* move claude rules and commands to assets/claude * update claude profile to copy assets/claude to .claude * fix formatting * feat(profiles): Implement unified profile system - Convert Claude and Codex profiles to use createProfile() factory - Remove simple vs complex profile distinction in rule transformer - Unify convertAllRulesToProfileRules() to handle all profiles consistently - Fix mcpConfigPath construction in base-profile.js for null mcpConfigName - Update terminology from 'simpleProfiles' to 'assetOnlyProfiles' throughout - Ensure Claude .claude directory copying works in both CLI and MCP contexts - All profiles now follow same execution flow with proper lifecycle functions Changes: - src/profiles/claude.js: Convert to createProfile() factory pattern - src/profiles/codex.js: Convert to createProfile() factory pattern - src/utils/rule-transformer.js: Unified profile handling logic - src/utils/profiles.js: Remove simple profile categorization - src/profiles/base-profile.js: Fix mcpConfigPath construction - scripts/modules/commands.js: Update variable naming - tests/: Update all tests for unified system and terminology Fixes Claude profile asset copying issue in MCP context. All tests passing (617 passed, 11 skipped). * re-checkin claude files * fix formatting * chore: clean up test Claude rules files * chore: add changeset for unified profile system * add claude files back * add changeset * restore proper gitignore * remove claude agents file from root * remove incorrect doc * simplify profiles and update tests * update changeset * update changeset * remove profile specific code * streamline profiles with defaults and update tests * update changeset * add newline at end of gitignore * restore changes * streamline profiles with defaults; update tests and add vscode test * update rule profile tests * update wording for clearer profile management * refactor and clarify terminology * use original projectRoot var name * revert param desc * use updated claude assets from neno * add "YOUR_" before api key here * streamline codex profile * add gemini profile * update gemini profile * update tests * relocate function * update rules interactive setup Gemini desc * remove duplicative code * add comma
2.8 KiB
2.8 KiB
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
-
Pattern Recognition
- Similar task comparisons
- Historical complexity accuracy
- Team velocity consideration
- Technology stack factors
-
Contextual Factors
- Team expertise
- Available resources
- Timeline constraints
- Business criticality
-
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:
- Complexity score with reasoning
- Specific expansion suggestions
- Risk mitigation approaches
- 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:
/project:tm/expand 5 # Expand specific task
/project:tm/expand/all # Expand all recommended
/project:tm/complexity-report # View detailed report