grep-plan

Generate research-backed implementation plans from codebase analysis.

1|Updated Apr 10, 2026
One-click install
npx skills add https://github.com/Parcha-ai/grep-research-skills --skill grep-plan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: grep-plan
Source: https://github.com/Parcha-ai/grep-research-skills/tree/main/skills/grep-plan
Command: npx skills add https://github.com/Parcha-ai/grep-research-skills --skill grep-plan

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Clarify and de-risk complex software initiatives by running deep, context-aware research against the project codebase to inform a robust implementation plan.

Core Features & Use Cases

  • Clarify requirements: Break down ambiguous requests into concrete research questions and success criteria.
  • Contextual research: Gather project structure, dependencies, and recent changes to tailor findings to your codebase.
  • Plan generation: Produce a structured research question, data gathering steps, and a concrete plan that guides implementation with real-world considerations.

Quick Start

Run GREP PLAN against your project to generate a research-backed implementation plan.

Frequently Asked Questions about grep-plan

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

FAQPage Schema
How do I create a research-backed implementation plan for a complex codebase?

To create a research-backed implementation plan, run a context-aware research process against your project to gather structure and dependencies, then produce a concrete plan with real-world considerations like API authentication and error handling patterns.

What is the best way to clarify ambiguous software requirements before architecture planning?

The best way to clarify ambiguous software requirements is to break them down into concrete research questions and success criteria, followed by gathering project structure and recent changes to tailor findings to your codebase.

How do I identify common pitfalls and breaking changes in my codebase architecture?

You identify common pitfalls and breaking changes by running deep research against your project dependencies, focusing on production-ready patterns and recent deprecations rather than toy examples.

Can I generate a production-ready implementation guide that includes API endpoints and authentication?

Yes, you can generate a production-ready implementation guide that includes recommended approaches, API endpoints, authentication methods, and error handling patterns by running a targeted planning process against your codebase.

Does deep research planning work for de-risking complex software initiatives?

Yes, deep research planning de-risks complex software initiatives by gathering contextual codebase data to inform a robust plan, ensuring implementation proceeds with awareness of architecture patterns and potential pitfalls.