Ring:Checking Frontend Quality

Q: Why use Ring:Checking Frontend Quality on TypingMind?

Because you install it once and use it with any model. Ring:Checking Frontend Quality 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.

Q: How do I install Ring:Checking Frontend Quality in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LerianStudio/ring/tree/main/dev-team/skills/checking-frontend-quality. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Q: Which AI models can use Ring:Checking Frontend Quality?

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.

Q: How many AI models can I use with Ring:Checking Frontend Quality?

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

Q: Is the Ring:Checking Frontend Quality AI skill free?

Yes. It is published on GitHub by LerianStudio under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

Q: 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.

Q: 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.

Organization

LerianStudio

ring:checking-frontend-quality

Checking frontend quality against changed UI via ring:qa-frontend in accessibility, visual, e2e, or performance mode and aggregating pass/fail verdicts. Use when a frontend change needs standalone a11y, visual-snapshot, Playwright e2e, or Lighthouse/Core-Web-Vitals validation outside the dev cycle. Skip for backend-only or non-UI work, or inside ring:running-dev-cycle-frontend, which already runs these in Gate 0.

Overview

Publisher	LerianStudio
Repository	`ring`
Skill name	`ring:checking-frontend-quality`
Stars	215
Forks	28
Bundled files	Instructions only
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by LerianStudio on GitHub. Read the source before you install it.

Installation

Install the Ring:Checking Frontend Quality 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/LerianStudio/ring/tree/main/dev-team/skills/checking-frontend-quality

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/LerianStudio/ring.git /tmp/ring
mkdir -p .claude/skills
cp -r /tmp/ring/dev-team/skills/checking-frontend-quality .claude/skills/lerianstudio-ring-checking-frontend-quality

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

Use it in TypingMind

Enable Ring:Checking Frontend Quality 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 Ring:Checking Frontend Quality 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 Ring:Checking Frontend Quality 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 Quality Checks

When to use

A frontend task needs standalone quality validation outside ring:running-dev-cycle-frontend (which owns these checks in Gate 0).
You want to run one specific check (a11y, visual, e2e, or performance) against changed UI components, or all of them at once.

Skip when

Backend-only project with no UI components.
Task is documentation-only, configuration-only, or non-code.
Changes limited to build tooling, CI/CD, or infrastructure.
Inside ring:running-dev-cycle-frontend — that orchestrator already runs these in Gate 0.

Complementary: ring:running-dev-cycle-frontend, ring:qa-frontend

Modes

Mode	What it checks
`accessibility`	axe-core automated scans, zero WCAG 2.1 AA critical/serious violations, keyboard nav, focus management
`visual`	Snapshot tests across all component states and viewports (mobile 375px / tablet 768px / desktop 1280px)
`e2e`	Playwright user-flow tests across Chromium, Firefox, and WebKit (happy + error paths)
`performance`	Lighthouse > 90 and Core Web Vitals (LCP < 2.5s, CLS < 0.1, INP < 200ms), bundle budget
`all`	Runs all four modes in parallel and aggregates the verdicts

The deep per-mode requirements live in the agent's mode files (dev-team/agents/qa-frontend-modes/{accessibility,visual,e2e,performance}.md). Do not duplicate them here.

Step 1: Validate Input

Required: unit_id (TASK id), implementation_files, gate0_handoffs. Required: mode — one of accessibility | visual | e2e | performance | all. Optional: components_list, user_flows_path, performance_baseline.

Step 2: Dispatch

For a single mode, dispatch the QA analyst with the selected mode:

yaml
Task:
  subagent_type: "ring:qa-frontend"
  description: "Frontend {mode} checks for {unit_id}"
  prompt: |
    mode: {mode}
    unit_id: {unit_id}
    implementation_files: {implementation_files filtered to UI files}
    gate0_handoffs: {gate0_handoffs}
    # optional, when relevant to the mode:
    # user_flows_path, performance_baseline, components_list

    Load qa-frontend-modes/{mode}.md and follow it.

For mode: all, dispatch the four modes in parallel (one Task batch — four Task calls in a single message), each with the same inputs and its own mode. Aggregate the four verdicts into the output below.

Output

Aggregated pass/fail per mode:

markdown
## Frontend Quality Result
unit_id | mode(s): {mode or all}

| Mode | Result | Violations / Failures | Iterations |
|------|--------|-----------------------|------------|
| accessibility | PASS/FAIL | N | N |
| visual | PASS/FAIL | N | N |
| e2e | PASS/FAIL | N | N |
| performance | PASS/FAIL | N | N |

## Overall: PASS | FAIL
(FAIL if any dispatched mode failed.)

Frequently asked questions

What does the Ring:Checking Frontend Quality AI skill do?

Why use Ring:Checking Frontend Quality on TypingMind?

Because you install it once and use it with any model. Ring:Checking Frontend Quality 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 Ring:Checking Frontend Quality in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LerianStudio/ring/tree/main/dev-team/skills/checking-frontend-quality. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ring:Checking Frontend Quality?

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 Ring:Checking Frontend Quality?

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

Is the Ring:Checking Frontend Quality AI skill free?

Yes. It is published on GitHub by LerianStudio 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.

View all

Skill Creator

anthropics

OrganizationPopular

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a…

Next Cache Components Adoption

vercel

OrganizationPopular

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the `cacheComponents` flag, work…

Next Cache Components Optimizer

vercel

OrganizationPopular

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal…

Next Partial Prefetching Adoption

vercel

OrganizationPopular

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the `partialPrefetching` flag, opt routes…

Ring:Checking Frontend Quality

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Frontend Quality Checks

When to use

Skip when

Related

Modes

Step 1: Validate Input

Step 2: Dispatch

Output

Frequently asked questions

Set up your own AI workspace now

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Frontend Quality Checks

When to use

Skip when

Related

Modes

Step 1: Validate Input

Step 2: Dispatch

Output

Frequently asked questions

Related AI Skills

Set up your own AI workspace now