Files
claude-task-master/.claude/commands/tm/utils/analyze-project.md
Ralph Khreish 4629128943 fix: task master (tm) custom slash commands w/ proper syntax (#968)
* feat: add task master (tm) custom slash commands

Add comprehensive task management system integration via custom slash commands.
Includes commands for:
- Project initialization and setup
- Task parsing from PRD documents
- Task creation, update, and removal
- Subtask management
- Dependency tracking and validation
- Complexity analysis and task expansion
- Project status and reporting
- Workflow automation

This provides a complete task management workflow directly within Claude Code.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

* chore: add changeset

---------

Co-authored-by: neno-is-ooo <204701868+neno-is-ooo@users.noreply.github.com>
Co-authored-by: Claude <noreply@anthropic.com>
2025-07-20 00:51:41 +03:00

2.2 KiB

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 days

5. 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.