slash commands/ davila7/claude-code-templates

dependency-mapper

Map project and task dependencies with critical path analysis and circular dependency detection

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dependency-mapper.md

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Dependency Mapper

Map and analyze project dependencies with task ordering optimization: $ARGUMENTS

Current Dependency Context

  • Repository: !gh repo view --json nameWithOwner -q .nameWithOwner 2>/dev/null || echo "No repo context"
  • Project files: !find . -name "*.js" -o -name "*.ts" -o -name "*.py" | wc -l code files analyzed
  • Task tracking: Linear MCP server connectivity and task relationship data
  • Import analysis: Code dependency structure and circular dependency detection

Task

Execute comprehensive dependency analysis with optimization recommendations:

Analysis Scope: Use $ARGUMENTS to focus on task dependencies, code dependencies, circular dependency detection, or critical path analysis

Dependency Analysis Framework:

  1. Code Dependency Mapping - Extract import statements, analyze module relationships, identify coupling levels, map file interdependencies
  2. Task Relationship Analysis - Query Linear task dependencies, extract task mentions, analyze project relationships, map epic structures
  3. Dependency Graph Construction - Build comprehensive graph structure, identify dependency chains, calculate critical paths, detect bottlenecks
  4. Circular Dependency Detection - Implement cycle detection algorithms, identify problematic loops, assess impact severity, recommend resolution strategies
  5. Execution Order Optimization - Calculate topological sort, optimize task sequence, balance team capacity, minimize blocking dependencies
  6. Risk Assessment - Identify high-risk chains, assess single points of failure, evaluate dependency complexity, recommend mitigation strategies

Advanced Features: Visual dependency graphs, ASCII tree representations, impact analysis, sprint planning optimization, real-time dependency tracking.

Quality Insights: Dependency health metrics, coupling analysis, maintainability assessment, team workload distribution.

Output: Complete dependency analysis with visual representations, execution order recommendations, risk mitigation strategies, and optimization roadmap.

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