concept-alignment

Define and align concepts with three fixed sections before task execution.

2|1|Updated Feb 1, 2026
One-click install
npx skills add https://github.com/AllanYiin/Amon --skill concept-alignment-allanyiin
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: concept-alignment
Source: https://github.com/AllanYiin/Amon/tree/main/src/amon/resources/skills/concept-alignment
Command: npx skills add https://github.com/AllanYiin/Amon --skill concept-alignment-allanyiin

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Concept Alignment helps users clarify and align core concepts, background knowledge, and recent events before starting any task, reducing misinterpretation and scope drift.

Core Features & Use Cases

  • First-principles: Decompose tasks to identify key concepts, terms, units, timeframes, stakeholders, and potential ambiguities.
  • Grounding research: Immediately perform web-based background research from primary sources and high-confidence materials, recording dates and jurisdictions.
  • Structured output: Produce a fixed three-section Concept Alignment artifact suitable for downstream tasks and verification.

Quick Start

Ask the AI to perform Concept Alignment and gather background knowledge before starting any task.

Frequently Asked Questions about concept-alignment

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

FAQPage Schema
What is concept alignment and how does it prevent scope drift during task execution?

Concept alignment is the process of defining core concepts and gathering background knowledge before executing a task to prevent misinterpretation. It decomposes topics using first principles to identify key stakeholders, terms, and timeframes, ensuring contextual clarity and reducing scope drift.

How do I gather authoritative background research before starting a complex regulatory task?

To gather background research for regulatory tasks, perform web-based grounding from primary sources and high-confidence materials. Record specific dates and jurisdictions to ensure verifiability, then output the structured findings into a three-section alignment artifact before executing the main task.

Can I use first-principles decomposition to clarify ambiguous terms and stakeholders for research projects?

Yes, you can use first-principles decomposition to clarify ambiguous terms and stakeholders for research projects. This approach breaks down complex topics into fundamental elements, identifying key units, timeframes, and potential ambiguities to establish a shared understanding before task execution begins.

Does concept alignment work for complex topics requiring up-front context and verifiability?

Yes, concept alignment works for complex topics requiring up-front context and verifiability such as regulatory or research subjects. It collects authoritative sources and structures them into a fixed three-section artifact that provides the necessary background foundation for downstream verification.

What's the best way to structure background research and concept definitions for downstream tasks?

The best way to structure background research for downstream tasks is to output a fixed three-section Concept Alignment artifact. This structured format captures decomposed first-principles, grounded primary sources with dates, and defined terms, making it directly suitable for subsequent verification workflows.

Why does my task execution suffer from scope drift and misinterpretation without concept alignment?

Task execution suffers from scope drift and misinterpretation without concept alignment because core concepts and recent events are not clarified beforehand. Establishing shared background knowledge and defining key terms upfront ensures all stakeholders share the same contextual understanding before action begins.