Generate Mermaid diagrams from code graphs using Trailmark analysis.
npx skills add https://github.com/iiammae/opero --skill diagramming-code-iiammae
Please help me install this Agent Skill. Skill: diagramming-code Source: https://github.com/iiammae/opero/tree/main/.agents/skills/diagramming-code Command: npx skills add https://github.com/iiammae/opero --skill diagramming-code-iiammae
This Skill automates the generation of Mermaid diagrams from code graphs, enabling users to visualize complex code relationships and structures efficiently.
Run the 'diagramming-code' skill with the command: uv run diagramming-code --target . --type call-graph --focus main --depth 2.
High-intent search queries and answers about installing and using this skill.
You can generate Mermaid diagrams from code by running the diagramming-code skill, which automates code visualization by extracting code graphs and rendering them into structural relationship maps. It requires Trailmark for code analysis to ensure accurate mapping.
Code visualization supports generating various custom Mermaid diagrams, including call graphs, class hierarchies, module dependency maps, and complexity heatmaps. These diagrams help identify architectural hotspots and understand component relationships within large codebases.
Yes, Trailmark is a required dependency for analyzing code and mapping module dependencies. It performs the pre-analysis necessary to extract accurate code graphs, which are then used to automate the generation of Mermaid diagrams.
To create a call graph diagram, run the diagramming-code skill with parameters specifying the target directory, diagram type, focus function, and depth. For example, use `--type call-graph --focus main --depth 2` to visualize specific function relationships.
The best way to visualize complex code relationships during software maintenance is to automate Mermaid diagram generation from code graphs. This approach quickly maps call graphs and class hierarchies, helping developers understand structures and identify hotspots efficiently.
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