arming-thought

Establish a fact-first reasoning framework for new conversations and route downstream skills.

Updated May 17, 2026
One-click install
npx skills add https://github.com/tiankong0101-byte/skills-registry --skill arming-thought-tiankong0101-byte
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: arming-thought
Source: https://github.com/tiankong0101-byte/skills-registry/tree/main/skills/arming-thought
Command: npx skills add https://github.com/tiankong0101-byte/skills-registry --skill arming-thought-tiankong0101-byte

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps establish a fact-first working method at the start of a top-level conversation, so the agent avoids premature conclusions and chooses downstream skills only when they are genuinely useful.

Core Features & Use Cases

  • Fact-first discipline: Encourages checking observable evidence before making judgments.
  • Skill routing: Helps decide when a downstream skill is warranted for analysis, investigation, validation, or planning.
  • Scope control: Instructs delegated sub-agents to skip this Skill when handling a narrow, concrete task.
  • Use Case: A general-purpose assistant begins a new conversation, needs to stay grounded in evidence, and wants a lightweight framework for selecting more specialized methods only when necessary.

Quick Start

Use the arming-thought skill to ground the conversation in factual reasoning and decide whether any downstream skill should be activated.

Frequently Asked Questions about arming-thought

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

FAQPage Schema
How do I establish a fact-first reasoning framework for AI assistant task triage?

A fact-first reasoning framework establishes observable evidence validation before routing tasks to downstream skills, ensuring the agent avoids premature conclusions and maintains disciplined scope control for sub-agent work.

What is the best way to validate evidence before delegating to downstream skills?

Validate evidence by applying explicit attention to observable facts before completion, triggering downstream skill routing only when clearly useful for analysis, investigation, or planning tasks.

How does metacognition and task triage work in general assistant orchestration?

Metacognition in assistant orchestration evaluates incomplete evidence to select appropriate methods, routing tasks to specialized skills only when clearly useful while maintaining disciplined scope control.

When should I use fact-first validation for reasoning instead of direct task execution?

Use fact-first validation when evidence is incomplete or multiple skills may fit, ensuring observable facts are checked before conclusions are reached and downstream delegation occurs.

Do I need to apply fact-first routing to narrow concrete sub-agent tasks?

No, fact-first routing should be skipped for narrow concrete sub-agent tasks, as scope control instructions explicitly exclude delegated sub-agent work from this validation framework.

Why does my assistant reach premature conclusions during method selection?

Premature conclusions occur when a reasoning framework lacks fact-first discipline, failing to validate observable evidence before routing to downstream skills for analysis or planning.