Gh Address Comments

Organization

beep-effect

gh-address-comments

Address actionable GitHub pull request review feedback. Use when the user wants to inspect unresolved review threads, requested changes, or inline review comments on a PR, then implement selected fixes. Use the GitHub app for PR metadata and flat comment reads, and use the bundled GraphQL script via `gh` whenever thread-level state, resolution status, or inline review context matters.

Overview

Publisher	beep-effect
Repository	`beep-effect`
Skill name	`gh-address-comments`
Stars	74
Forks	14
Bundled files	4
License	Apache-2.0
Links	Skill source Repository Homepage

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.
4 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by beep-effect on GitHub. Read the source before you install it.

Installation

Install the Gh Address 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.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/beep-effect/beep-effect/tree/main/plugins/github/skills/gh-address-comments

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/beep-effect/beep-effect.git /tmp/beep-effect
mkdir -p .claude/skills
cp -r /tmp/beep-effect/plugins/github/skills/gh-address-comments .claude/skills/gh-address-comments

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

Use it in TypingMind

Enable Gh Address 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 Gh Address 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 Gh Address 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.

GitHub PR Comment Handler

Use this skill when the user wants to work through requested changes on a GitHub pull request. Use the GitHub app from this plugin for PR metadata and patch context, but treat thread-aware review data as a gh api graphql problem because the connector comment surface is flat and does not preserve full review-thread state.

Run all gh commands with elevated network access. If CLI auth is required, confirm gh auth status first and ask the user to authenticate with gh auth login if it fails.

Workflow

Resolve the PR.
- If the user provides a repository and PR number or URL, use that directly.
- If the request is about the current branch PR, use local git context plus gh auth status and gh pr view --json number,url to resolve it.
Inspect review context with thread-aware reads.
- Use the GitHub app from this plugin to fetch PR metadata and patch context when the repo and PR are known.
- Use the bundled scripts/fetch_comments.py workflow whenever the task depends on unresolved review threads, inline review locations, or resolution state. That script fetches reviewThreads, isResolved, isOutdated, and file and line anchors that the connector comment surface does not preserve.
- Use connector-only comment reads only for lightweight top-level PR comment summaries.
Cluster actionable review threads.
- Group comments by file or behavior area.
- Separate actionable change requests from informational comments, approvals, already-resolved threads, and duplicates.
Confirm scope before editing.
- Present numbered actionable threads with a one-line summary of the required change.
- If the user did not ask to fix everything, ask which threads to address.
- If the user asks to fix everything, interpret that as all unresolved actionable threads and call out anything ambiguous.
Implement the selected fixes locally.
- Keep each code change traceable back to the thread or feedback cluster it addresses.
- If a comment calls for explanation rather than code, draft the response rather than forcing a code change.
Summarize the result.
- List which threads were addressed, which were intentionally left open, and what tests or checks support the change.

Write Safety

Do not reply on GitHub, resolve review threads, or submit a review unless the user explicitly asks for that write action.
If review comments conflict with each other or would cause a behavioral regression, surface the tradeoff before making changes.
If a comment is ambiguous, ask for clarification or draft a proposed response instead of guessing.
Do not treat flat PR comments from the connector as a complete representation of review-thread state.
If gh hits auth or rate-limit issues mid-run, ask the user to re-authenticate and retry.

Fallback

If neither the connector nor gh can resolve the PR cleanly, tell the user whether the blocker is missing repository scope, missing PR context, or CLI authentication, then ask for the missing repo or PR identifier or for a refreshed gh login.

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 Gh Address Comments AI skill do?

Why use Gh Address Comments on TypingMind?

Because you install it once and use it with any model. Gh Address 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 Gh Address Comments in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/beep-effect/beep-effect/tree/main/plugins/github/skills/gh-address-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 Gh Address 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 Gh Address Comments?

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

Is the Gh Address Comments AI skill free?

Yes. It is published on GitHub by beep-effect under the Apache-2.0 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

GitHub PR Comment Handler

Workflow

Write Safety

Fallback

Bundled files

Frequently asked questions

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