repo-research-analyst

Analyze repository structure, conventions, and implementation patterns.

Updated Mar 22, 2026
One-click install
npx skills add https://github.com/drhazemibclc/plate --skill repo-research-analyst-drhazemibclc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: repo-research-analyst
Source: https://github.com/drhazemibclc/plate/tree/main/.codex/skills/repo-research-analyst
Command: npx skills add https://github.com/drhazemibclc/plate --skill repo-research-analyst-drhazemibclc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Onboarding to a new codebase is slow without a clear map of its structure, conventions, and patterns. This Skill automates the discovery process to accelerate understanding and contributor readiness.

Core Features & Use Cases

  • Architecture mapping of repository structure, conventions, and design decisions.
  • Review of documentation guidelines (ARCHITECTURE.md, README.md, CONTRIBUTING.md) and identification of gaps.
  • Analysis of issue patterns, labels, templates, and governance to improve triage and collaboration.
  • Template discovery for PRs and issues, plus detection of common code patterns to standardize practices.
  • Use Case: onboarding to a new project by producing a structured overview, a contributing guide, and prioritized next steps.

Quick Start

Analyze a repository to map its architecture, docs, and conventions.

Frequently Asked Questions about repo-research-analyst

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

FAQPage Schema
How do I analyze a codebase to understand its architecture and conventions?

Mapping repository architecture involves uncovering structure, conventions, and implementation patterns to accelerate onboarding. This Skill automates that discovery by analyzing documentation guidelines, issue templates, and design decisions to produce a structured overview of the codebase.

What is the best way to onboard to a new codebase and find its contributing patterns?

The best way to onboard to a new codebase is by automating the discovery of its contributing patterns and architecture. This Skill reviews documentation, detects common code patterns, and analyzes issue templates to generate a contributing guide and prioritized next steps for new developers.

How do I review repository documentation guidelines and find gaps in CONTRIBUTING.md?

Reviewing repository documentation involves analyzing files like README.md, ARCHITECTURE.md, and CONTRIBUTING.md to identify governance gaps. This Skill automates documentation review to reveal missing guidelines and standardize project practices for new contributors.

Can I detect common code patterns and issue templates in a large repository?

Yes, you can detect common code patterns and issue templates in a large repository using automated analysis. This Skill discovers PR and issue templates while mapping code conventions, making it suitable for teams seeking standardized practices across architecture and documentation.

Does codebase structure analysis work for teams needing standardized practices across multiple repositories?

Codebase structure analysis works for teams needing standardized practices by mapping architecture, issue patterns, and documentation conventions. This Skill supports large repositories and teams seeking to standardize governance, templates, and implementation patterns across projects.

What are the limitations of automating repository convention discovery for onboarding?

Limitations of automating repository convention discovery include relying on existing files like CONTRIBUTING.md and issue templates to map architecture. If documentation is missing or outdated, the generated onboarding overview and pattern detection may be incomplete or inaccurate.