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.