boundary-bbcr-fallback
Execute automatic BBCR (Collapse-Rebirth Correction) when knowledge boundaries are exceeded or reasoning fails.
Sync project structure to Linear workspace
$ 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-to-linearContext preview
What this command does when you run it.
Sync project structure to Linear workspace
Sync project structure to Linear workspace
1. **Analyze Project Requirements**
2. **Understand User's Intent**
3. **Check Linear Configuration**
4. **Project Setup in Linear**
5. **Generate Comprehensive Task List**
6. **Create Task Hierarchy**
7. **Add Task Details**
8. **Create Tasks in Linear**
9. **Review and Refinement**
10. **Provide Project Overview**
Project: User Dashboard Feature
├── Planning & Design
│ ├── Create UI/UX mockups
│ ├── Define API requirements
│ └── Technical design document
├── Backend Development
│ ├── User API endpoints
│ │ ├── GET /api/users endpoint
│ │ ├── PUT /api/users/:id endpoint
│ │ └── User data validation
│ └── Dashboard data aggregation
├── Frontend Development
│ ├── Dashboard layout component
│ ├── User profile widget
│ ├── Activity feed component
│ └── Data visualization charts
├── Testing
│ ├── Unit tests for API
│ ├── Frontend component tests
│ ├── E2E dashboard tests
│ └── Performance testing
└── Documentation & Deployment
├── API documentation
├── User guide
└── Production deploymentA 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:…