Codebase Research & Repo Analysis

Analyze codebases for tech debt and architecture patterns against PRDs.

2|1|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/bigeasyfreeman/adlc --skill codebase-research-repo-analysis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Codebase Research & Repo Analysis
Source: https://github.com/bigeasyfreeman/adlc/tree/main/skills/codebase-research
Command: npx skills add https://github.com/bigeasyfreeman/adlc --skill codebase-research-repo-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires graphify, beads, git, grep, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates deep analysis of a codebase, identifying tech debt, improvement opportunities, and cross-referencing with PRDs for informed engineering decisions.

Core Features & Use Cases

  • Repo Mapping: Generates a structured map of the codebase architecture.
  • Tech Debt Analysis: Identifies tech debt, risks, and opportunities.
  • PRD Cross-Referencing: Maps requirements against codebase capabilities to identify gaps and reusable components.
  • Use Case: Before beginning development on a new feature, use this Skill to understand the current state of the codebase, potential risks, and recommended improvements.

Quick Start

Use the codebase-research skill to analyze the 'api-server' repository and its relationship with the provided PRD.

Frequently Asked Questions about Codebase Research & Repo Analysis

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

FAQPage Schema
How do I automate codebase analysis for tech debt and architecture mapping?

Automate codebase analysis by generating a structured map of your architecture, identifying tech debt, and cross-referencing capabilities against PRDs. This process discovers gaps and reports improvement opportunities to inform engineering decisions.

How does PRD cross-referencing work with an existing repository?

PRD cross-referencing maps your product requirements against current codebase capabilities to identify functional gaps. It highlights reusable components and architectural risks before you begin new feature development.

Do I need to understand my repository structure before analyzing tech debt?

Yes, analyzing tech debt requires prior knowledge of your codebase structure and external dependencies. This context is necessary to accurately map service boundaries, data layer usage, and identify improvement opportunities.

Can I use this for service mapping and data layer usage analysis in a large repo?

Yes, you can map service architectures and analyze data layer usage across repositories. It evaluates the codebase structure to locate risks, discover improvement opportunities, and report architectural patterns.

What's the best way to find improvement opportunities in a codebase before new development?

The best way to find improvement opportunities is to run an automated analysis that identifies tech debt and architecture patterns. Comparing these findings against your PRD highlights risks and reusable components before development starts.