deep-understanding

Create a persistent markdown file documenting codebase research before planning.

1.5k|257|Updated Nov 19, 2018
One-click install
npx skills add https://github.com/adobe/spectrum-web-components --skill deep-understanding
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-understanding
Source: https://github.com/adobe/spectrum-web-components/tree/main/.ai/skills/deep-understanding
Command: npx skills add https://github.com/adobe/spectrum-web-components --skill deep-understanding

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill ensures that every meaningful task touching non-trivial code starts with a thorough read of the relevant codebase and requires writing a persistent markdown artifact (e.g., research.md) for review before any planning or implementation. The artifact serves as the user's review surface to verify understanding and correct misunderstandings before work proceeds.

Core Features & Use Cases

  • Enforces a comprehensive, in-depth read of the codebase prior to planning or execution.
  • Produces a persistent Markdown artifact (e.g., research.md) that the user can review, correct, and refer back to during planning.
  • Improves traceability and rationale for decisions in complex, multi-file work.

Quick Start

Read the relevant codebase in depth and write a detailed research.md in the skill folder for review.

Frequently Asked Questions about deep-understanding

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

FAQPage Schema
How do I ensure accurate understanding of a complex codebase before planning implementation?

To ensure accurate codebase understanding, enforce a deep-read of all relevant files and document findings, uncertainties, and corrections in a persistent markdown file for review before proceeding.

What is the best way to document code research for multi-file tasks?

The best way to document code research is to write a detailed research.md file capturing what was learned, uncertainties, and corrections, serving as a review surface to verify understanding prior to execution.

When do I need to write a research.md file for code review?

You need to write a research.md file when working on tasks involving multiple files, complex behavior, or unfamiliar systems, requiring a written artifact for review before any planning or implementation begins.

Can I use a deep-read workflow to improve traceability for unfamiliar systems?

Yes, a deep-read workflow improves traceability and rationale for decisions in complex, multi-file work by producing a persistent markdown artifact documenting what was learned and corrected before execution.

Does every code modification require a written markdown artifact for review?

No, a written markdown artifact for review is required for meaningful tasks touching non-trivial code, not for simple modifications, ensuring comprehensive understanding only when navigating complex behavior or unfamiliar systems.

Why should I read the codebase in depth before starting development?

You should read the codebase in depth to prevent misunderstandings and improve rationale traceability, ensuring every meaningful task starts with accurate understanding verified through a persistent markdown artifact.