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explain

Explains code/architecture with Mermaid diagrams and sequence flows. Triggers: what does X do, how does Y work, explain code, sequence diagram.

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仓库
softspark/ai-toolkit
最近来源活动
2026年9月4日 09:36
检测到的 SKILL.md 语言
英语
星标
179
分支
21

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SKILL.md
来源说明 · 只读预览
name
explain
description
Explains code/architecture with Mermaid diagrams and sequence flows. Triggers: what does X do, how does Y work, explain code, sequence diagram.
user-invocable
true
effort
medium
argument-hint
[file or module path]
agent
code-archaeologist
context
fork
allowed-tools
Read, Grep, Glob
# Explain $ARGUMENTS Generates visual architecture explanations. ## Output Format ### 1. High-Level Role "This module handles [Responsibility]. It interacts with [Dependencies]." ### 2. Dependency Graph (Mermaid) Generate a graph showing imports/exports. ```mermaid graph TD A[AuthService] -->|uses| B[UserRepo] A -->|validates| C[Schema] D[Controller] -->|calls| A ``` ### 3. Key Flows (Sequence) If logical flows are detected: ```mermaid sequenceDiagram User->>Controller: Login Controller->>Service: Validate Service->>DB: Check Creds DB-->>Service: Result Service-->>Controller: Token ``` ## Protocol 1. **Scan**: Read file contents to identify classes and functions. 2. **Link**: Identify imports to find collaborators. 3. **Visualize**: Generate standard Mermaid syntax. ## Automated Dependency Graph Run the bundled script to extract imports and generate a Mermaid diagram: ```bash python3 ${CLAUDE_SKILL_DIR}/scripts/dependency-graph.py src/auth.py ``` ## Rules - **MUST** start from what the user already knows — if it is unclear, ask one question before explaining - **MUST** ground the explanation in the actual code (file:line references), not in generic framework theory - **NEVER** use an analogy when a direct definition is clearer — analogies add a translation step for the reader - **NEVER** produce a diagram that the text does not already justify — diagrams illustrate, they do not replace the explanation - **CRITICAL**: when the code base is large, scope the explanation to one entry point plus its immediate collaborators. Explaining "the whole system" in one pass fails for any non-trivial project. - **MANDATORY**: if the user asks for a short answer, give a one-paragraph summary without diagrams — not every request needs a Mermaid graph ## Gotchas - Mermaid renders differently across GitHub, VS Code preview, and static generators. Features added post-2023 (e.g., class diagram relations, `accTitle`) may render as raw text on older renderers. Stick to the basic subset unless you know the target. - `dependency-graph.py` parses imports statically; dynamic imports (`__import__`, `importlib.import_module`, JavaScript `await import()`) are invisible. Note explicitly when the generated graph is likely incomplete. - Sequence diagrams have no notion of async vs sync. Two parallel calls render as sequential; distinguish with a `par` block or a note. - Architectural explanations that name "the service layer" or "the controller" leak framework jargon. If the project does not use those terms, use the project's own names — otherwise the reader is translating twice. - Long Mermaid graphs wrap awkwardly on narrow screens. For >20 nodes, split into a high-level graph and drill-down graphs rather than one giant diagram. ## When NOT to Use - To critique or improve the code — use `/review` or `/refactor` - To find a specific function across the codebase — use `/explore` or `Grep` - To write the documentation that the explanation turns into — use `/docs` - For a full architecture audit or redesign — use `/architecture-audit` - When the user asks "why is this broken" — use `/debug`, not `/explain`
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