Ring:Using Dev Team

Organization

LerianStudio

ring:using-dev-team

Selecting and dispatching the right Ring developer specialist agent (backend Go/TS, frontend, UI designer/engineer, Helm, frontend QA, prompt reviewer) for a technology task. Use when you need deep stack expertise and must decide which agent to invoke via the Task tool, including parallel dispatch of independent work. Skip for general code review (use ring:reviewing-code).

Overview

Publisher	LerianStudio
Repository	`ring`
Skill name	`ring:using-dev-team`
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:Using Dev Team 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.

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/using-dev-team .claude/skills/lerianstudio-ring-using-dev-team

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

Use it in TypingMind

Enable Ring:Using Dev Team 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:Using Dev Team 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:Using Dev Team 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.

Using Ring Developer Specialists

When to use

Need deep expertise for specific technology (Go, TypeScript)
Backend local runtime / docker-compose → ring:backend-go or ring:backend-ts
Frontend with design focus → ring:ui-designer
Frontend UI development (React/Next.js) → ring:frontend
Frontend from product-designer specs → ring:ui-engineer
Helm chart creation/maintenance → ring:helm
Backend tests / coverage / TDD → ring:backend-go or ring:backend-ts
Frontend test strategy → ring:qa-frontend
Backend health/logging/tracing → ring:backend-go or ring:backend-ts
Agent/prompt quality evaluation → ring:prompt-reviewer
Migrating deprecated lib-commons observability shims to lib-observability → ring:migrating-to-lib-observability

Skip when

General code review → use ring:reviewing-code with dev-team reviewer agents
Debugging → trace from logs / metrics / telemetry

Similar: ring:using-ring

Developer specialist agents. Dispatch via Task tool with subagent_type:.

Runtime Version Resolution

Always resolve lib-commons to latest v5.x at runtime:

bash
gh api repos/LerianStudio/lib-commons/releases/latest --jq '.tag_name'

Do NOT hardcode specific patch versions.

Specialists

Agent	Specializations	Use When
`ring:backend-go`	Go microservices, PostgreSQL/MongoDB, RabbitMQ, OAuth2/JWT, gRPC, concurrency	Go services, DB optimization, auth/authz, concurrency
`ring:backend-ts`	TypeScript/Node.js, Express/Fastify/NestJS, Prisma/TypeORM, Jest/Vitest	TS backends, NestJS design, JS→TS migration
`ring:bff-ts`	Next.js BFF, Clean/Hexagonal Architecture, DDD patterns, Inversify DI	BFF layer, Clean Architecture, DDD domains, API orchestration
`ring:ui-designer`	Bold typography, color systems, animations, unexpected layouts	Landing pages, portfolios, design systems
`ring:frontend`	React/Next.js, App Router, Server Components, accessibility, performance	Financial dashboards, enterprise apps, modern React
`ring:helm`	Helm charts, Lerian conventions, chart structure, security, operational patterns	Creating/maintaining Helm charts, platform deployments
`ring:ui-engineer`	Wireframe-to-code, Design System compliance, UI states implementation	Implementing from product-designer specs
`ring:prompt-reviewer`	Agent quality analysis, prompt deficiency detection, quality scoring	Evaluating agent executions, identifying prompt gaps
`ring:qa-frontend`	Vitest, Testing Library, axe-core, Playwright, Lighthouse, snapshot testing	Frontend test planning, accessibility, E2E, performance

Dispatch Template

yaml
Task:
  subagent_type: "ring:{agent-name}"
  description: "{Brief task description}"
  prompt: |
    {Your specific request with full context}

Frontend Agent Selection Guide

Need	Agent
Visual aesthetics, design specs (no code)	`ring:ui-designer`
React/Next.js UI development	`ring:frontend`
Business logic, BFF, Clean Architecture	`ring:bff-ts`
Implementing from wireframes/ux-criteria	`ring:ui-engineer`

Parallelization

When tasks are independent, dispatch multiple agents in ONE message:

yaml
# All in one Task call block
Task 1: ring:backend-go - implement X with TDD, coverage, and local runtime
Task 2: ring:backend-ts - implement Y with TDD, coverage, and local runtime
Task 3: ring:helm - update Helm chart

Sequential dispatch triples execution time for the same cost.

Example

yaml
Task:
  subagent_type: "ring:backend-go"
  description: "Implement multi-tenant repository for accounts"
  prompt: |
    Implement a multi-tenant PostgreSQL repository for the accounts domain.
    
    Standards: Load golang.md and multi-tenant.md via WebFetch.
    Project rules: docs/PROJECT_RULES.md
    
    Requirements:
    - Use tmcore.GetPGContext(ctx) for tenant context resolution
    - Table: accounts, tenant isolation via schema-per-tenant
    - TDD: write failing test first, then implement
    
    Output: files created, test results, acceptance criteria checklist

Frequently asked questions

What does the Ring:Using Dev Team AI skill do?

Why use Ring:Using Dev Team on TypingMind?

Because you install it once and use it with any model. Ring:Using Dev Team 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:Using Dev Team in TypingMind?

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

Which AI models can use Ring:Using Dev Team?

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:Using Dev Team?

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

Is the Ring:Using Dev Team 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.

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Ring:Using Dev Team

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Using Ring Developer Specialists

When to use

Skip when

Related

Runtime Version Resolution

Specialists

Dispatch Template

Frontend Agent Selection Guide

Parallelization

Example

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

Using Ring Developer Specialists

When to use

Skip when

Related

Runtime Version Resolution

Specialists

Dispatch Template

Frontend Agent Selection Guide

Parallelization

Example

Frequently asked questions

Related AI Skills

Set up your own AI workspace now