Home / jellydn / my-ai-tools · configs/amp/plugins/my-ai-tools-skills/skills/draft-pull-request/SKILL.md · GitHub

draft-pull-request skillA

Name: draft-pull-request
Author: jellydn

draft-pull-request is agent-read markdown (skill) from jellydn/my-ai-tools: Draft pull requests with structured descriptions using gh CLI.

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Draft Pull Request

Create a draft pull request using `gh` CLI with a structured **What / Why / How** description that communicates the purpose and approach of your changes clearly.

## Usage

```bash
/draft-pull-request [title]
```

- If a title is provided via `$ARGUMENTS`, use it as the PR title.
- Otherwise, derive a concise title from the branch name and commit history.

## Process

### 1. Gather context

```bash
# Detect the repository's default branch
BASE_BRANCH=$(gh repo view --json defaultBranchRef -q '.defaultBranchRef.name')

# Check current branch
git branch --show-current

# Review commit history since branching from base
git log "$BASE_BRANCH"..HEAD --oneline

# Review the full diff
git diff "$BASE_BRANCH"..HEAD --stat
git diff "$BASE_BRANCH"..HEAD
```

### 2. Compose the PR description

Write a structured description following the **What / Why / How** template:

```markdown
## What

[Concise summary of the changes made. What was added, modified, or removed?]

## Why

[The motivation behind this change. What problem does it solve? What opportunity does it capture?]

## How
…

Read the whole file at its exact version.

How to install

Latest version

mdr add jellydn/my-ai-tools/draft-pull-request@git:20260814.d1987f5

Exact content

mdr add jellydn/my-ai-tools/draft-pull-request@sha256:3d8f27720ff164fa

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

[![mdr](https://markdownregistry.com/badge/art_evyuzzgbx6scdrqu.svg)](https://markdownregistry.com/a/art_evyuzzgbx6scdrqu)

1 badge views in 30 days

Versions

version	committed	commit	size	audit
git:20260814.d1987f5 latest	2026-08-14	d1987f5	3,405 B	A	view

Audit of the latest version

A 17 of 17 checks passed. Deterministic, no model, same answer every run.

pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (3405 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
pass: No script tag

Source

GitHub

jellydn/my-ai-tools · 121 stars · license MIT · pushed 2026-09-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_evyuzzgbx6scdrqu
GET https://markdownregistry.com/api/v1/resolve?ref=jellydn/my-ai-tools/draft-pull-request
GET https://markdownregistry.com/api/v1/blob/3d8f27720ff164faf9b94279b924b04d26fcfe38f7d5bb9fde324234c27dbf57

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

More from jellydn/my-ai-tools

AGENTS.md agents

jellydn/my-ai-tools · AGENTS.md

git:20260805.03f0789 · audit A · 121 stars

AGENTS.md@configs/amp agents

jellydn/my-ai-tools · configs/amp/AGENTS.md