activation_code: COUPLING_ANALYSIS_V1 phase: 5.2 prerequisites:

• tasks.json outputs:
• .signals/coupling-analyzed.json optional: true description: | OPTIONAL: Analyzes TaskMaster subtasks to determine if they are tightly coupled (share code/models) or loosely coupled (independent modules). This analysis provides RECOMMENDATIONS for implementation order only - it does NOT affect proposal creation.

All proposals are created 1-per-subtask regardless of coupling. Coupling analysis only recommends whether to implement proposals sequentially (tight coupling) or in parallel (loose coupling) to avoid merge conflicts.

Activation trigger: [ACTIVATE:COUPLING_ANALYSIS_V1] (optional)

Coupling Analysis Skill

Activation Method

This skill activates when the hook system injects the codeword:

[ACTIVATE:COUPLING_ANALYSIS_V1]

This occurs when:

• tasks.json is created (automatic transition from Phase 5)
• User runs 'task-master show' command
• User asks about task coupling or parallelization
• Preparing for Phase 6 (OpenSpec generation)

Worktree Isolation Requirements

CRITICAL: This skill MUST operate in a dedicated worktree phase-5-task-2 for coupling analysis:

# Before skill activation:
./lib/worktree-manager.sh create 5 2
cd ./worktrees/phase-5-task-2

# Validate isolation:
./hooks/worktree-enforcer.sh enforce

# Coupling analysis with worktree validation

Worktree Safety Measures

1. Read-only analysis: No modifications to source code during analysis
2. Isolated output: Coupling results stored within worktree boundaries
3. Merge validation: Results merged to main only after validation
4. Contamination prevention: No cross-worktree analysis dependencies

What This Skill Does (OPTIONAL - Informational Only)

Automatically analyzes subtask structure to provide implementation order recommendations:

• Tightly Coupled → Implement proposals sequentially (prevent merge conflicts)
• Loosely Coupled → Implement proposals in parallel (safe for 3-4x speedup)
• Clear rationale with file paths and shared resource analysis
• IMPORTANT: Does NOT affect proposal creation (always 1 proposal per subtask)
• IMPORTANT: Only provides implementation hints for Phase 7
• NEW: Worktree-based isolation for safe analysis

1. Analyzes Subtask Structure

Examines:

• Task title and description
• Subtask descriptions (if any)
• File paths mentioned
• Architecture components
• Dependencies between subtasks
• Shared resources (models, utilities, services)

2. Determines Coupling Type (For Implementation Order)

ALL subtasks get 1 proposal each. Coupling only affects implementation order:

TIGHTLY COUPLED

Subtasks share significant code/data structures
→ Proposals: ONE per subtask (standard)
→ Implementation Recommendation: Sequential
→ Reason: Prevent merge conflicts on shared code

Indicators:

• Share same model/class (e.g., User, Product, Order)
• Modify same files
• Use same database tables
• Share utility functions
• Sequential dependencies (2.1 → 2.2 → 2.3)
• Common business logic

Example:

• Master Task: User Authentication (3 subtasks)
• All modify User.ts model
• Create 3 proposals, implement sequentially (avoid conflicts)

LOOSELY COUPLED

Subtasks are independent modules
→ Proposals: ONE per subtask (standard)
→ Implementation Recommendation: Parallel
→ Reason: Safe to implement simultaneously (3-4x speedup)

Indicators:

• Touch completely different files
• No shared models/classes
• Independent test suites
• No dependencies between subtasks
• Different architecture components
• Can be tested in isolation

Example:

• Master Task: API Endpoints (3 subtasks)
• Each touches different controller file
• Create 3 proposals, implement in parallel (safe speedup)

3. Provides Recommendation

Output Format:

COUPLING ANALYSIS: Task #[X] - [Title]
==================================================

SUBTASKS: [count]
├─ [X.1]: [title]
├─ [X.2]: [title]
└─ [X.3]: [title]

SHARED RESOURCES:
[List shared models, files, utilities]
OR
[None - completely independent]

COUPLING TYPE: [TIGHTLY COUPLED / LOOSELY COUPLED / NO SUBTASKS]

RATIONALE:
[1-2 sentence explanation of why]

