What problem does it solve?
Agents often reason ad hoc, making it hard to codify, reuse, and improve decision-making strategies across tasks. This Skill lets you define structured cognitive patterns, embed them in executable workflows, and track how well they perform over time.
Core Features & Use Cases
- Pattern Definition: Codify reasoning strategies such as decision trees, chain-of-thought decomposition, analogy mapping, and consensus evaluation.
- Workflow Execution: Embed patterns into executable workflows and run them through the DAA (Decentralized Autonomous Agents) MCP tools.
- Learning & Sharing: Evaluate pattern performance via learning status and propagate successful patterns through knowledge sharing.
- Use Case: Define a consensus pattern where multiple agent perspectives are evaluated before a decision, execute it as a workflow, then check learning status to see if the pattern improves outcomes.
Quick Start
Define a chain-of-thought cognitive pattern for code review decisions, create a workflow around it, execute it, and report its learning status.