Multica Review Frontend

Community

it235

multica-review-frontend

Frontend-implementation dedicated review framework. Called by FrontendReviewer to professionally analyze FrontendDev's output (UI/API-contract fit/component quality/unit-test sufficiency/acceptance mapping), output PASS/FAIL + fix list, report to Leader.

Overview

Publisher	it235
Repository	`multica-best-practices`
Skill name	`multica-review-frontend`
Stars	199
Forks	29
Bundled files	Instructions only
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by it235 on GitHub. Read the source before you install it.

Installation

Install the Multica Review Frontend 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/it235/multica-best-practices/tree/main/templates/en_US/skills/reviewer/multica-review-frontend
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/it235/multica-best-practices/tree/main/templates/en_US/skills/reviewer/multica-review-frontend

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/it235/multica-best-practices.git /tmp/multica-best-practices
mkdir -p .claude/skills
cp -r /tmp/multica-best-practices/templates/en_US/skills/reviewer/multica-review-frontend .claude/skills/multica-review-frontend

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

Use it in TypingMind

Enable Multica Review Frontend 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 Multica Review Frontend 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 Multica Review Frontend 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.

Frontend Implementation Professional Review (FrontendReviewer)

Structured professional review framework for frontend implementation artifacts. Called by FrontendReviewer; reviews the changed-file list / repo ref FrontendDev returns via code-class skill, plus the UI link + API contract link Leader passes.

When to use

FrontendReviewer receives a "review frontend implementation" dispatch from Leader.
Entering a re-review round after implementation changes (check previous round's fix list item by item).

Review dimensions (conclusion per item)

UI fit: layout, interaction, states, edge states aligned with Designer output.
API-contract fit: call params, response handling, error branches aligned with BackendDev contract.
Component quality: reusability, single responsibility, no obvious smells.
Unit-test sufficiency: key paths, boundaries, async/error branches covered; no无效的 tests padded for coverage (mark & block).
Acceptance mapping: implementation truly satisfies every AC-.

Output format


【Frontend Review】<change link>
Conclusion: PASS / FAIL
Blocking items (required on FAIL, each: rationale / involved point / fix direction):
- ...
Suggestions (non-blocking):
- ...
Previous fix-list check (re-review): resolved X / unresolved Y
Round: N / 3

Conclusion + fix list reported to Leader; don't modify code or notify FrontendDev yourself.

Boundaries

Review only frontend implementation & unit tests, not architecture, requirements, UI design, backend, or test cases.
Don't replace Leader's generic gate (multica-verification skill).
Still FAIL at round 3 → mark "escalate to human", hand to Leader, stop looping.

Frequently asked questions

What does the Multica Review Frontend AI skill do?

Why use Multica Review Frontend on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/it235/multica-best-practices/tree/main/templates/en_US/skills/reviewer/multica-review-frontend. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Multica Review Frontend?

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 Multica Review Frontend?

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

Is the Multica Review Frontend AI skill free?

Yes. It is published on GitHub by it235 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

Frontend Implementation Professional Review (FrontendReviewer)

When to use

Review dimensions (conclusion per item)

Output format

Boundaries

Frequently asked questions

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