ac-feature-analyzer

Analyzes feature relationships to determine optimal build order, identify blockers, and calculate critical paths for efficient autonomous implementation.

```python

from scripts.feature_analyzer import FeatureAnalyzer

analyzer = FeatureAnalyzer(project_dir)

analysis = await analyzer.analyze()

print(analysis.critical_path)

print(analysis.next_feature)

```

```json

{

"dependency_graph": {

"auth-001": [],

"auth-002": ["auth-001"],

"api-001": ["auth-001", "data-001"]

},

"critical_path": ["data-001", "auth-001", "auth-002", "api-001"],

"blockers": {

"api-001": ["auth-001", "data-001"]

},

"categories": {

"authentication": {"total": 10, "completed": 3},

"api": {"total": 15, "completed": 0}

},

"next_features": ["data-001", "auth-003"],

"bottlenecks": ["auth-001"],

"parallel_opportunities": [

["ui-001", "ui-002", "ui-003"],

["test-001", "test-002"]

]

}

```

Dependency Analysis

• Build dependency graph
• Detect circular dependencies
• Identify missing dependencies
• Calculate dependency depth

Critical Path

• Find longest dependency chain
• Identify features that block most others
• Calculate minimum completion time
• Optimize for parallel execution

Progress Analysis

• Track completion by category
• Identify stalled areas
• Calculate velocity
• Predict completion time

Blocker Detection

• Find blocked features
• Identify blocking features
• Suggest unblocking order
• Calculate blocker impact

1. Load: Read feature list
2. Graph: Build dependency graph
3. Analyze: Calculate paths and blockers
4. Optimize: Determine optimal order
5. Report: Output analysis results

• Input: Feature list from ac-state-tracker
• Output: Analysis for ac-session-manager
• Used by: ac-complexity-assessor, orchestration skills

See scripts/feature_analyzer.py for full implementation.