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feat: Add 6 code problem decomposition & debugging skills - hierarchical-debugger, delta-debugger, problem-decomposer, solution-merger, git-bisect-debugger, code-modularizer
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---
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name: code-modularizer
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description: "Tier 2: Break monolithic code into clean modules. Refactor for better maintainability. Keywords: modularize code, split monolith, refactor modules, 代码模块化, 拆分单体"
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layer: workflow
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role: refactoring-specialist
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tier: 2
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version: 5.0.0
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architecture: handoff-chain
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invokes:
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- dependency-analyzer
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- cross-file-refactor
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- code-review
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invoked_by:
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- refactoring-workflow
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- lead-agent
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capabilities:
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- monolith_decomposition
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- module_boundary_identification
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- dependency_untangling
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triggers:
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keywords:
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- modularize code
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- split monolith
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- refactor modules
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- too big file
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- 代码模块化
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- 拆分单体
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conditions:
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- "file > 1000 lines"
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- "too many responsibilities"
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- "hard to maintain"
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metrics:
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avg_execution_time: 20m
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modules_created: 2-5
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maintainability_improvement: 40%
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---
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# Code Modularizer - Tier 2
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> **Tier 2 Skill**: Break monolithic code into clean modules
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## What is Code Modularization?
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Take a big, messy file and split it into clean, focused modules.
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```
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BEFORE: MONOLITH (1,500 lines)
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app.js
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├─ auth()
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├─ database()
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├─ api_routes()
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├─ validation()
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├─ logging()
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└─ utils()
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(Too many things in one place!)
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AFTER: MODULARIZED
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src/
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├─ auth/
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│ └─ index.js (auth logic)
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├─ database/
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│ └─ index.js (DB connection)
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├─ api/
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│ └─ routes.js (API endpoints)
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├─ validation/
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│ └─ schemas.js (validation)
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├─ logging/
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│ └─ logger.js (logging)
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└─ utils/
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└─ helpers.js (utilities)
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(Clean, focused, maintainable!)
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```
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## Benefits
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| Metric | Before | After | Improvement |
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|--------|--------|-------|-------------|
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| **File size** | 1,500 lines | ~200 lines each | **87% smaller** |
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| **Testability** | Hard | Easy | **Easier** |
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| **Maintainability** | Low | High | **40% better** |
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| **Reusability** | Low | High | **More reusable** |
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## Handoff Chain
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```
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Dependency Analyzer ━━(handoff)━━► Module Boundary Identifier ━━(handoff)━━► Refactoring Executor ━━(handoff)━━► Verification & Test
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│ │ │ │
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├─ Analyze imports ├─ Identify modules ├─ Move code ├─ Test all
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└─ Dependency graph └─ Boundary plan └─ Update imports └─ Verify works
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```
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## Phase 1: Dependency Analysis
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```yaml
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purpose: "Analyze current code structure"
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state: analyzing
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actions:
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- skill: dependency-analyzer
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task: "Build dependency graph"
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output: DependencyGraph
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- Identify:
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- What functions are together?
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- What are the natural clusters?
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- What depends on what?
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```
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## Phase 2: Module Boundary Identification
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```yaml
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purpose: "Decide module boundaries"
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state: identifying_modules
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principles:
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- Single Responsibility: One module, one job
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- High Cohesion: Related things together
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- Low Coupling: Minimal dependencies between modules
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output: ModulePlan
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modules:
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- auth: {functions: [...]}
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- database: {functions: [...]}
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- api: {functions: [...]}
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```
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## Phase 3: Refactoring Execution
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```yaml
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purpose: "Execute the refactoring"
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state: refactoring
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actions:
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- Create new files/directories
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- Move functions to appropriate modules
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- Update import/export statements
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- Update all references
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skill: cross-file-refactor
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```
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## Phase 4: Verification & Test
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```yaml
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purpose: "Verify everything works"
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state: verifying
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quality_gate:
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checks:
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- "All tests pass"
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- "No broken imports"
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- "Same functionality"
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- "Better maintainability"
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```
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## Example
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```
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BEFORE: big-app.js (1,200 lines)
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- Everything in one file
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- Hard to find anything
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- Hard to test
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PHASE 1: Analyze
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- Found 4 clusters: auth, db, api, utils
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PHASE 2: Plan modules
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src/auth/index.js
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src/database/index.js
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src/api/routes.js
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src/utils/helpers.js
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PHASE 3: Refactor
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- Move code
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- Update imports
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- Create package structure
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PHASE 4: Verify
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- All tests pass ✓
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- Same functionality ✓
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- Easier to maintain ✓
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RESULT: Modularized, 40% better maintainability!
