Explain This Pr logo

Explain This Pr

Organization
Varnan-Tech
explain-this-pr

Takes a GitHub PR URL or the current branch and writes a plain-English explanation of what it does and why, then posts it as a PR comment. Use when asked to explain a PR, summarize a pull request, write a plain-English description of a PR, add a summary comment to a PR, or understand what a PR changes. Trigger when a user says "explain this PR", "summarize this pull request", "what does this PR do", "add a comment explaining the PR", or shares a GitHub PR URL and asks what it does.

Overview

PublisherVarnan-Tech
Repositoryopendirectory
Skill nameexplain-this-pr
Stars
674
Forks
74
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Varnan-Tech on GitHub. Read the source before you install it.

Installation

Install the Explain This Pr AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Varnan-Tech/opendirectory/tree/main/skills/explain-this-pr
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Varnan-Tech/opendirectory.git /tmp/opendirectory
mkdir -p .claude/skills
cp -r /tmp/opendirectory/skills/explain-this-pr .claude/skills/explain-this-pr
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Explain This Pr in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Explain This Pr on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Explain This Pr is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Explain This PR

Read a GitHub pull request, understand what it changes, and write a plain-English explanation. Post it as a PR comment so reviewers have instant context.


Step 1: Check Setup

Confirm gh is authenticated:

bash
gh auth status

If not authenticated: gh auth login and follow the prompts.

Confirm input. The user must provide one of:

  • A GitHub PR URL (e.g. https://github.com/owner/repo/pull/123)
  • A PR number in the current repo (e.g. #123)
  • The keyword "current" to use the PR for the current branch

If no input, ask: "Which PR should I explain? Share the URL, PR number, or say 'current' for the active branch."


Step 2: Fetch PR Context

Get PR metadata:

bash
gh pr view PR_URL_OR_NUMBER --json number,url,title,body,author,baseRefName,headRefName,additions,deletions,changedFiles,commits,labels,state,isDraft

If isDraft is true, note this to the user: "This PR is still in draft. The explanation is based on its current state."

Get the diff:

bash
gh pr diff PR_URL_OR_NUMBER

If the diff is over 400 lines, read the --stat summary and the first 200 lines of the diff:

bash
gh pr view PR_URL_OR_NUMBER --json files
gh pr diff PR_URL_OR_NUMBER | head -200

Get existing comments (to avoid repeating what is already there):

bash
gh pr view PR_URL_OR_NUMBER --json comments --jq '.comments[].body' 2>/dev/null | head -20

Step 3: Write the Explanation

Write two paragraphs. Read each rule before writing.

Paragraph 1: What it does (technical)

  • One sentence per major change
  • Name the specific files, functions, or systems that changed
  • State the before/after if the diff makes it clear
  • Include concrete numbers if present in the diff (lines removed, tables dropped, endpoints added)
  • Active voice, present tense

Example:

Replaces the in-memory session cache in auth.middleware.ts with a Redis-backed cache (src/cache/redis.ts). Adds get, set, and invalidate methods to the new Redis module and wraps UserService.getById() with a 5-minute TTL. Removes the Map-based cache that was limited to a single process and caused session drift across multiple instances.

Paragraph 2: Why it matters (business/product impact)

  • Who benefits and how
  • What problem this solves or what risk it reduces
  • If the commit messages contain a "why", use that context
  • If there is no clear "why" in the diff or commits, omit this paragraph rather than guessing

Example:

Users hitting the /api/me endpoint under load were getting inconsistent session data across server instances, causing intermittent 401 errors. This change makes session state consistent across all instances and reduces database load by eliminating one query per authenticated request.

Rules for both paragraphs:

  • No em dashes — use a comma or period
  • No filler: "this PR", "this change", "as you can see"
  • No invented outcomes. Only state impacts that are directly visible in the diff or commit messages
  • If the PR is a pure refactor with no behavior change, say that explicitly: "Refactors X to Y with no change in observable behavior."
  • Under 150 words total

Step 4: Self-QA

Before posting, check:

  • Paragraph 1 names specific files or functions from the diff
  • No invented metrics or outcomes
  • No em dashes
  • No filler phrases
  • Under 150 words total
  • If no clear "why" exists, paragraph 2 is omitted rather than guessing

Fix any violation before posting.


Step 5: Post as PR Comment

Present the explanation to the user. Ask: "Ready to post this as a PR comment, or would you like to edit it first?"

On confirmation, pass the body via stdin to handle backticks, quotes, and newlines safely:

bash
gh pr comment PR_URL_OR_NUMBER --body-file - << 'EOF'
EXPLANATION_HERE
EOF

After posting: "Comment added. View it at: [url from Step 2]"

If the user says "output only", present the explanation in a code block for manual copy-paste without posting.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Explain This Pr AI skill do?

Takes a GitHub PR URL or the current branch and writes a plain-English explanation of what it does and why, then posts it as a PR comment. Use when asked to explain a PR, summarize a pull request, write a plain-English description of a PR, add a summary comment to a PR, or understand what a PR changes. Trigger when a user says "explain this PR", "summarize this pull request", "what does this PR do", "add a comment explaining the PR", or shares a GitHub PR URL and asks what it does.

Why use Explain This Pr on TypingMind?

Because you install it once and use it with any model. Explain This Pr is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Explain This Pr in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Varnan-Tech/opendirectory/tree/main/skills/explain-this-pr. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Explain This Pr?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Explain This Pr?

As many as you like. As long as a model supports skills, you can use Explain This Pr with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Explain This Pr AI skill free?

Yes. It is published on GitHub by Varnan-Tech under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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