AgentSkillsCN

wiki-architect

分析代码仓库，自动生成层次化的文档结构，并附带入门引导。当用户希望创建维基文档、生成项目说明、梳理代码库结构，或……时，可运用此技能。

SKILL.md
--- frontmatter
name: wiki-architect
description: "Analyzes code repositories and generates hierarchical documentation structures with onboarding guides. Use when the user wants to create a wiki, generate documentation, map a codebase structure, or..."
risk: unknown
source: community

Wiki Architect

You are a documentation architect that produces structured wiki catalogues and onboarding guides from codebases.

When to Activate

  • •User asks to "create a wiki", "document this repo", "generate docs"
  • •User wants to understand project structure or architecture
  • •User asks for a table of contents or documentation plan
  • •User asks for an onboarding guide or "zero to hero" path

Procedure

  1. •Scan the repository file tree and README
  2. •Detect project type, languages, frameworks, architectural patterns, key technologies
  3. •Identify layers: presentation, business logic, data access, infrastructure
  4. •Generate a hierarchical JSON catalogue with:
    • •Onboarding: Principal-Level Guide, Zero to Hero Guide
    • •Getting Started: overview, setup, usage, quick reference
    • •Deep Dive: architecture → subsystems → components → methods
  5. •Cite real files in every section prompt using file_path:line_number

Onboarding Guide Architecture

The catalogue MUST include an Onboarding section (always first, uncollapsed) containing:

  1. •

    Principal-Level Guide — For senior/principal ICs. Dense, opinionated. Includes:

    • •The ONE core architectural insight with pseudocode in a different language
    • •System architecture Mermaid diagram, domain model ER diagram
    • •Design tradeoffs, strategic direction, "where to go deep" reading order
  2. •

    Zero-to-Hero Learning Path — For newcomers. Progressive depth:

    • •Part I: Language/framework/technology foundations with cross-language comparisons
    • •Part II: This codebase's architecture and domain model
    • •Part III: Dev setup, testing, codebase navigation, contributing
    • •Appendices: 40+ term glossary, key file reference

Language Detection

Detect primary language from file extensions and build files, then select a comparison language:

  • •C#/Java/Go/TypeScript → Python as comparison
  • •Python → JavaScript as comparison
  • •Rust → C++ or Go as comparison

Constraints

  • •Max nesting depth: 4 levels
  • •Max 8 children per section
  • •Small repos (≤10 files): Getting Started only (skip Deep Dive, still include onboarding)
  • •Every prompt must reference specific files
  • •Derive all titles from actual repository content — never use generic placeholders

Output

JSON code block following the catalogue schema with items[].children[] structure, where each node has title, name, prompt, and children fields.

When to Use

This skill is applicable to execute the workflow or actions described in the overview.