data-flow

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Generates a Mermaid sequence diagram showing how data moves between components. Use when tracing request flows or documenting data transformation pipelines.

Data & Documents 310 stars 27 forks Updated today MIT

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Skill Content

# Data Flow Diagram Generate a Mermaid sequence diagram showing how data moves between components in a codebase. ## When To Use - Tracing how a request flows through the system - Understanding data transformation pipelines - Documenting API call chains - Answering "what happens when X is called?" ## Workflow ### Step 1: Explore the Codebase Dispatch the codebase explorer agent: ``` Agent(cartograph:codebase-explorer) Prompt: Explore [scope] and return a structural model. Focus on function calls, data transformations, and inter-module communication for a data flow diagram. ``` ### Step 2: Generate Mermaid Syntax Transform the structural model into a Mermaid sequence diagram. **Rules for data flow diagrams**: - Use `sequenceDiagram` for request/response flows - Participants are modules or components (not functions) - Arrows show data direction: `->>` for calls, `-->>` for returns - Use `activate`/`deactivate` for long-running operations - Add `Note over` for data transformations - Limit to 8-10 participants maximum - Use `alt`/`else` for conditional flows - Handle circular calls by showing them once with a note **Example output**: ```mermaid sequenceDiagram participant User participant Command as /commit participant Sanctum as sanctum.commit participant Leyline as leyline.git_platform participant Git User->>Command: /commit Command->>Sanctum: generate_message() Sanctum->>Leyline: get_staged_changes() Leyline->>Git: git diff --...

Details

Author
athola
Repository
athola/claude-night-market
Created
6 months ago
Last Updated
today
Language
Python
License
MIT

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