Convert mermaid

Skill richfrem/agent-plugins-skills/plugins/dev-utils/skills/convert-mermaid

repo for reusable plugins and skills

Install

npx -y skills add richfrem/agent-plugins-skills --skill convert-mermaid

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

4 stars4 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

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.

SKILL.md

3.1 KB, as published. Nobody here has run it

<example>python ./scripts/convert.py -i architecture.mmd -o architecture.png -s 3</example> <example>python ./scripts/verify_png.py architecture.png</example>

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.