/analyze-complexity
Analyze task complexity and generate expansion recommendations.
> /plugin marketplace add eyaltoledano/claude-task-master > /plugin install taskmaster@taskmaster
How it fires
How this command gets triggered: by you, by Claude, or both.
- Fires itselfClaude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/analyze-complexity
Context preview
What this command does when you run it.
Analyze task complexity and generate expansion recommendations.
Command definition
analyze-complexity.mdAnalyze task complexity and generate expansion recommendations.
Arguments: $ARGUMENTS
Perform deep analysis of task complexity across the project.
Complexity Analysis
Uses AI to analyze tasks and recommend which ones need breakdown.
Execution Options
task-master analyze-complexity [--research] [--threshold=5]
Analysis Parameters
- `--research` → Use research AI for deeper analysis
- `--threshold=5` → Only flag tasks above complexity 5
- Default: Analyze all pending tasks
Analysis Process
1. **Task Evaluation**
For each task, AI evaluates:
- Technical complexity
- Time requirements
- Dependency complexity
- Risk factors
- Knowledge requirements
2. **Complexity Scoring**
Assigns score 1-10 based on:
- Implementation difficulty
- Integration challenges
- Testing requirements
- Unknown factors
- Technical debt risk
3. **Recommendations**
For complex tasks:
- Suggest expansion approach
- Recommend subtask breakdown
- Identify risk areas
- Propose mitigation strategies
Smart Analysis Features
1. **Pattern Recognition**
- Similar task comparisons
- Historical complexity accuracy
- Team velocity consideration
- Technology stack factors
2. **Contextual Factors**
- Team expertise
- Available resources
- Timeline constraints
- Business criticality
3. **Risk Assessment**
- Technical risks
- Timeline risks
- Dependency risks
- Knowledge gaps
Output Format
Task Complexity Analysis Report
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
High Complexity Tasks (>7):
📍 #5 "Implement real-time sync" - Score: 9/10
Factors: WebSocket complexity, state management, conflict resolution
Recommendation: Expand into 5-7 subtasks
Risks: Performance, data consistency
📍 #12 "Migrate database schema" - Score: 8/10
Factors: Data migration, zero downtime, rollback strategy
Recommendation: Expand into 4-5 subtasks
Risks: Data loss, downtime
Medium Complexity Tasks (5-7):
📍 #23 "Add export functionality" - Score: 6/10
Consider expansion if timeline tight
Low Complexity Tasks (<5):
✅ 15 tasks - No expansion needed
Summary:
- Expand immediately: 2 tasks
- Consider expanding: 5 tasks
- Keep as-is: 15 tasks
Actionable Output
For each high-complexity task: 1. Complexity score with reasoning 2. Specific expansion suggestions 3. Risk mitigation approaches 4. Recommended subtask structure
Integration
Results are:
- Saved to `.taskmaster/reports/complexity-analysis.md`
- Used by expand command
- Inform sprint planning
- Guide resource allocation
Next Steps
After analysis:
/taskmaster:expand 5 # Expand specific task
/taskmaster:expand-all # Expand all recommended
/taskmaster:complexity-report # View detailed report
Read more
Analyze task complexity and generate expansion recommendations.
Arguments: $ARGUMENTS
Perform deep analysis of task complexity across the project.
Complexity Analysis
Uses AI to analyze tasks and recommend which ones need breakdown.
Execution Options
task-master analyze-complexity [--research] [--threshold=5]
Analysis Parameters
- `--research` → Use research AI for deeper analysis
- `--threshold=5` → Only flag tasks above complexity 5
- Default: Analyze all pending tasks
Analysis Process
1. **Task Evaluation**
For each task, AI evaluates:
- Technical complexity
- Time requirements
- Dependency complexity
- Risk factors
- Knowledge requirements
2. **Complexity Scoring**
Assigns score 1-10 based on:
- Implementation difficulty
- Integration challenges
- Testing requirements
- Unknown factors
- Technical debt risk
3. **Recommendations**
For complex tasks:
- Suggest expansion approach
- Recommend subtask breakdown
- Identify risk areas
- Propose mitigation strategies
Smart Analysis Features
1. **Pattern Recognition**
- Similar task comparisons
- Historical complexity accuracy
- Team velocity consideration
- Technology stack factors
2. **Contextual Factors**
- Team expertise
- Available resources
- Timeline constraints
- Business criticality
3. **Risk Assessment**
- Technical risks
- Timeline risks
- Dependency risks
- Knowledge gaps
Output Format
Task Complexity Analysis Report ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ High Complexity Tasks (>7): 📍 #5 "Implement real-time sync" - Score: 9/10 Factors: WebSocket complexity, state management, conflict resolution Recommendation: Expand into 5-7 subtasks Risks: Performance, data consistency 📍 #12 "Migrate database schema" - Score: 8/10 Factors: Data migration, zero downtime, rollback strategy Recommendation: Expand into 4-5 subtasks Risks: Data loss, downtime Medium Complexity Tasks (5-7): 📍 #23 "Add export functionality" - Score: 6/10 Consider expansion if timeline tight Low Complexity Tasks (<5): ✅ 15 tasks - No expansion needed Summary: - Expand immediately: 2 tasks - Consider expanding: 5 tasks - Keep as-is: 15 tasks
Actionable Output
For each high-complexity task: 1. Complexity score with reasoning 2. Specific expansion suggestions 3. Risk mitigation approaches 4. Recommended subtask structure
Integration
Results are:
- Saved to `.taskmaster/reports/complexity-analysis.md`
- Used by expand command
- Inform sprint planning
- Guide resource allocation
Next Steps
After analysis:
/taskmaster:expand 5 # Expand specific task /taskmaster:expand-all # Expand all recommended /taskmaster:complexity-report # View detailed report
An AI-powered task-management system you can drop into Cursor, Lovable, Windsurf, Roo, and others.
Repo: eyaltoledano/claude-task-master
Other commands on claude-task-master.
ham
This command initiates the HAM (Hamster Automated Management) workflow for task execution.