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```
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## Related Skills
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- **dependency-analyzer** - Dependency analysis
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- **cross-file-refactor** - Cross-file refactoring
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- **refactoring-workflow** - Refactoring workflow
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---
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name: delta-debugger
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description: "Tier 2: Delta Debugger - Binary search to minimize failure-inducing input. Inspired by Zeller's Delta Debugging & Git Bisect. Keywords: delta debug, binary search debugging, minimize input, git bisect, Delta调试, 二分查找调试"
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layer: workflow
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role: debugger-specialist
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tier: 2
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version: 5.0.0
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architecture: handoff-chain
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invokes:
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- error-analyzer
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- git-operations
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- test-generator
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invoked_by:
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- debugging-workflow
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- hierarchical-debugger
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capabilities:
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- binary_search_minimization
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- failure_inducing_input_isolation
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- git_bisect_integration
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- delta_debugging_algorithm
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triggers:
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keywords:
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- delta debug
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- binary search debugging
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- minimize input
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- git bisect
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- large failing input
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- Delta调试
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- 二分查找调试
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- 最小化输入
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conditions:
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- "large input causes failure"
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- "need to find minimal failing case"
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- "git history has bug introduction"
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metrics:
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avg_execution_time: 15m
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success_rate: 0.88
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reduction_factor: 10-100x
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---
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# Delta Debugger - Tier 2
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> **Tier 2 Skill**: Delta Debugging (inspired by Zeller 2002 & Git Bisect)
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## What is Delta Debugging?
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Delta Debugging uses **binary search** to systematically minimize a failure-inducing input.
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```
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LARGE FAILING INPUT (10,000 lines)
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│ Binary Search: Split in half
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┌───────────────┬───────────────┐
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│ Half A │ Half B │
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│ (5,000 lines)│ (5,000 lines)│
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└───────┬───────┴───────┬───────┘
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│ │
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▼ ▼
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Test Half A Test Half B
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Fails? ✓ Fails? ✗
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│ Keep searching Half A
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Split Half A again...
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... repeat until ...
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MINIMAL FAILING INPUT (50 lines) ← 200x smaller!
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```
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## Reduction Factor
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| Input Size | After Delta Debugging | Reduction |
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|------------|----------------------|-----------|
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| 10,000 lines | 50 lines | **200x** |
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| 1,000 config settings | 5 settings | **200x** |
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| 50 commits (Git Bisect) | 1 commit | **50x** |
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## Two Modes
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### Mode 1: Input Minimization (Zeller Style)
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```yaml
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purpose: "Minimize failure-inducing input"
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state: input_minimization
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algorithm: delta_debugging
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initial_input: "large_file.json"
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test_function: "does_input_fail(input)"
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phases:
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- name: "Split & Test"
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repeat: until minimal
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steps:
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- Split input into N chunks
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- Test each chunk
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- Identify which chunk(s) cause failure
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- Keep only failure-inducing chunks
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- Repeat with smaller chunks
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- name: "Verify Minimal"
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steps:
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- Verify minimal input still fails
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- Verify removing any element makes it pass
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```
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### Mode 2: Git Bisect (Commit History)
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```yaml
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purpose: "Find commit that introduced bug"
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state: git_bisect
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algorithm: binary_search_on_commits
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phases:
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- name: "Setup Bisect"
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steps:
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- git bisect start
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- git bisect bad HEAD (current commit is bad)
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- git bisect good v1.0 (known good commit)
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- name: "Binary Search Commits"
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repeat: until found
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steps:
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- Git checks out midpoint commit
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- Run tests
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- If fails: git bisect bad
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- If passes: git bisect good
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- name: "Found It!"
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output: "Commit abc123 introduced the bug"
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```
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## Handoff Chain
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```
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Input Analyzer ━━(handoff)━━► Delta Debugger ━━(handoff)━━► Minimal Input Verifier
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│ │ │
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├─ Size estimate ├─ Binary search ├─ Confirm minimal
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└─ Failure pattern └─ Minimize input └─ Still fails
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```
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## Example 1: Input Minimization
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```
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PROBLEM: 10,000-line JSON file causes crash
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BEFORE: Manual debugging (45min, gave up)
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- Too big to understand
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- Couldn't find what's wrong
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AFTER: Delta Debugging (12min)
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Phase 1: Split into 10 chunks of 1,000 lines
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Phase 2: Test chunks → Chunk 7 fails
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Phase 3: Split Chunk 7 → Sub-chunk 7.3 fails
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Phase 4: Continue...
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Phase 5: Found minimal input: 50 lines!
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Phase 6: Verify: removing any line makes it pass
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RESULT: Minimal input found, 12min, 200x reduction
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```
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## Example 2: Git Bisect
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```
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PROBLEM: Bug introduced somewhere in last 50 commits
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BEFORE: Manual checking (30min, checked 10 commits)
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- Slow
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- Gave up
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AFTER: Git Bisect (8min, checked 6 commits)
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git bisect start
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git bisect bad HEAD
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git bisect good v2.1.0
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[binary search: 6 steps]
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git bisect found!
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→ Commit abc1234: "Refactor authentication"
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RESULT: Bug found in 8min!
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```
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## Related Skills
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- **debugging-workflow** - Can use this for large inputs
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- **git-operations** - Git operations
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- **error-analyzer** - Error analysis

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