make-into-pr

Transform local git worktrees into pull requests with self-review and validation.

Updated Apr 3, 2026

Search Tags:#automation #git #software engineering #code review #pull request #ci-cd

Ready to run

npx skills add https://github.com/strawgate/agent-skills --skill make-into-pr

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: make-into-pr
Source: https://github.com/strawgate/agent-skills/tree/main/make-into-pr
Command: npx skills add https://github.com/strawgate/agent-skills --skill make-into-pr

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the gap between finishing a local code change and submitting a high-quality, production-ready pull request by enforcing rigorous self-review and validation standards.

Core Features & Use Cases

Rigorous Self-Review: Automates the evaluation of code against maintainer-level standards, including performance, edge cases, and documentation.
Validation & Evidence: Ensures changes are backed by benchmarks, regression tests, and clear architectural reasoning before submission.
Follow-Through Loop: Seamlessly transitions into active PR monitoring, handling CI feedback and review comments until the change is merged.

Quick Start

Use the make-into-pr skill to review my current local changes and prepare them for a pull request.

Frequently Asked Questions about make-into-pr

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

FAQPage Schema

How do I automate a self-review for a local git worktree before creating a pull request?▼

You can automate self-review for a local git worktree by using a skill that evaluates code against maintainer standards for performance, edge cases, and documentation before creating a pull request. It applies structured validation to ensure production readiness.

What is the best way to ensure local code changes are production-ready before opening a PR?▼

The best way to ensure production readiness is enforcing validation that checks for performance benchmarks, regression tests, and architectural reasoning. This approach guarantees your local code changes are backed by evidence before opening a PR.

Can I automatically monitor CI feedback and review comments after submitting a pull request?▼

Yes, you can monitor CI feedback and review comments after submitting a pull request by using a follow-through loop. This mechanism handles continuous PR lifecycle management, automatically addressing feedback until the change is merged.

Do I need specific testing and benchmarking tools to automate my pull request lifecycle?▼

Yes, automating your pull request lifecycle requires access to project-specific testing and benchmarking tools, alongside git integration. These dependencies are necessary to validate changes and ensure production readiness before submission.

How does automated PR generation handle edge cases and architectural reasoning?▼

Automated PR generation handles edge cases and architectural reasoning by applying rigorous self-review standards. It evaluates your local changes against maintainer-level criteria, ensuring documentation and performance benchmarks are met before submission.