intent-engine

Translate ambiguous human requests into structured intent specifications with goal hierarchies.

Updated Mar 1, 2026
One-click install
npx skills add https://github.com/seanrobertwright/lril-skills --skill intent-engine
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: intent-engine
Source: https://github.com/seanrobertwright/lril-skills/tree/main/intent-engine
Command: npx skills add https://github.com/seanrobertwright/lril-skills --skill intent-engine

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill bridges the gap between ambiguous human requests and precise, executable agent behavior, ensuring tasks are aligned with project goals and constraints.

Core Features & Use Cases

  • Structured Intent: Parses human goals into machine-actionable intent specs.
  • Goal Hierarchy: Enforces explicit priority ordering for conflict resolution.
  • Verification & Auditing: Ensures tasks meet success criteria and logs all decisions.
  • Use Case: When starting a complex feature implementation, use this Skill to define the objective, success criteria, and constraints, ensuring the agent works towards the most critical outcomes.

Quick Start

Activate the intent engine by providing a task objective and desired outcomes.

Frequently Asked Questions about intent-engine

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

FAQPage Schema
How do I translate ambiguous goals into actionable plans for AI agents?

To translate ambiguous goals into actionable plans, you parse human requests into structured intent specifications, establishing goal hierarchies and verification hooks for deterministic task execution. This bridges the gap between vague requests and executable agent behavior.

What is structured intent specification for agent task execution?

Structured intent specification is a machine-actionable format defining objective priority ordering, success criteria, and constraints. It ensures Claude Code agents align multi-file task actions with user-defined goals through explicit intent validation.

How do I set up verification hooks and audit trails for agent workflows?

Set up verification hooks and audit trails by defining success criteria and constraints within the intent specification before task execution. The system logs all decisions and validates completion against established objectives for deterministic outcomes.

Can I use intent specifications to manage complex multi-file tasks?

Yes, intent specifications manage complex multi-file tasks by enforcing explicit priority ordering for conflict resolution and aligning cross-functional decisions. Structured intent definition ensures agents work towards critical outcomes across multiple files.

What's the best way to ensure deterministic task execution by AI agents?

The best way to ensure deterministic task execution is defining explicit intent specifications with goal hierarchies, verification hooks, and user-defined constraints. This structured approach aligns agent actions with specific objectives and logs decisions for auditing.

When do I need structured intent definition for agent workflows?

You need structured intent definition when starting complex feature implementations requiring explicit objectives, success criteria, and constraints. It prevents agents from misinterpreting ambiguous requests and ensures alignment with project goals during multi-file tasks.