meow:elicit

Community

Structured second-pass reasoning for reviews.

Authorngocsangyem
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Re-examines an existing output (verdict, plan, or analysis) through named reasoning methods to surface deeper insights.

Core Features & Use Cases

  • Supports multiple reasoning lenses: Pre-mortem, Inversion, Red Team, Socratic, First Principles, and more.
  • Guides users through a deterministic workflow: load context, select a method, apply a lens, and produce structured findings.
  • Integrates with the meow:review cycle to append analyses without altering the original verdict.
  • Use cases include post-review deep-dives, plan validation, and adversarial testing of outputs.

Quick Start

Provide a selected lens on the current output to generate structured findings.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: meow:elicit
Download link: https://github.com/ngocsangyem/MeowKit/archive/main.zip#meow-elicit

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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