/analyze-project
Advanced project analysis with actionable insights and 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-project
Context preview
What this command does when you run it.
Advanced project analysis with actionable insights and recommendations.
Command definition
analyze-project.mdAdvanced project analysis with actionable insights and recommendations.
Arguments: $ARGUMENTS
Comprehensive Project Analysis
Multi-dimensional analysis based on requested focus area.
1. **Analysis Modes**
Based on $ARGUMENTS:
- "velocity" → Sprint velocity and trends
- "quality" → Code quality metrics
- "risk" → Risk assessment and mitigation
- "dependencies" → Dependency graph analysis
- "team" → Workload and skill distribution
- "architecture" → System design coherence
- Default → Full spectrum analysis
2. **Velocity Analytics**
📊 Velocity Analysis
━━━━━━━━━━━━━━━━━━━
Current Sprint: 24 points/week ↗️ +20%
Rolling Average: 20 points/week
Efficiency: 85% (17/20 tasks on time)
Bottlenecks Detected:
- Code review delays (avg 4h wait)
- Test environment availability
- Dependency on external team
Recommendations:
1. Implement parallel review process
2. Add staging environment
3. Mock external dependencies
3. **Risk Assessment**
**Technical Risks**
- High complexity tasks without backup assignee
- Single points of failure in architecture
- Insufficient test coverage in critical paths
- Technical debt accumulation rate
**Project Risks**
- Critical path dependencies
- Resource availability gaps
- Deadline feasibility analysis
- Scope creep indicators
4. **Dependency Intelligence**
Visual dependency analysis:
Critical Path:
#12 → #15 → #23 → #45 → #50 (20 days)
↘ #24 → #46 ↗
Optimization: Parallelize #15 and #24
Time Saved: 3 days5. **Quality Metrics**
**Code Quality**
- Test coverage trends
- Complexity scores
- Technical debt ratio
- Review feedback patterns
**Process Quality**
- Rework frequency
- Bug introduction rate
- Time to resolution
- Knowledge distribution
6. **Predictive Insights**
Based on patterns:
- Completion probability by deadline
- Resource needs projection
- Risk materialization likelihood
- Suggested interventions
7. **Executive Dashboard**
High-level summary with:
- Health score (0-100)
- Top 3 risks
- Top 3 opportunities
- Recommended actions
- Success probability
Result: Data-driven decisions with clear action paths.
Read more
Advanced project analysis with actionable insights and recommendations.
Arguments: $ARGUMENTS
Comprehensive Project Analysis
Multi-dimensional analysis based on requested focus area.
1. **Analysis Modes**
Based on $ARGUMENTS:
- "velocity" → Sprint velocity and trends
- "quality" → Code quality metrics
- "risk" → Risk assessment and mitigation
- "dependencies" → Dependency graph analysis
- "team" → Workload and skill distribution
- "architecture" → System design coherence
- Default → Full spectrum analysis
2. **Velocity Analytics**
📊 Velocity Analysis ━━━━━━━━━━━━━━━━━━━ Current Sprint: 24 points/week ↗️ +20% Rolling Average: 20 points/week Efficiency: 85% (17/20 tasks on time) Bottlenecks Detected: - Code review delays (avg 4h wait) - Test environment availability - Dependency on external team Recommendations: 1. Implement parallel review process 2. Add staging environment 3. Mock external dependencies
3. **Risk Assessment**
**Technical Risks**
- High complexity tasks without backup assignee
- Single points of failure in architecture
- Insufficient test coverage in critical paths
- Technical debt accumulation rate
**Project Risks**
- Critical path dependencies
- Resource availability gaps
- Deadline feasibility analysis
- Scope creep indicators
4. **Dependency Intelligence**
Visual dependency analysis:
Critical Path:
#12 → #15 → #23 → #45 → #50 (20 days)
↘ #24 → #46 ↗
Optimization: Parallelize #15 and #24
Time Saved: 3 days5. **Quality Metrics**
**Code Quality**
- Test coverage trends
- Complexity scores
- Technical debt ratio
- Review feedback patterns
**Process Quality**
- Rework frequency
- Bug introduction rate
- Time to resolution
- Knowledge distribution
6. **Predictive Insights**
Based on patterns:
- Completion probability by deadline
- Resource needs projection
- Risk materialization likelihood
- Suggested interventions
7. **Executive Dashboard**
High-level summary with:
- Health score (0-100)
- Top 3 risks
- Top 3 opportunities
- Recommended actions
- Success probability
Result: Data-driven decisions with clear action paths.
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.

