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Taste Code Review

Community
madebymustafa
taste-code-review

Structured review of agent-generated code: a fixed pass order (behavior → structure → taste → security → performance → accessibility), severity-ranked findings, diff discipline, and a review checklist that stops "it works" from being the bar. Use when auditing any generated or changed code. Stack on the design-taste core skill.

Overview

Publishermadebymustafa
Repositorydesign-taste
Skill nametaste-code-review
Stars
198
Forks
10
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 madebymustafa on GitHub. Read the source before you install it.

Installation

Install the Taste Code 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.
    https://github.com/madebymustafa/design-taste/tree/main/skills/taste-code-review
  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/madebymustafa/design-taste.git /tmp/design-taste
mkdir -p .claude/skills
cp -r /tmp/design-taste/skills/taste-code-review .claude/skills/taste-code-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Taste Code 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 Taste Code 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 Taste Code 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.

taste-code-review

"It works" is the floor. Review in passes, not vibes — an agent that reviews without a method reviews without a memory.

1. THE PASS ORDER (Fix In This Order, Never Reversed)

  1. Behavior — does it do the thing, including edge cases (empty states, error paths, repeated clicks, offline)? A feature that works for the happy path only is a bug wearing a feature.
  2. Structure — is the code where it belongs? (File/component boundaries, one responsibility per unit, no 400-line function, imports clean, no dead code.)
  3. Taste — naming, duplication, consistency with the codebase's conventions. Code that reads like poetry nobody asked for is worse than code that reads like a bus schedule — but a bus schedule with descriptive stops is best.
  4. Security — injection (HTML/URL/SQL), secrets in code or logs, authz on every mutation, untrusted input boundaries.
  5. Performance — obvious algorithmic waste, N+1 queries, work repeated per render, giant payloads in the critical path.
  6. Accessibility — keyboard path, focus states, contrast, semantics, screen-reader names (the taste-accessibility checklist applies to code too).

Passes are ordered because a structural fix invalidates a line-level review — review the shape before the details.

2. FINDINGS (Severity-Ranked, Written To Be Acted On)

  • Every finding gets: severity (blocker / should-fix / nit), location (file:line), the problem in one sentence, the fix in one sentence. A review with no location or no fix is a complaint, not a review.
  • Blockers: wrong behavior, security holes, data loss, breaking the design system (see taste-code-craft).
  • Should-fix: duplication, dead code, naming drift, missing edge handling, performance landmines.
  • Nits: formatting, naming opinions — flagged but never blocking.
  • Never exceed ~10 findings on a diff that deserves fewer. If everything's a blocker, the pass order was skipped, not the review.

3. DIFF DISCIPLINE (The Review Starts Before the Code)

  • Review the smallest logical change: a PR that mixes a rename with a feature with a bugfix is three PRs wearing a trench coat — reject the packaging, keep the code.
  • Read the diff as a series of decisions, not a stream of changes: "why does this exist" beats "what did it do".
  • Generated code gets the same bar as written code — an agent that generated the code is not excused from reviewing it.
  • Review the tests too: a test that only asserts the happy path is a marketing document, not a test.

4. THE FINAL QUESTION

Before signing off, one question: would I merge this if I'd written it myself? If the answer is no, say why in one sentence. If the answer is yes, the review passes with the findings attached — not everything must be perfect, but everything must be deliberate.

5. CHECKLIST (Fail the Review If…)

  • Findings not ordered by severity or missing locations.
  • No edge-case pass (empty/error/repeat/offline) recorded.
  • Security pass skipped because "it's just a landing page".
  • No check that the code matches the repo's existing conventions.
  • Tests absent or happy-path-only for changed behavior.
  • A generated-code diff reviewed with a lower bar than a human one.
  • The review says "looks good" without the passes behind it.

Frequently asked questions

What does the Taste Code Review AI skill do?

Structured review of agent-generated code: a fixed pass order (behavior → structure → taste → security → performance → accessibility), severity-ranked findings, diff discipline, and a review checklist that stops "it works" from being the bar. Use when auditing any generated or changed code. Stack on the design-taste core skill.

Why use Taste Code Review on TypingMind?

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

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

Which AI models can use Taste Code 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 Taste Code Review?

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

Is the Taste Code Review AI skill free?

Yes. It is published on GitHub by madebymustafa 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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