outline-understanding-user-request

Analyze code files to formulate targeted clarifying questions about scope and integration.

Updated Feb 25, 2026

Search Tags:#code analysis #clarification #requirements gathering #scope definition #integration points #request understanding

Ready to run

npx skills add https://github.com/LayerDynamics/Lore --skill outline-understanding-user-request

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: outline-understanding-user-request
Source: https://github.com/LayerDynamics/Lore/tree/main/lore/skills/outline-understanding-user-request
Command: npx skills add https://github.com/LayerDynamics/Lore --skill outline-understanding-user-request

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill tackles ambiguous or complex user requests by guiding you through efficient code analysis to formulate precise clarifying questions, preventing context drain and wasted implementation effort.

Core Features & Use Cases

Efficient Code Analysis: Quickly understand code flow and identify affected areas without reading the entire codebase (<5 files).
Targeted Question Formulation: Generate specific questions about scope, integration, and requirements grounded in code findings.
Use Case: When a user asks to "improve the authentication flow," this skill helps you analyze the relevant code, identify potential integration points, and ask targeted questions like "Should authentication apply to HTTP only or also WebSocket?" before writing any code.

Quick Start

Use the outline-understanding-user-request skill when the user's request is ambiguous or initial understanding is insufficient after reviewing code.

Frequently Asked Questions about outline-understanding-user-request

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

FAQPage Schema

How do I clarify ambiguous user requests before writing code?▼

To clarify ambiguous user requests, you can analyze relevant code flow to identify affected areas and formulate targeted questions about scope and integration points. This approach grounds your clarifying questions in actual code findings.

What is the best way to gather requirements for complex code changes?▼

Gathering requirements for complex code changes is best achieved by mapping data flow across affected files to pinpoint integration points. This allows you to ask precise questions about scope and requirements before implementation begins.

How can I scope software features without reading the entire codebase?▼

You can scope software features efficiently by analyzing fewer than five relevant files to map data flow and identify affected systems. This targeted code analysis prevents context drain while still uncovering necessary integration points.

When do I need to perform targeted code analysis for scope definition?▼

You need targeted code analysis for scope definition when a user's request is ambiguous or initial understanding is insufficient after reviewing the code. It helps identify affected systems and precise integration points before implementation.

Does this code analysis approach work for identifying integration points in large systems?▼

This code analysis approach works for identifying integration points by focusing your review on fewer than five files. It maps data flow efficiently to pinpoint affected systems within large architectures without draining context.

Why does analyzing code flow help formulate better clarifying questions?▼

Analyzing code flow helps formulate better clarifying questions by grounding your inquiries in actual data paths and affected systems. This prevents wasted implementation effort by ensuring questions about scope and requirements are highly targeted.