meow:elicit
CommunityStructured 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 requiredComponents
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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