boundary-bbcr-fallback
Execute automatic BBCR (Collapse-Rebirth Correction) when knowledge boundaries are exceeded or reasoning fails.
Analyze overall project health and metrics
$ npx -y skills add qdhenry/Claude-Command-Suite --agent claude-codeHow it fires
How this command gets triggered: by you, by Claude, or both.
/project-health-checkContext preview
What this command does when you run it.
Analyze overall project health and metrics
Analyze overall project health and metrics
1. **Health Check Initialization**
2. **Multi-Dimensional Analysis**
# Code churn analysis git log --format=format: --name-only --since="30 days ago" | sort | uniq -c | sort -rg # Contributor activity git shortlog -sn --since="30 days ago" # Branch health git for-each-ref --format='%(refname:short) %(committerdate:relative)' refs/heads/ | grep -E "(months|years) ago" # File complexity (if cloc available) cloc . --json --exclude-dir=node_modules,dist,build # Test coverage trends npm test -- --coverage --json
# Check for outdated dependencies npm outdated --json # Security vulnerabilities npm audit --json # License compliance npx license-checker --json
1. Sprint velocity trends 2. Cycle time analysis 3. Blocked task duration 4. Backlog growth rate 5. Bug vs feature ratio 6. Task completion predictability
1. PR review turnaround time 2. Commit frequency distribution 3. Work distribution balance 4. On-call incident frequency 5. Documentation updates
3. **Health Report Generation**
# Project Health Report - [Project Name] Generated: [Date] ## Executive Summary Overall Health Score: [Score]/100 [๐ข Healthy | ๐ก Needs Attention | ๐ด Critical] ### Key Findings - โ Strengths: [Top 3 positive indicators] - โ ๏ธ Concerns: [Top 3 areas needing attention] - ๐จ Critical Issues: [Immediate action items] ## Detailed Health Metrics 1. **Delivery Health** (Score: [X]/100) | Metric | Current | Target | Status | |--------|---------|--------|--------| | Sprint Velocity | [X] pts | [Y] pts | ๐ข | | On-time Delivery | [X]% | 90% | ๐ก | | Cycle Time | [X] days | [Y] days | ๐ข | | Defect Rate | [X]% | <5% | ๐ด | 2. **Code Quality** (Score: [X]/100) | Metric | Current | Target | Status | |--------|---------|--------|--------| | Test Coverage | [X]% | 80% | ๐ก | | Code Duplication | [X]% | <3% | ๐ข | | Complexity Score | [X] | <10 | ๐ก | | Security Issues | [X] | 0 | ๐ด | 3. **Technical Debt** (Score: [X]/100) - ๐ Total Debt Items: [Count] - ๐ Debt Growth Rate: [+/-X% per sprint] - โฑ๏ธ Estimated Debt Work: [X days] - ๐ฐ Debt Impact: [Description] 4. **Team Health** (Score: [X]/100) | Metric | Current | Target | Status | |--------|---------|--------|--------| | PR Review Time | [X] hrs | <4 hrs | ๐ข | | Knowledge Silos | [X] | 0 | ๐ก | | Work Balance | [Score] | >0.8 | ๐ข | | Burnout Risk | [Level] | Low | ๐ก | 5. **Dependency Health** (Score: [X]/100) - ๐ Outdated Dependencies: [X]/[Total] - ๐ก๏ธ Security Vulnerabilities: [Critical: X, High: Y] - ๐ License Issues: [Count] - ๐ External Service Health: [Status] ## Trend Analysis ### Velocity Trend (Last 6 Sprints)
Sprint 1: โโโโโโโโโโโโ 40 pts Sprint 2: โโโโโโโโโโโโโโ 45 pts Sprint 3: โโโโโโโโโโโโโโโโ 50 pts Sprint 4: โโโโโโโโโโโโโโ 45 pts Sprint 5: โโโโโโโโโโโโ 38 pts Sprint 6: โโโโโโโโโโ 35 pts โ ๏ธ Declining
### Bug Discovery Rate
Week 1: โโ 2 bugs Week 2: โโโโ 4 bugs Week 3: โโโโโโ 6 bugs โ ๏ธ Increasing Week 4: โโโโโโโโ 8 bugs ๐จ Action needed
## Risk Assessment ### High Priority Risks 1. **Declining Velocity** - Impact: High - Likelihood: Confirmed - Mitigation: Review sprint planning process 2. **Security Vulnerabilities** - Impact: Critical - Count: [X] high, [Y] medium - Action: Immediate patching required 3. **Knowledge Concentration** - Impact: Medium - Bus Factor: 2 - Action: Implement pairing/documentation ## Actionable Recommendations ### Immediate Actions (This Week) 1. ๐ก๏ธ **Security**: Update [package] to fix critical vulnerability 2. ๐ **Quality**: Address top 3 bug-prone modules 3. ๐ฅ **Team**: Schedule knowledge transfer for [critical component] ### Short-term Improvements (This Sprint) 1. ๐ **Velocity**: Reduce scope to sustainable level 2. ๐งช **Testing**: Increase coverage in [module] to 80% 3. ๐ **Documentation**: Update outdated docs for [feature] ### Long-term Initiatives (This Quarter) 1. ๐๏ธ **Architecture**: Refactor [component] to reduce complexity 2. ๐ **Process**: Implement automated dependency updates 3. ๐ **Metrics**: Set up continuous health monitoring ## Comparison with Previous Health Check | Category | Last Check | Current | Trend | |----------|------------|---------|-------| | Overall Score | 72/100 | 68/100 | โ -4 | | Delivery | 80/100 | 75/100 | โ -5 | | Code Quality | 70/100 | 72/100 | โ +2 | | Technical Debt | 65/100 | 60/100 | โ -5 | | Team Health | 75/100 | 70/100 | โ -5 |
4. **Interactive Deep Dives**
Offer focused analysis options:
"Based on the health check, would you like to: 1. Deep dive into declining velocity trends 2. Generate security vulnerability fix plan 3. Analyze technical debt hotspots 4. Create team workload rebalancing plan 5. Set up automated health monitoring"
"Linear MCP not connected. Health check will be limited to: - Git/GitHub metrics only - No sprint velocity or task metrics - Manual input required for team data To enable full health analysis: 1. Install Linear MCP server 2. Configure with API credentials 3. Re-run health check"
"Some metrics could not be calculated: - [List missing metrics] - [Explain impact on analysis] Would you like to: 1. Proceed with available data 2. Manually provide missing information 3. Skip incomplete sections"
# health-check-config.yml thresholds: velocity_variance: 20 # Acceptable % variance test_coverage: 80 # Minimum coverage % pr_review_time: 4 # Maximum hours bug_rate: 5
A comprehensive development toolkit designed following Anthropic's Claude Code Best Practices for AI-assisted software development.
Repo: qdhenry/Claude-Command-Suite
Execute automatic BBCR (Collapse-Rebirth Correction) when knowledge boundaries are exceeded or reasoning fails.
Analyze semantic position relative to knowledge boundaries to prevent hallucination and identify uncertainty zones.
Generate a visual heatmap of knowledge boundaries showing safe zones, risk areas, and semantic coverage.
Evaluate the current risk level and provide detailed analysis of potential hallucination or reasoning failure.
Find and construct semantic bridges to safely navigate from current position to target concept without crossing dangerous boundaries.
Takes an input prompt and returns ONLY a token-optimized version that preserves meaning while minimizing token count. Based on LLM tokenization principles:โฆ