Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
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Generates a Mermaid dependency graph showing import relationships between modules. Use when analyzing coupling, finding circular deps, or planning refactors.
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See how to installReview the instructions the agent will receive before you install.
Generate a Mermaid flowchart showing import and dependency relationships between modules, packages, or plugins.
cartograph:call-chain)cartograph:class-diagram)Dispatch the codebase explorer agent:
Agent(cartograph:codebase-explorer)
Prompt: Explore [scope] and return a structural model.
Focus on import statements and cross-module dependencies
for a dependency graph. Track both internal and external
imports.
Transform the structural model into a Mermaid flowchart with directed edges representing dependencies.
Rules for dependency graphs:
flowchart LR (left-right) for dependency direction-.->) for external/optional deps==>) for critical path dependenciesExample output:
flowchart LR
subgraph sanctum[Sanctum]
commit[commit]
pr_prep[pr_prep]
workspace[workspace]
end
subgraph leyline[Leyline]
git[git_platform]
errors[error_patterns]
end
subgraph external[External]
subprocess[subprocess]
json[json]
end
commit --> git
commit --> json
pr_prep --> workspace
pr_prep --> git
workspace --> errors
workspace -.-> subprocess
Call the Mermaid Chart MCP to render:
mcp__claude_ai_Mermaid_Chart__validate_and_render_mermaid_diagram
prompt: "Dependency graph of [scope]"
mermaidCode: [generated syntax]
diagramType: "flowchart"
clientName: "claude-code"
If rendering fails, fix syntax and retry (max 2 retries).
Show the rendered diagram with analysis notes:
flowchart LR syntax generated with directed edges
from dependent to dependency (A --> B means "A depends on B")mcp__claude_ai_Mermaid_Chart__validate_and_render_mermaid_diagram
called and returns without error-.->) distinct from
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Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
The English summary is being prepared. Showing the original description.
Inverts burden of proof for code additions. Use when reviewing PRs, planning refactors, or running unbloat to challenge every addition's necessity.
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Tracks per-agent token usage and flags waste in parallel dispatch. Use when evaluating parallel agent efficiency or after a multi-agent run.
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Coordinates Claude agent teams via filesystem protocol. Use when orchestrating parallel agents with task dependencies. Do not use for single-agent tasks.
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Evaluates API surface design, consistency, and exemplar alignment. Use when reviewing public API changes or before releasing a new API surface.
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Selects architecture paradigm via research before scaffolding. Use when architecture is undecided and the choice needs justification and documentation.
The English summary is being prepared. Showing the original description.