Skills Artificial Intelligence Define Cognitive Patterns For Agent Reasoning

Define Cognitive Patterns For Agent Reasoning

v20260716
cognitive-pattern
This tool enables the definition and management of structured cognitive patterns for advanced AI agents. It guides decision-making by codifying complex reasoning strategies, including decision trees, chain of thought (CoT), and analogy mapping. Use it to build robust, self-improving agents that can solve complex problems step-by-step and track their learning status.
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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__plugin_ruflo-core_ruflo__daa_cognitive_pattern with the pattern structure and triggers
  2. Create workflow — call mcp__plugin_ruflo-core_ruflo__daa_workflow_create to embed the pattern in an executable workflow
  3. Execute — call mcp__plugin_ruflo-core_ruflo__daa_workflow_execute to run the cognitive workflow
  4. Evaluate — call mcp__plugin_ruflo-core_ruflo__daa_learning_status to see how the pattern performs
  5. Share — call mcp__plugin_ruflo-core_ruflo__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 v20260716
Size 1.52KB
Updated At 2026-07-18
Language