95c299df64
* 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
2.2 KiB
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.