Skills Artificial Intelligence Define Agent Cognitive Patterns

Define Agent Cognitive Patterns

v20260707
cognitive-pattern
This tool allows users to define and manage structured cognitive patterns for AI agents. It enables the codification of complex reasoning strategies, such as decision trees, Chain of Thought, and analogy mapping. Use it when agents need guided, systematic problem-solving approaches that can be executed, evaluated, and shared for continuous improvement and reliable decision-making.
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Overview

Cognitive Pattern

Define cognitive patterns that guide agent reasoning and decision-making.

When to use

When you want to codify reasoning strategies, decision trees, or problem-solving approaches that agents can use and improve over time.

Steps

  1. Define pattern — call mcp__claude-flow__daa_cognitive_pattern with the pattern structure and triggers
  2. Create workflow — call mcp__claude-flow__daa_workflow_create to embed the pattern in an executable workflow
  3. Execute — call mcp__claude-flow__daa_workflow_execute to run the cognitive workflow
  4. Evaluate — call mcp__claude-flow__daa_learning_status to see how the pattern performs
  5. Share — call mcp__claude-flow__daa_knowledge_share to propagate successful patterns

Pattern types

  • Decision trees — structured if/then reasoning
  • Chain of thought — step-by-step problem decomposition
  • Analogy mapping — solve new problems by referencing similar solved ones
  • Consensus patterns — multi-perspective evaluation before deciding
Info
Name cognitive-pattern
Version v20260707
Size 1.4KB
Updated At 2026-07-09
Language