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rpi-research

Analyze codebase architecture, dependencies, and constraints into a research document.

8|Updated May 16, 2024
Search Tags:#implementation planning#architecture analysis#codebase research#dependency mapping#technical discovery#rpi loop
One-click install
npx skills add https://github.com/michael-watson/graphql-workbench --skill rpi-research-michael-watson
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: rpi-research
Source: https://github.com/michael-watson/graphql-workbench/tree/main/.claude/skills/rpi-research
Command: npx skills add https://github.com/michael-watson/graphql-workbench --skill rpi-research-michael-watson

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the process of thoroughly researching a codebase to understand its architecture, dependencies, and constraints before planning implementation, ensuring informed decision-making.

Core Features & Use Cases

  • Codebase Exploration: Systematically investigates existing code to identify patterns, dependencies, and potential challenges.
  • Context Gathering: Collects essential information to inform the planning phase of development.
  • Use Case: When starting a new feature, use this skill to get a comprehensive overview of the relevant code sections, understand existing solutions, and identify any technical limitations before proposing a plan.

Quick Start

Use the rpi-research skill to understand the codebase for adding user authentication.

Frequently Asked Questions about rpi-research

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

FAQPage Schema
How do I research an existing codebase before planning a new feature?▼

Codebase research involves systematically exploring existing architecture, dependencies, and constraints to gather context. You analyze relevant files to identify patterns and technical limitations, generating a detailed research document for informed implementation planning.

What is technical discovery and when do I need it for implementation planning?▼

Technical discovery is the process of mapping dependencies and analyzing architecture to understand constraints before development. You need it when starting new features to ensure informed decision-making and identify potential challenges early.

How do I map dependencies and analyze architecture for a new software project?▼

Architecture analysis and dependency mapping require investigating existing code to identify patterns and technical constraints. Conducting comprehensive codebase research systematically collects this context into a detailed document for planning.

Does comprehensive codebase research work for understanding existing solutions and limitations?▼

Codebase research systematically investigates existing code sections to identify patterns, dependencies, and technical limitations. It gathers essential context about existing solutions, generating a detailed research document to inform your planning phase.

What's the best way to gather context before proposing an implementation plan?▼

Context gathering is best achieved through comprehensive codebase research that analyzes architecture, relevant files, and dependencies. This approach collects essential technical constraints into a detailed research document, ensuring informed planning decisions.

Can I use automated codebase exploration to identify technical constraints and challenges?▼

Automated codebase exploration systematically investigates existing code to identify patterns, dependencies, and potential challenges. It analyzes technical constraints and generates a detailed research document, providing a comprehensive overview for informed planning.

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