Agent Skills: Reasoning Engine Protocol

Applies structured mental models to solve complex problems. Use when solving architectural decisions, root cause analysis, or strategic planning.

UncategorizedID: Git-Fg/thecattoolkit/applying-reasoning

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plugins/sys-cognition/skills/applying-reasoning/SKILL.md

Skill Metadata

Name
applying-reasoning
Description
"Applies structured mental models to solve complex problems. Use when solving architectural decisions, root cause analysis, or strategic planning."

Reasoning Engine Protocol

Library of Models

(See references/ for detailed definitions)

| Model | Use Case | |:---|:---| | First Principles | Building from scratch; verifying assumptions. | | Inversion | Debugging; identifying failure modes. | | Pareto (80/20) | Prioritization; finding high-leverage tasks. | | Second Order | Architectural changes; predicting side effects. | | 5 Whys | Root cause analysis. |

Standard Combinations

  • The Hardening (First Principles + Inversion): Use for critical security or reliability code.
  • The Efficiency (Pareto + Via Negativa): Use for refactoring and cleanup.
  • The Diagnostic (5 Whys + Occam's Razor): Use for debugging.

Research Protocol (Core Mandate)

  1. Research: Use Grep and Bash to find architectural patterns, performance bottlenecks, or technical debt.
  2. Framework Application: Apply the thinking-frameworks methodology to the evidence found.
  3. Synthesis: Create an ANALYSIS.md report using the template below.

Constraints

  • Evidence-First: Never make a claim without a file reference or shell output to support it.
  • Truth-First: Contradict the user if the codebase evidence suggests their proposed path is flawed.

Artifact Schema: ANALYSIS.md

When a Deep Analysis is requested, produce this artifact:

# Strategic Analysis: {Topic}

## Executive Summary
{Concise findings}

## Framework Application
### {Framework Name}
**Insight:** {What did this model reveal?}

## Synthesis & Recommendations
1. {Actionable Item 1}
2. {Actionable Item 2}