Analyzes task/feature complexity (1-10) and recommends subtask breakdown for planning and prioritization. Provides actionable recommendations for agent selection, phase distribution, and risk assessment. Silent analysis that feeds into other workflows.
Scanned 9/2/2026
Install to Claude Code
npx -y skills add majiayu000/claude-skill-registry --skill pop-complexity-analyzer-jrc1883-popkit-claude-2 --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: complexity-analyzer
description: "Analyzes task/feature complexity (1-10) and recommends subtask breakdown for planning and prioritization. Provides actionable recommendations for agent selection, phase distribution, and risk assessment. Silent analysis that feeds into other workflows."
inputs:
- from: any
field: task_description
required: true
- from: any
field: metadata
required: false
outputs:
- field: complexity_score
type: number
- field: recommended_subtasks
type: number
- field: phase_distribution
type: object
- field: analysis_report
type: file_path
next_skills:
- pop-writing-plans
- pop-brainstorming
- pop-executing-plans
workflow:
id: complexity-analysis
name: Complexity Analysis Workflow
version: 1
description: Analyze task complexity and provide recommendations
steps:
- id: extract_context
description: Extract task description and metadata
type: analysis
next: calculate_complexity
- id: calculate_complexity
description: Calculate complexity score and factors
type: analysis
next: generate_recommendations
- id: generate_recommendations
description: Generate subtask and phase recommendations
type: analysis
next: output_results
- id: output_results
description: Output analysis results
type: output
next: complete
- id: complete
description: Analysis complete
type: terminal
---
# Complexity Analysis Engine
## Overview
Analyzes task and feature complexity using multiple factors to provide 1-10 scoring with actionable recommendations. This is a **foundational skill** used by other PopKit workflows.
**Automatic integration:** This skill is automatically invoked by planning workflows, PRD parsers, and agent routers. It operates silently in the background to provide complexity intelligence.
## Complexity Scoring (1-10)
| Score | Level | Description | Example |
| ----- | ------------ | --------------------------------- | ----------------------------------- |
| 1-2 | Trivial | Single file, minimal changes | Fix typo, update constant |
| 3-4 | Simple | Few files, straightforward logic | Add button, update styling |
| 5-6 | Moderate | Multiple files, some complexity | Add form validation, API endpoint |
| 7-8 | Complex | Architecture changes, high impact | Refactor module, add auth system |
| 9-10 | Very Complex | System-wide changes, high risk | Migrate architecture, redesign core |
## Complexity Factors
The analyzer evaluates 8 factors with configurable weights:
| Factor | Weight | Description |
| ------------------- | ------ | --------------------------------- |
| Files Affected | 15% | Number of files that need changes |
| LOC Estimate | 15% | Estimated lines of code |
| Dependencies | 15% | External/internal dependencies |
| Architecture Change | 20% | Impact on system architecture |
| Breaking Changes | 15% | Compatibility impact |
| Testing Complexity | 10% | Testing requirements |
| Security Impact | 5% | Security considerations |
| Integration Points | 5% | External integrations |
## Usage Patterns
### 1. Automatic Analysis (Preferred)
Complexity analysis is automatically performed when you use development workflows:
```bash
/popkit:dev "Add user authentication"
# Automatically analyzes complexity
# Displays: "Analyzing complexity... Score: 7/10 (Complex)"
# Recommends: "5-7 subtasks suggested"
# Selects appropriate agents based on complexity
```
### 2. Explicit Analysis
```bash
/popkit:dev analyze "Refactor database layer"
```
### 3. From Skills (Python)
```python
from popkit_shared.utils.complexity_scoring import analyze_complexity
# Analyze a task
result = analyze_complexity(
"Add real-time notifications with WebSockets",
metadata={
"files_affected": 8,
"dependencies": 5
}
)
# Access results
score = result["complexity_score"] # 7
subtasks = result["recommended_subtasks"] # 6
phases = result["phase_distribution"] # {"planning": 2, "implementation": 4, ...}
risks = result["risk_factors"] # ["integration_complexity", "architecture_impact"]
agents = result["suggested_agents"] # ["code-architect", "refactoring-expert"]
```
### 4. Integration with Skill Context
```python
from popkit_shared.utils.skill_context import save_skill_context, SkillOutput
from popkit_shared.utils.complexity_scoring import analyze_complexity
# Analyze complexity
result = analyze_complexity(task_description)
# Save for downstream skills
save_skill_context(SkillOutput(
