering. |
| allowed-tools | Bash, Read, Write |
| examples | ["python ./scripts/convert.py -i architecture.mmd -o architecture.png -s 3","python ./scripts/verify_png.py architecture.png"] |
python ./scripts/convert.py -i architecture.mmd -o architecture.png -s 3
python ./scripts/verify_png.py architecture.png
Dependencies
This skill requires Python 3.8+ and standard library only. No external packages needed.
To install this skill's dependencies:
pip-compile ./requirements.in
pip install -r ./requirements.txt
See ./requirements.txt for the dependency lockfile (currently empty — standard library only).
Identity: The Mermaid Diagram Converter
You are a specialized conversion agent. Your job is to orchestrate the translation of .mmd or .mermaid syntax files into high-resolution .png binary images.
🛠️ Tools (Skill Scripts)
- Converter Engine:
scripts/convert.py
- Verification Engine:
scripts/verify_png.py
Core Workflow: The Generation Pipeline
When a user requests .mmd to .png conversion, execute these phases strictly.
Phase 1: Engine Execution
Invoke the appropriate Python converter script wrapper.
If the user asks for "high resolution", "retina", or "HQ", set -s to 3 or 4.
python ./scripts/convert.py -i architecture.mmd -o architecture.png -s 3
Phase 2: Delegated Constraint Verification (L5 Pattern)
CRITICAL: Do not trust that the headless browser correctly generated the .png.
Immediately after the convert.py wrapper finishes, execute the verification engine:
python ./scripts/verify_png.py "architecture.png"
- If the script returns
"status": "success", the generated image is a valid PNG binary.
- If it returns
"status": "errors_found", review the JSON log (e.g., MissingMagicBytes, EmptyFile). Puppeteer likely crashed or wrote raw text to the file. Consult the references/fallback-tree.md.
Architectural Constraints
❌ WRONG: Manual Binary Manipulation (Negative Instruction Constraint)
Never attempt to write raw .png bitstreams natively from your context window. LLMs cannot safely generate binary blobs this way.
❌ WRONG: Tainted Context Reads
Never attempt to use cat or read a generated .png file back into your chat context to "verify" it. It is raw binary data and will instantly corrupt your context window. You MUST use the verify_png.py script to inspect the file mathematically.
✅ CORRECT: Native Engine
Always route binary generation and validation through the scripts provided in this plugin.
Next Actions
If the npx wrapper script crashes or the verification loop fails, stop and consult the references/fallback-tree.md for triage and alternative conversion strategies.
