Generate Obsidian Canvas and sequence diagrams from codebases.
npx skills add https://github.com/tzf1003/ObsidianSkills --skill obsidian-arch
Please help me install this Agent Skill. Skill: obsidian-arch Source: https://github.com/tzf1003/ObsidianSkills/tree/main Command: npx skills add https://github.com/tzf1003/ObsidianSkills --skill obsidian-arch
Obsidian-arch provides a bridge between code repositories and Obsidian, enabling AI-assisted generation, visualization, and synchronization of project architectures using Obsidian Canvas and sequence diagrams.
Point your AI agent at this project and run the /init command to generate the initial architecture canvases.
High-intent search queries and answers about installing and using this skill.
Obsidian Canvas visualization of a monorepo architecture is generated by pointing your AI agent at the codebase and running the /init command. This produces canvas JSON output compatible with Obsidian standards, mapping dependencies and data paths into a single visual view.
Sequence diagrams for multi-service interactions can be generated dynamically to visualize critical data paths. This Skill creates dynamic sequence diagrams and supports reverse-syncing the diagram changes back to the code repository.
Obsidian notes are kept in sync with evolving codebase architecture through AI-assisted generation and synchronization. This bridges the code repository and Obsidian, enabling architecture-driven development by updating interaction scenarios and module details as the code changes.
Architecture visualization works effectively for multi-service projects and monorepos. The Skill handles initialization, global architecture mapping, module details, and interaction scenarios specifically designed for complex codebases.
Bridging a code repository with Obsidian for architecture discovery is best done using MCP-based prompts and frontmatter-driven discovery. This automates the extraction of global architecture and module details, outputting canvas JSON compatible with Obsidian Canvas.
Global architecture canvas generation from large codebases relies on AI agent processing, so limitations depend on the agent's context window and reasoning capabilities. The Skill provides the structural prompts for initialization and module details, but the discovery depth is bounded by the agent.
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