prp-implement

Execute PRP plan files with continuous validation after every change.

1|Updated Mar 4, 2026
One-click install
npx skills add https://github.com/yandy-r/claude-plugins --skill prp-implement
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prp-implement
Source: https://github.com/yandy-r/claude-plugins/tree/main/.cursor-plugin/skills/prp-implement
Command: npx skills add https://github.com/yandy-r/claude-plugins --skill prp-implement

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Executes a PRP plan file with continuous validation loops to prevent accumulating broken state.

Core Features & Use Cases

  • End-to-end PRP plan execution with immediate validation after every change.
  • Supports sequential and parallel execution modes, worktrees, and agent/team orchestration.
  • Generates implementation reports and validates multiple levels (type-check, unit tests, build, integration, edge cases) as part of the lifecycle, then produces a final report.

Quick Start

Provide a path to a .plan.md file and allow the skill to execute it with continuous validation.

Frequently Asked Questions about prp-implement

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

FAQPage Schema
How do I execute a plan file with continuous validation to prevent broken state?

To execute a plan file with continuous validation, provide a path to a .plan.md file and the skill processes it with per-task type-checks and tests to prevent accumulating broken state. It handles sequential and parallel modes while validating after every change.

What is PRP plan execution and how do continuous validation loops work?

PRP plan execution applies continuous validation loops by running phase-based checks like type-checking, unit tests, builds, and integration tests after every task. This mechanism immediately catches broken state across multiple tasks and batches during feature implementation.

Can I use parallel execution and worktrees for multi-task feature implementation?

Yes, you can use parallel execution and worktrees for multi-task feature implementation. The skill supports parallel and sequential execution modes, worktree handling, and agent or team dispatch while maintaining per-task validation across batches.

What's the best way to automate workflow validation across sequential and parallel batches?

The best way to automate workflow validation across batches is using a skill that parses plan flags, loads the plan, and applies comprehensive phase-based validation. It reports results after validating type-checks, tests, builds, and edge cases sequentially or in parallel.

Do I need a specific plan file format to run automated task dispatch and reporting?

You need a .plan.md file to run automated task dispatch and reporting. The skill loads this plan file, parses execution flags for sequential or parallel modes, and generates a comprehensive final report after completing all validation phases.

Why does my multi-task feature implementation accumulate broken state during execution?

Multi-task feature implementation accumulates broken state when validation is deferred until the end. Running continuous validation loops after every individual change prevents this by catching type errors, test failures, and build issues immediately during execution.