Governs AI agent behavior and architectural decision-making through 10 battle-tested system design principles.
The Wolf Principles skill serves as the foundational strategic layer for the Wolf Agents ecosystem, providing ten core tenets refined over 50+ development phases. It ensures that every action—from code implementation to documentation—is grounded in evidence-based practices, artifact-first development, and strict role isolation. This skill is essential for maintaining system integrity, resolving priority conflicts, and guiding Claude through complex architectural trade-offs by providing a standardized framework for decision-making and multi-agent collaboration.
主な機能
01Access to 10 refined principles for agent-led system design
020 GitHub stars
03Red-flag detection to prevent common architectural anti-patterns
04Two-level research mandate (Architectural and Documentation Lookup)
05Sequential skill-chain integration with archetypes and governance
06Evidence-based decision making and trade-off resolution
ユースケース
01Evaluating architectural approaches before initiating implementation
02Onboarding new AI agents to ensure consistent system behavior
03Justifying design choices and trade-offs during Pull Request reviews
