Data Flow Diagram
SkillMonitoring & opsGenerates a Mermaid sequence diagram showing how data moves between components. Use when tracing request flows or documenting data transformation pipelines.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Data Flow Diagram skill
What this skill tells your AI
The instructions your AI receives, as published by athola/claude-night-market in plugins/cartograph/skills/data-flow/SKILL.md and read by ahel’s review.
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?"
When NOT To Use
- Static call structure (use
cartograph:call-chain) - Process steps and state transitions (use
cartograph:workflow-diagram)
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
sequenceDiagramfor request/response flows - Participants are modules or components (not functions)
- Arrows show data direction:
->>for calls,-->>for returns - Use
activate/deactivatefor long-running operations - Add
Note overfor data transformations - Limit to 8-10 participants maximum
- Use
alt/elsefor conditional flows - Handle circular calls by showing them once with a note
Example output:
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 --cached
Git-->>Leyline: diff output
Leyline-->>Sanctum: structured changes
Note over Sanctum: Classify change type
Sanctum-->>Command: commit message
Command->>Git: git commit -m "..."
Step 3: Render via MCP
Call the Mermaid Chart MCP to render:
mcp__claude_ai_Mermaid_Chart__validate_and_render_mermaid_diagram
prompt: "Data flow diagram of [scope/feature]"
mermaidCode: [generated syntax]
diagramType: "sequenceDiagram"
clientName: "claude-code"
If rendering fails, fix syntax and retry (max 2 retries).
Step 4: Present Results
Show the rendered diagram with a brief description of the flow depicted (2-3 sentences).
Exit Criteria
- Mermaid
sequenceDiagramsyntax generated with participants and at least one->>call arrow -
mcp__claude_ai_Mermaid_Chart__validate_and_render_mermaid_diagramcalled withdiagramType: "sequenceDiagram"and returns without error (or retry attempted on first failure) - Participant count is at most 10; if more components exist, they are aggregated and the aggregation noted
- A 2-3 sentence description of the depicted flow is shown alongside the rendered diagram
- Return arrows (
-->>) are present for any request that has a corresponding response in the traced flow
Signals
- GitHub stars
- 337
- Forks
- 34
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
data-flow- Source
- github.com/athola/claude-night-market