Leaving Pr Comments

CommunityPopular

t3dotgg

leaving-pr-comments

Use whenever leaving comments on GitHub.

Overview

Publisher	t3dotgg
Repository	`tstack`
Skill name	`leaving-pr-comments`
Stars	2.5K
Forks	153
Bundled files	1
License	MIT
Links	Skill source Repository

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 t3dotgg on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/t3dotgg/tstack/tree/main/skills/leaving-pr-comments
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.

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/t3dotgg/tstack.git /tmp/tstack
mkdir -p .claude/skills
cp -r /tmp/tstack/skills/leaving-pr-comments .claude/skills/leaving-pr-comments

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Leaving Pr Comments 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 Leaving Pr Comments 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 Leaving Pr Comments 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.

Leaving PR Comments

Prefix every agent-authored comment left on the user's behalf with this GitHub note callout:

md
> [!NOTE]
> 🤖 **<model> responding on behalf of <user>**

Actual comment starts here.

Use the verified public name of the model that wrote the comment, and the user's name or GitHub login.

If the harness does not expose a model name, use the harness name. Do not guess.

Before posting, check the entire comment, including quoted text and attachments, for secrets and private details.

Keep the attribution inside the note and the actual reply outside it. The context line must start with the robot emoji. Do not add a horizontal rule, Setext underline, heading, signature footer, or a second attribution.

Apply this format to top-level PR comments, inline review comments, replies to bots or reviewers, and written explanations used before resolving or dismissing feedback. Do not add it to PR descriptions, commit messages, or text the user explicitly asked to post verbatim without attribution.

Write the comment itself in a direct style:

Lead with the conclusion.
Cite the relevant code, behavior, check, or reproduction.
Keep it concise and avoid filler, canned thanks, or status narration.
Distinguish verified facts from judgment.

Preview the final Markdown before posting so quoting and blank lines render as shown. After posting, verify that GitHub returned the comment or review URL. Resolve a review thread only after its response was posted successfully.

Bundled files

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

agents/openai.yaml1 KB

Frequently asked questions

What does the Leaving Pr Comments AI skill do?

Use whenever leaving comments on GitHub.

Why use Leaving Pr Comments on TypingMind?

Because you install it once and use it with any model. Leaving Pr Comments 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 Leaving Pr Comments in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/t3dotgg/tstack/tree/main/skills/leaving-pr-comments. 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 Leaving Pr Comments?

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 Leaving Pr Comments?

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

Is the Leaving Pr Comments AI skill free?

Yes. It is published on GitHub by t3dotgg 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Leaving PR Comments

Bundled files

Frequently asked questions

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