meta-selector

Analyze ambiguous problem features to recommend 1–3 thinking tools with primary status and mode.

6|Updated Apr 16, 2026
One-click install
npx skills add https://github.com/the-thinker0/math-skill --skill meta-selector
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: meta-selector
Source: https://github.com/the-thinker0/math-skill/tree/main/skills/meta-selector
Command: npx skills add https://github.com/the-thinker0/math-skill --skill meta-selector

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps you pick the right thinking weapon when a problem is vague and you’re unsure which tool to use, surfacing 1–3 candidates and mode recommendation.

Core Features & Use Cases

  • Recommends 1–3 suitable thinking weapons based on problem characteristics
  • Indicates primary and secondary tools, plus recommended mode (research vs life)
  • Provides a structured workflow to compare tools, capture reasoning, and guide problem framing

Quick Start

Describe your problem to the selector and ask it to return 1–3 suitable thinking weapons with a primary tool and the recommended mode.

Frequently Asked Questions about meta-selector

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I choose the right thinking tool for an ambiguous problem?▼

To choose the right thinking tool for an ambiguous problem, you analyze core problem features and use a decision-tree workflow to map them to 1–3 suitable cognitive tools, indicating primary and secondary status.

What is meta-cognition for problem-framing and when do I need it?▼

Meta-cognition for problem-framing is the process of evaluating how you approach a vague challenge. You need it during early-stage problem framing or cross-domain challenges when you are unsure which cognitive tool to apply.

How do I match a decision-tree to a specific cross-domain challenge?▼

You match a decision-tree to a cross-domain challenge by describing the problem characteristics to the selector, which then documents feature-to-tool mappings and returns primary and secondary tool recommendations with mode guidance.

Can I use a weapon-selector approach for early-stage problem framing?▼

Yes, you can use a weapon-selector approach for early-stage problem framing. It analyzes problem characteristics and returns 1–3 candidate tools with a recommended mode, guiding you through comparing tools and capturing reasoning.

What is the best way to evaluate tool recommendations for vague problems?▼

The best way to evaluate tool recommendations for vague problems is to follow a structured workflow that compares the suggested primary and secondary tools, capturing reasoning and documenting feature-to-tool mappings for clear decision tracking.

Does mode-matching provide separate guidance for research versus life problems?▼

Yes, mode-matching provides separate guidance by indicating the recommended mode, explicitly distinguishing between research and life contexts to ensure the selected thinking tools fit the specific environment.