A framework-agnostic AI skill that automatically syncs architecture documentation with your codebase, generating an interactive HTML dashboard with API modules, endpoints, Docker topology, SQL queries, permissions, and Swagger spec.

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Last updated

2026-07-26

AI repository intelligence
FR-AI / ANALYSIS

Why it is worth attention

It bridges the gap between code and documentation by turning architecture.json into a living, machine-readable context index that saves AI assistants thousands of tokens and provides developers with a beautiful, interactive dashboard with zero pip dependencies.

Who it is for

  • Backend developers
  • DevOps engineers
  • Users of AI coding assistants (Antigravity, Claude Code, Cursor, etc.)
  • Tech leads managing microservices or monorepos

Use cases

  • Automatically generate and update architecture docs after adding new endpoints or services
  • Provide AI coding assistants with a single-file context index to understand the entire project architecture
  • Visualize Docker container topology and API modules in a live dashboard
  • Audit permissions and RBAC mappings across modules

Strengths

  • Zero-dependency Python scanner (stdlib only) works without any pip install
  • Supports multiple frameworks (Express, FastAPI, Django, Rails, Laravel, Spring Boot, Go) and multiple AI assistants
  • Generates a single self-contained HTML file with 10 interactive sections including live Swagger UI
  • Designed for AI token savings: reads one file instead of dozens of grep calls

Considerations

  • Requires Python 3.8+ on the machine where the script runs
  • Relies on the AI assistant's ability to read/write files and execute shell commands
  • Initial setup requires copying SKILL.md or using npx; not a plug-and-play service

README quick start

Quick Start (Installation & Setup)

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