PROPOSAL CREATION (Standard):
├─ OpenSpec Proposals: ONE per subtask (always)
└─ Proposal Name(s): [suggest names]

RECOMMENDED IMPLEMENTATION ORDER:
├─ Strategy: [Sequential / Parallel]
├─ Reason: [Prevent conflicts / Safe speedup]
└─ Estimated Time: [time estimate]

IMPLEMENTATION IMPACT:
├─ Sequential: [X] minutes total
└─ Parallel (if loosely coupled): [Y] minutes total

Analysis Decision Tree

START: Analyze Task #X
│
├─ Has subtasks?
│  ├─ NO → "NO SUBTASKS" → One proposal
│  └─ YES → Continue
│
├─ Check: Same model/class mentioned?
│  ├─ YES → "TIGHTLY COUPLED" → One proposal
│  └─ NO → Continue
│
├─ Check: Same files modified?
│  ├─ YES → "TIGHTLY COUPLED" → One proposal
│  └─ NO → Continue
│
├─ Check: Sequential dependencies?
│  ├─ YES → "TIGHTLY COUPLED" → One proposal
│  └─ NO → Continue
│
├─ Check: Share utilities/services?
│  ├─ YES → "TIGHTLY COUPLED" → One proposal
│  └─ NO → Continue
│
└─ All checks passed
   → "LOOSELY COUPLED" → One proposal per subtask

Pattern Recognition

Pattern 1: CRUD Operations on Same Entity

Task: Implement User Management
├─ 3.1: Create user endpoint
├─ 3.2: Update user endpoint
├─ 3.3: Delete user endpoint
└─ 3.4: Get user endpoint

Analysis: All share User model
Result: TIGHTLY COUPLED
Proposal: One proposal "user-management" with 4 requirements

Pattern 2: Authentication Features

Task: User Authentication
├─ 3.1: Create user model
├─ 3.2: Registration endpoint
├─ 3.3: Login endpoint
└─ 3.4: JWT middleware

Analysis: All depend on User model created in 3.1
Result: TIGHTLY COUPLED
Proposal: One proposal "user-authentication"

Pattern 3: Independent API Refactors

Task: Refactor API Endpoints
├─ 5.1: Refactor users endpoint (src/api/users.js)
├─ 5.2: Refactor products endpoint (src/api/products.js)
└─ 5.3: Refactor orders endpoint (src/api/orders.js)

Analysis: Different files, no shared code
Result: LOOSELY COUPLED
Proposals: 
  - refactor-users-endpoint
  - refactor-products-endpoint
  - refactor-orders-endpoint

Pattern 4: Independent Service Integrations

Task: External Service Integrations
├─ 7.1: Stripe payment integration
├─ 7.2: SendGrid email integration
├─ 7.3: Twilio SMS integration

Analysis: Completely independent services
Result: LOOSELY COUPLED
Proposals:
  - stripe-payment-integration
  - sendgrid-email-integration
  - twilio-sms-integration

Pattern 5: UI Components with Shared State

Task: Shopping Cart UI
├─ 4.1: Cart display component
├─ 4.2: Add to cart button
├─ 4.3: Remove from cart button
└─ 4.4: Cart state management

Analysis: All share CartState, CartContext
Result: TIGHTLY COUPLED
Proposal: One proposal "shopping-cart-ui"

File Path Analysis

Extract file paths from task descriptions:

Tightly Coupled Example:

Subtasks mention:
- src/models/User.js (shared)
- src/services/auth.service.js (uses User)
- src/controllers/auth.controller.js (uses User)
- src/middleware/auth.middleware.js (uses User)

Result: TIGHTLY COUPLED (all need User model)

Loosely Coupled Example:

Subtasks mention:
- src/api/users.js (independent)
- src/api/products.js (independent)
- src/api/orders.js (independent)

Result: LOOSELY COUPLED (no overlap)

Parallelization Benefit Calculator

When LOOSELY COUPLED:

Sequential Time = Subtask1_Time + Subtask2_Time + Subtask3_Time
Parallel Time = MAX(Subtask1_Time, Subtask2_Time, Subtask3_Time)

Example:
├─ Subtask 1: 30 minutes
├─ Subtask 2: 30 minutes
└─ Subtask 3: 30 minutes

Sequential: 90 minutes
Parallel: 30 minutes (3x faster!)

