Dependency Mapper
Map project and task dependencies with critical path analysis and circular dependency detection
npx claude-code-templates@latest --command team/dependency-mapper Scanned by NVIDIA SkillSpector
Automated static analysis (no LLM) · v2.12.0 · 2026-10-23
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Content
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 -lcode 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:
- Code Dependency Mapping - Extract import statements, analyze module relationships, identify coupling levels, map file interdependencies
- Task Relationship Analysis - Query Linear task dependencies, extract task mentions, analyze project relationships, map epic structures
- Dependency Graph Construction - Build comprehensive graph structure, identify dependency chains, calculate critical paths, detect bottlenecks
- Circular Dependency Detection - Implement cycle detection algorithms, identify problematic loops, assess impact severity, recommend resolution strategies
- Execution Order Optimization - Calculate topological sort, optimize task sequence, balance team capacity, minimize blocking dependencies
- 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.