explain-pr
Explain a PR: the background problem and the proposed solution
Best use case
explain-pr is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Explain a PR: the background problem and the proposed solution
Teams using explain-pr should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/explain-pr/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How explain-pr Compares
| Feature / Agent | explain-pr | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Explain a PR: the background problem and the proposed solution
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
target_pr = $ARGUMENTS If target_pr is not provided, use the PR of the current branch. ## Step 1: Gather PR Information Run the following in parallel: - Get the PR description and metadata: `gh pr view <pr_number>` - Get the PR diff: `gh pr diff <pr_number>` ## Step 2: Analyze and Explain Based on the PR content, explain the following two aspects: 1. **Background (Problem/Motivation):** What issue or limitation existed before this PR? Why was this change needed? 2. **Solution:** What approach does this PR take to address the problem? Summarize the key changes and design decisions. Keep the explanation concise and focused. Use the language of the current conversation (follow the user's language).
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