Include in analysis output:

PARALLELIZATION BENEFIT:
├─ Sequential: 90 minutes
├─ Parallel: 30 minutes
└─ Speedup: 3x faster

Edge Cases

Edge Case 1: Mixed Coupling

Task: User Profile Features
├─ 6.1: Profile CRUD (uses User model)
├─ 6.2: Avatar upload (uses User model)
├─ 6.3: Email preferences (independent settings)
└─ 6.4: Notification preferences (independent settings)

Analysis: Subtasks 6.1-6.2 tightly coupled, 6.3-6.4 loosely coupled

Recommendation:
├─ Split task into two groups
├─ Group A (6.1-6.2): One proposal "user-profile-core"
└─ Group B (6.3-6.4): Separate proposals or combined "user-preferences"

Alternative: Keep as one proposal with 4 requirements
(Preference: Keep together if ≤4 subtasks)

Edge Case 2: Ambiguous Task

Task: Implement Dashboard
├─ 8.1: Create dashboard component
├─ 8.2: Add charts
├─ 8.3: Add data tables

Analysis: Unclear if components share state

Recommendation:
├─ Default to TIGHTLY COUPLED (safer)
├─ Reason: UI components often share context/state
└─ Can refactor later if truly independent

Edge Case 3: No Subtask Descriptions

Task: Complex Feature
├─ 10.1: [No description]
├─ 10.2: [No description]
└─ 10.3: [No description]

Analysis: Cannot determine coupling from titles alone

Recommendation:
├─ Request more details from TaskMaster
├─ Run: task-master show 10.1, 10.2, 10.3
├─ If still unclear: Default to TIGHTLY COUPLED
└─ Reason: Prefer cohesion over premature splitting

Output Examples

Example 1: Tightly Coupled

COUPLING ANALYSIS: Task #3 - User Authentication
==================================================

SUBTASKS: 4
├─ 3.1: Create user data model with password hashing
├─ 3.2: Implement registration endpoint with validation
├─ 3.3: Implement login endpoint with JWT generation
└─ 3.4: Create JWT validation middleware

SHARED RESOURCES:
├─ User model (src/models/User.js)
├─ AuthService (src/services/auth.service.js)
├─ JWT utilities (src/utils/jwt.utils.js)
└─ Database: users table

COUPLING TYPE: TIGHTLY COUPLED

RATIONALE:
All subtasks depend on the User model created in 3.1 and share
authentication utilities. Sequential implementation ensures consistency
in password hashing, JWT generation, and validation logic.

RECOMMENDED STRATEGY:
├─ OpenSpec Proposals: ONE proposal covering all subtasks
├─ Proposal Name: user-authentication
├─ Implementation: Sequential (maintain coherence)
└─ Estimated Time: 60-90 minutes total

PROPOSAL STRUCTURE:
user-authentication.md
├─ Requirement 1: User Data Model (TM 3.1)
├─ Requirement 2: Registration Endpoint (TM 3.2)
├─ Requirement 3: Login Endpoint (TM 3.3)
└─ Requirement 4: JWT Middleware (TM 3.4)

Example 2: Loosely Coupled

COUPLING ANALYSIS: Task #5 - Refactor API Endpoints
==================================================

SUBTASKS: 3
├─ 5.1: Refactor users endpoint (src/api/users.js)
├─ 5.2: Refactor products endpoint (src/api/products.js)
└─ 5.3: Refactor orders endpoint (src/api/orders.js)

SHARED RESOURCES:
None - each subtask touches completely different files

COUPLING TYPE: LOOSELY COUPLED

RATIONALE:
Each subtask refactors a different API endpoint in a separate file
with no shared dependencies. They can be developed, tested, and
merged independently with zero conflicts.