skill_name="pop-complexity-analyzer",
status="completed",
output={
"complexity_score": result["complexity_score"],
"recommended_subtasks": result["recommended_subtasks"],
"phase_distribution": result["phase_distribution"],
"risk_factors": result["risk_factors"],
"suggested_agents": result["suggested_agents"]
},
artifacts=[],
next_suggested="pop-writing-plans"
))
```
## Output Format
```json
{
"complexity_score": 7,
"complexity_level": "COMPLEX",
"recommended_subtasks": 6,
"phase_distribution": {
"discovery": 1,
"planning": 2,
"implementation": 4,
"testing": 2,
"review": 1,
"integration": 1
},
"risk_factors": ["architecture_impact", "security_critical"],
"reasoning": "Complexity Score: 7/10 (Architecture changes, high impact)...",
"suggested_agents": ["code-architect", "refactoring-expert", "security-auditor"]
}
```
## Integration Points
### 1. Agent Router
```python
from popkit_shared.utils.complexity_scoring import quick_score
task = "Refactor authentication module"
complexity = quick_score(task)
if complexity >= 8:
agent = "code-architect" # Senior agent for complex tasks
elif complexity >= 5:
agent = "refactoring-expert"
else:
agent = "rapid-prototyper"
```
### 2. PRD Parser
```python
features = parse_prd(document)
for feature in features:
complexity = analyze_complexity(feature.description)
feature.complexity_score = complexity["complexity_score"]
feature.subtasks_recommended = complexity["recommended_subtasks"]
# Sort by complexity (tackle simple features first)
features.sort(key=lambda f: f.complexity_score)
```
### 3. Planning Workflows
```python
complexity_result = analyze_complexity(task_description)
score = complexity_result["complexity_score"]
if score <= 4:
workflow = "quick_mode" # 5 steps
elif score <= 7:
workflow = "standard_mode" # 7 phases
else:
workflow = "full_mode_with_architecture"
```
## Subtask Recommendations
| Complexity | Subtasks | Strategy |
| ---------- | -------- | ------------------- |
| 1-2 | 1 | Single task |
| 3-4 | 2-3 | Simple breakdown |
| 5-6 | 3-5 | Moderate breakdown |
| 7-8 | 5-7 | Detailed breakdown |
| 9-10 | 8-12 | Extensive breakdown |
## Phase Distribution
**Trivial (1-2):** Implementation: 1, Testing: 1
**Simple (3-4):** Planning: 1, Implementation: 2, Testing: 1
**Moderate (5-6):** Planning: 1, Implementation: 3, Testing: 2, Review: 1
**Complex (7-8):** Discovery: 1, Planning: 2, Implementation: 4, Testing: 2, Review: 1, Integration: 1
**Very Complex (9-10):** Discovery: 2, Architecture: 2, Planning: 3, Implementation: 5, Testing: 3, Review: 2, Integration: 2, Documentation: 1
## Risk Factor Detection
| Risk Factor | Trigger | Impact |
| ---------------------- | ------------------------ | ---------------------- |
| breaking_changes | Breaking change keywords | Compatibility issues |
| security_critical | Auth/security keywords | Security review needed |
| architecture_impact | Architecture keywords | Design review required |
| integration_complexity | Integration keywords | External coordination |
| performance_sensitive | Performance keywords | Performance testing |
| data_migration | Migration keywords | Data safety concerns |
## Agent Recommendations
| Complexity | Suggested Agents |
| ---------- | ------------------------------------------------------------ |
| 1-3 | rapid-prototyper, code-explorer |
| 4-6 | refactoring-expert, code-explorer, test-writer |
| 7-8 | code-architect, refactoring-expert, security-auditor |
| 9-10 | code-architect, system-designer, tech-lead, security-auditor |
## Keyword Detection
**Architecture:** architecture, refactor, redesign, restructure, migrate
**Breaking Changes:** breaking, incompatible, migration, deprecated
**Security:** auth, authentication, authorization, security, crypto, encryption
**Integration:** integrate, api, webhook, third-party, external
**Database:** database, schema, migration, query, index
**Testing:** e2e, integration test, test coverage, regression
## Best Practices
1. **Automatic by Default:** Let workflows invoke complexity analysis automatically
2. **Trust the Score:** Complexity scores are calibrated for accuracy
3. **Use Recommendations:** Follow subtask and phase recommendations
4. **Monitor Risks:** Pay attention to identified risk factors
5. **Right-Size Agents:** Use suggested agents for better results
6. **Iterate if Needed:** Re-analyze after scope changes
## Related Skills
- `pop-writing-plans` - Uses complexity for plan generation
- `pop-brainstorming` - Uses complexity to determine depth
- `pop-executing-plans` - Uses complexity for batch sizing
## Related Commands
- `/popkit:dev` - Automatic complexity analysis
- `/popkit:issue` - Complexity-based prioritization
- `/popkit:milestone` - Aggregate complexity reporting
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