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Respond Review

Community
danielvm-git
respond-review

Act on a reviewer agent's feedback systematically — categorize findings, apply fixes, verify tests still pass. Use after request-review returns a report, or when user wants to work through code review findings.

Overview

Publisherdanielvm-git
Repositorybigpowers
Skill namerespond-review
Stars
206
Forks
18
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by danielvm-git on GitHub. Read the source before you install it.

Installation

Install the Respond Review 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.
  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/danielvm-git/bigpowers.git /tmp/bigpowers
mkdir -p .claude/skills
cp -r /tmp/bigpowers/skills/respond-review .claude/skills/respond-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Respond Review 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 Respond Review 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 Respond Review 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.

Respond Review

HARD GATEHARD GATE — Every reviewer comment must be addressed (fix, disagree + document reason, or ask clarification). Do NOT ignore feedback and merge.

Work through reviewer findings systematically. Don't apply changes blindly — categorize first, then decide, then fix, then verify.

Process

1. Read the full review report

Read every finding before acting on any of them. Get the full picture first.

2. Categorize findings

For each finding, assign a category:

CategoryMeaningAction
must-fixCorrectness bug, security issue, test failure, CONVENTIONS.md violationFix before proceeding
should-fixCode quality issue, naming, clarity — worth fixing but not blockingFix if time allows
considerArchitectural suggestion, alternative approach — may or may not applyDiscuss with user

Create a numbered list of all findings with their categories.

3. Confirm with user (for consider-category items)

For each "consider" item, briefly describe the trade-off and ask: "Apply, skip, or discuss?"

4. Apply must-fix items first

Fix every must-fix item. For each one:

  • Describe what you're changing and why
  • Make the change
  • Run the verify command if one exists for this area

5. Apply should-fix items

Apply should-fix items. If any are large enough to warrant their own commit, note them separately.

6. Run the full suite

After all changes are applied:

bash
<full test command>
<typecheck command>
<lint command>
  • All tests pass
  • No type errors
  • No lint violations

7. Report

Summarize what was applied and what was skipped:

Applied (must-fix): #1, #2, #3
Applied (should-fix): #4
Skipped (consider): #5 — agreed with user to defer
All tests pass.

Suggest next skill: commit-message.

Frequently asked questions

What does the Respond Review AI skill do?

Act on a reviewer agent's feedback systematically — categorize findings, apply fixes, verify tests still pass. Use after request-review returns a report, or when user wants to work through code review findings.

Why use Respond Review on TypingMind?

Because you install it once and use it with any model. Respond Review 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 Respond Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/danielvm-git/bigpowers/tree/main/skills/respond-review. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Respond Review?

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 Respond Review?

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

Is the Respond Review AI skill free?

Yes. It is published on GitHub by danielvm-git 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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