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ac-complexity-assessor
GitHub用于评估功能和项目复杂度，辅助估算工作量、选择处理流水线（简单/标准/复杂）、计算成本及规划资源分配。通过分析特性数量、依赖深度和技术栈等因素输出详细评估报告。
Trigger Scenarios
估算开发工作量
确定规格说明书处理流水线类型
计算项目成本预估
规划资源分配
Install
npx skills add NeverSight/learn-skills.dev --skill ac-complexity-assessor -g -y
SKILL.md
Frontmatter
{
"name": "ac-complexity-assessor",
"description": "Assess feature and project complexity. Use when estimating effort, determining spec pipeline type, calculating cost estimates, or planning resource allocation."
}
AC Complexity Assessor
Assess complexity for effort estimation and planning.
Purpose
Analyzes features and projects to determine complexity levels, estimate effort, and select appropriate processing pipelines.
Quick Start
from scripts.complexity_assessor import ComplexityAssessor
assessor = ComplexityAssessor(project_dir)
assessment = await assessor.assess_project()
print(assessment.pipeline_type) # SIMPLE/STANDARD/COMPLEX
print(assessment.estimated_hours)
Assessment Output
{
"project_complexity": "STANDARD",
"pipeline_type": "STANDARD",
"metrics": {
"total_features": 75,
"dependency_depth": 4,
"category_count": 8,
"integration_points": 5,
"technology_complexity": 3
},
"estimates": {
"total_hours": 120,
"estimated_cost_usd": 45.00,
"estimated_sessions": 15,
"features_per_session": 5
},
"feature_estimates": [
{
"id": "auth-001",
"complexity": "low",
"estimated_hours": 1.5,
"factors": ["standard_pattern", "no_dependencies"]
}
],
"recommendations": [
"Consider parallelizing UI features",
"auth-003 may need more time due to OAuth"
]
}
Complexity Levels
SIMPLE (1-3 phases)
- < 20 features
- Shallow dependencies (depth < 2)
- Single technology
- No external integrations
STANDARD (7 phases)
- 20-100 features
- Moderate dependencies (depth 2-5)
- 2-3 technologies
- Limited integrations
COMPLEX (8+ phases)
-
100 features
- Deep dependencies (depth > 5)
- Multiple technologies
- Many integrations
Complexity Factors
Feature Complexity
- Implementation difficulty
- Test complexity
- Documentation needs
- Integration requirements
Project Complexity
- Total feature count
- Dependency graph depth
- Technology stack breadth
- External integrations
Risk Factors
- Unfamiliar technologies
- Complex algorithms
- Security requirements
- Performance constraints
Pipeline Selection
SIMPLE Pipeline:
1. Plan → 2. Implement → 3. Verify
STANDARD Pipeline:
1. Analyze → 2. Plan → 3. Test Design
4. Implement → 5. Test → 6. Review → 7. Verify
COMPLEX Pipeline:
1. Deep Analyze → 2. Architecture → 3. Plan
4. Test Design → 5. Implement → 6. Test
7. Integration → 8. Review → 9. Verify
Cost Estimation
cost = (features * avg_tokens_per_feature * cost_per_token)
+ (sessions * session_overhead)
+ (complexity_multiplier * base_cost)
API Reference
See scripts/complexity_assessor.py for full implementation.
Version History
- e0220ca Current 2026-07-05 23:05
