intent-alignment

Identify high-impact ambiguities and confirm success criteria before task execution.

1|Updated Apr 10, 2026
One-click install
npx skills add https://github.com/lava-chen/duya --skill intent-alignment
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: intent-alignment
Source: https://github.com/lava-chen/duya/tree/main/packages/agent/skills/agentic/intent-alignment
Command: npx skills add https://github.com/lava-chen/duya --skill intent-alignment

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents agents from producing incorrect results caused by misunderstood goals, unclear boundaries, or unstated constraints before starting non-trivial work.

Core Features & Use Cases

  • Intent Boundary Detection: Identifies assumptions that could lead to substantial rework and surfaces only the highest-impact ambiguities.
  • Scope and Constraint Alignment: Helps clarify success criteria, task boundaries, priorities, and non-negotiable requirements across coding, writing, research, design, and planning tasks.
  • Use Case: When a user requests a complex feature implementation, use this Skill to confirm the intended scope, constraints, and expected outcome before execution.

Quick Start

Use the intent-alignment skill to clarify the critical assumptions and success criteria before starting this task.

Frequently Asked Questions about intent-alignment

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

FAQPage Schema
How do I prevent agents from executing tasks with misunderstood requirements?

Scope clarification prevents agent rework by forcing explicit confirmation of task boundaries, priorities, and non-negotiable constraints before execution begins. This ensures the agent understands exactly what constitutes a successful outcome for your complex feature implementation.

When do I need to align intent before starting agent workflows?

You need intent alignment before starting agent workflows for non-trivial tasks such as coding, writing, research, design, and planning. It is required whenever ambiguous scope or unstated constraints could cause substantial rework during task execution.

What is the best way to detect ambiguity in task planning for AI agents?

The best way to detect ambiguity in task planning is to apply intent boundary detection, which surfaces only the highest-impact uncertainties and assumptions that could lead to substantial rework, ensuring scope and constraint alignment before work begins.

Does intent alignment work for research and design tasks or just coding?

Intent alignment works across coding, writing, research, design, and planning tasks. It clarifies success criteria and task boundaries for any non-trivial task where ambiguous scope or unstated constraints might cause rework during execution.

Why does my agent produce incorrect results despite providing a detailed prompt?

Agents produce incorrect results when high-impact assumptions and unstated constraints remain unresolved. Clarifying intent and explicitly establishing execution boundaries before work begins prevents misunderstood goals from derailing the task execution.