The Wolf Instruction Cascading System provides a robust framework for coordinating Claude Code agents across complex, multi-role projects. By implementing a clear hierarchy (Global, Domain, Project, and Role), it eliminates instruction duplication while allowing for environment-specific customization. This skill includes pre-defined protocols for identity verification, a standard 8-phase work methodology, and clear authority boundaries, ensuring that AI agents remain consistent, secure, and aligned with project-specific technical patterns.
Key Features
01Standardized 8-phase methodology for consistent project execution
020 GitHub stars
03Identity-heartbeat protocol to prevent context drift during long sessions
04Unified authority matrix to resolve decision-making conflicts between agents
05Integrated governance gates and non-overridable security policies
06Four-level hierarchy for conflict resolution (Project > Role > Domain > Global)
Use Cases
01Scaling multi-agent workflows across large-scale software engineering projects
02Managing domain-specific technical patterns for web development, data, or DevOps
03Enforcing organization-wide security and documentation standards in AI sessions
