What problem does it solve?
Maintaining up-to-date technical documentation for software codebases is time-consuming, error-prone, and often falls out of sync with code changes, leaving development teams and new hires without reliable reference material to understand system architecture, data models, and workflows.
Core Features & Use Cases
- Full and Incremental Wiki Generation: Automatically detects codebase structure (languages, frameworks, modules, APIs, tests, deployment config) to build a comprehensive technical wiki from scratch, or incrementally update only changed areas to save time and reduce token usage.
- Dual-Audience Documentation: Generates content tailored for both future AI agents (machine-readable context for quick orientation) and new human hires (plain-language business summaries, learning paths, and diagrams).
- Gated Publishing: Supports shipping completed wiki content to external platforms like GitHub Wiki behind explicit human approval gates, with no unauthorized modifications to source code or existing documentation.
- Use Case: For a 10-person SaaS team with a rapidly evolving codebase, use this skill to auto-generate a full technical wiki covering architecture, data models, API references, and onboarding guides, then run weekly incremental updates to keep documentation in sync with code changes without manual effort.
Quick Start
Invoke the wiki-generator skill with the $wiki-generator command to build a complete, code-grounded technical wiki for your target repository stored in the docs/wiki/ directory.