Explain

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.

graph TD
    A[AuthService] -->|uses| B[UserRepo]
    A -->|validates| C[Schema]
    D[Controller] -->|calls| A

3. Key Flows (Sequence)

If logical flows are detected:

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:

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

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: softspark
• Source: softspark/ai-toolkit
• License: MIT
• Homepage: https://softspark.eu

Install and usage instructions live in the source repository linked above.