RECOMMENDED STRATEGY:
├─ OpenSpec Proposals: THREE proposals (one per subtask)
├─ Proposal Names:
│  ├─ refactor-users-endpoint (TM 5.1)
│  ├─ refactor-products-endpoint (TM 5.2)
│  └─ refactor-orders-endpoint (TM 5.3)
├─ Implementation: PARALLEL (3x speedup!)
└─ Estimated Time: 30 minutes parallel (vs 90 sequential)

PARALLELIZATION BENEFIT:
├─ Sequential: 90 minutes (30 min × 3)
├─ Parallel: 30 minutes (3 simultaneous work streams)
└─ Speedup: 3x faster!

IMPLEMENTATION APPROACH:
Use Prompt 3C (Parallel Implementation):
├─ Create 3 git worktrees
├─ Launch 3 Claude Code instances
└─ Implement simultaneously

Example 3: No Subtasks

COUPLING ANALYSIS: Task #2 - Configure Testing Framework
==================================================

SUBTASKS: None (single atomic task)

COUPLING TYPE: NO SUBTASKS

RATIONALE:
Single atomic task with no decomposition needed.

RECOMMENDED STRATEGY:
├─ OpenSpec Proposals: ONE proposal (or skip OpenSpec)
├─ Proposal Name: testing-framework-setup (optional)
├─ Implementation: Direct implementation
└─ Estimated Time: 15-20 minutes

NOTE: For simple setup tasks, OpenSpec proposal may be optional.
Task description and acceptance criteria may be sufficient.

Integration with Phase 2 Workflow

Phase 2 Step 1 Enhancement:

# Original workflow:
task-master show 3

# With Coupling Analysis Skill active:
task-master show 3
# ↓ Skill automatically activates
# ↓ Analyzes task structure
# ↓ Provides coupling analysis

COUPLING ANALYSIS: Task #3 - [Title]
[Complete analysis as shown above]

# User receives recommendation immediately
# Can proceed with confidence to Step 2

Common Mistakes to Avoid

❌ Mistake 1: Over-Splitting Tightly Coupled Tasks

Problem: Creating separate proposals for subtasks that share User model
Result: Inconsistent implementation, duplicate code, merge conflicts

Correct: One proposal with multiple requirements

❌ Mistake 2: Under-Splitting Loosely Coupled Tasks

Problem: One large proposal for completely independent refactors
Result: Sequential implementation, 3x slower, missed parallelization

Correct: Separate proposals, parallel implementation

❌ Mistake 3: Ignoring File Paths

Problem: Not reading file paths in task descriptions
Result: Wrong coupling decision

Correct: Extract and analyze file paths as primary indicator

❌ Mistake 4: Defaulting to "One Proposal Always"

Problem: Never recommending loosely coupled strategy
Result: Never leveraging parallelization benefits

Correct: Actively look for parallelization opportunities

Confidence Levels

Output confidence indicator:

CONFIDENCE: HIGH
├─ Clear file paths specified
├─ Explicit shared resources mentioned
└─ Obvious dependencies

CONFIDENCE: MEDIUM
├─ Some ambiguity in descriptions
├─ File paths not all specified
└─ Recommend default to tightly coupled

CONFIDENCE: LOW
├─ Insufficient information
├─ No file paths or shared resources mentioned
└─ Request more details or default to tightly coupled

Success Metrics

When this skill works well:

• ✅ 95%+ accuracy in coupling detection
• ✅ Enables 3-4x speedup for loosely coupled tasks
• ✅ Prevents merge conflicts from wrong splits
• ✅ Reduces developer decision fatigue
• ✅ Consistent proposal strategy across batches

CRITICAL: Automatic Phase Transition

DO NOT ASK THE USER FOR PERMISSION TO PROCEED.

When coupling analysis is complete, you MUST:

1. Output the completion signal:

   ✅ COUPLING ANALYSIS COMPLETE
   [SIGNAL:PHASE5_START]
   

2. IMMEDIATELY proceed to task decomposition by outputting:

   [ACTIVATE:TASK_DECOMPOSER_V1]
   

3. Begin task decomposition without waiting for user input.

The pipeline is fully autonomous. Do not ask "Would you like to proceed?" - just proceed.

See Also

• /examples/tightly-coupled-examples.md - 10 real examples
• /examples/loosely-coupled-examples.md - 10 real examples
• /examples/edge-cases.md - How to handle ambiguous cases