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Tauri Agent Kit

제작자: Firzus버전 0.1.0-alpha.2i★ –i내 컴퓨터에서 실행
레지스트리 이름io.github.Firzus/tauri-agent-kit

설치

개요

제작자가 쓴 설명(영어 원문)

Unofficial Windows WebView2 diagnostics and automation for Tauri 2.12 development builds.

PopNx MCP의 세 기둥

이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.

할 수 있는 일

이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.

  • 연결 방식: 내 컴퓨터에서 실행
  • 전송 방식: stdio
  • 카테고리: 기타

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

설치하기 전에

  • 기본 점검: 1개 중 1개 통과
  • 내 컴퓨터에서 내 사용자 계정의 권한(파일, 네트워크, 앱)으로 실행돼요.
  • 레지스트리에 입력해야 할 키가 나와 있지 않아요.

필요한 것

  • npmNode.js 설치(npx 명령어용)

어떤 앱을 쓰세요?

위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.

Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요

{
  "mcpServers": {
    "tauri-agent-kit": {
      "command": "npx",
      "args": [
        "-y",
        "tauri-agent-kit"
      ]
    }
  }
}

터미널에서 이 명령어를 실행하세요

claude mcp add tauri-agent-kit -- npx -y tauri-agent-kit

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

{
  "mcpServers": {
    "tauri-agent-kit": {
      "command": "npx",
      "args": [
        "-y",
        "tauri-agent-kit"
      ]
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

VS Code에서 열기

또는 설정을 직접 복사하기

프로젝트의 .vscode/mcp.json에 붙여 넣으세요

{
  "servers": {
    "tauri-agent-kit": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "tauri-agent-kit"
      ]
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.

선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.

이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.

할 수 있는 일

내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 GitHub 계정 Firzus 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요

  • … 아직 점검 안 함

    계속 관리되고 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • … 아직 점검 안 함

    라이선스 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • – 해당 없음

    엔드포인트 응답

    내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요

  • – 해당 없음

    OAuth로 로그인

    내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요

  • … 아직 점검 안 함

    도구 설명에 숨겨진 지시 없음

    내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요

기타 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 32655개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 32655개 중 72%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 32655개 중 100%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

자주 묻는 질문

Tauri Agent Kit, 안전한가요?

해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.

어떤 키나 코드가 필요한가요?

레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.

내 컴퓨터에서 실행되나요, 클라우드에서 실행되나요?

내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).

아직 관리되고 있나요?

GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.1.0-alpha.2)은 14일 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, SuperCollider

대안

같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i

Spec Driven Development

제작자: formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

내 컴퓨터에서 실행★ 440MIT14개월 전 업데이트
설치

Remote Desktop Commander

제작자: desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

클라우드에서 실행★ 211그저께 업데이트
설치

SuperCollider

제작자: Tok

Make sound with SuperCollider: synths, drums, chords, melodies and soundscapes over OSC.

내 컴퓨터에서 실행오늘 업데이트
설치

제작자의 README

README 열기

제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.

agent-skills

An opinionated development stack for coding agents: you describe what you want, the agent asks only the decisions that are yours, builds it test-first, has it reviewed independently, shows it working, and ships only when you say so.

The stack is a set of skills that call each other, kept in skills/stack/. Next to it, the collection offers standalone skills for engineering, web, and game work that you can install one at a time. These are independent, community-maintained skills, not official vendor products.

The stack · How it works · Get started · Choose by task · Requirements · All skills · Contribute

The stack

Agents fail in predictable ways: they build before understanding the request, ask you what the repository already says, grade their own work, bury you in jargon or in ceremony, and publish without asking. The stack answers each failure with an opinion.

  • Understand before building. The agent restates the outcome and how you will both know it works before it changes any code.
  • Facts are looked up; only your decisions are asked. The agent reads the code, history, and documentation first. It asks only about choices you own (behavior, scope, cost, a step that is hard to undo) and takes the technical ones itself, telling you which it took and why.
  • Ceremony matches the work. The agent sizes each request as Quick, Small, or Project and tells you why. A typo needs no issue; a feature gets one; a large effort gets a project.
  • No agreement, no code. Beyond a Quick fix or a Linear issue that is ready to start, the agent builds only what you agreed to.
  • Linear holds the work. Each feature or fix is a Linear issue and each large effort a Linear project, written so that any later session continues from it.
  • One unit per session. Large work advances in units that one session can finish, check, and hand over as a change you can review in one sitting. Each conversation does one thing (a task, a fix, an investigation, an experiment, an interview, or a take-stock), then stops; the next starts from Linear. The agent plans only as far as what is known, and takes stock with you whenever a result changes the way ahead.
  • Tests first. Each behavior starts with a failing test wherever a test boundary exists.
  • Evidence over claims. Independent read-only reviewers check requirements, standards, and correctness, and the agent shows you the result running.
  • Explained, not simplified. The agent keeps the real technical terms, defines each one the first time it appears, and presents every decision with its costs, whether it can be undone, and a recommendation.
  • You hold the keys. Shipping (push and pull request), merging, and deploying each wait for your explicit yes.

General rules (communication, authorization, delegation, verification, Git) live once in a shared operating policy; each skill holds only what is specific to its task.

How it works

flowchart LR

request([Your request]) --> work work -.->|bug, research, experiment| specialist{{"debug · research · prototype"}} specialist -.-> work work --> size{{Quick · Small · Project}} size -->|Quick| build[Build test-first] size -->|Small or Project| interview[interview, when decisions are open] interview --> agree([You agree]) agree --> build build --> review[code-review] review --> show([Result shown working]) show --> ship([Ship when you say yes])

You start everything with /work and your request, in your own words. The agent first finds the cause of a bug or gathers the evidence a decision needs, then sizes the work:

SizeWhenWhat you do
QuickThe request says everything that matters and is easy to undoCheck the result, then say whether to ship
SmallOne unit: fits one session and one reviewable changeAnswer the decisions, agree on the Linear issue, check the result, say whether to ship
ProjectSeveral units, or questions that need research, an experiment, or a later decision firstAgree on a Linear project and its first issues; then start a new conversation for each unit with /work on the project or one of its issues: the agent runs that unit, asks for your decisions and review, names the next one, and takes stock with you when results change the plan

Small and Project work need Linear: when the agent cannot reach it, it stops and tells you how to reconnect. Quick work does not use Linear.

Get started

You need a coding agent that supports skills and subagents, and Node.js and npm for the installer.

  1. Open a terminal in your project and install the stack:
   npx skills add Firzus/agent-skills --skill setup-harness work interview debug prototype research code-review

The installer asks for your agent and destination. It installs in the project by default; add -g to install globally.

  1. Run setup-harness once. It installs the shared operating policy in your personal instructions, after showing you the complete change. The stack relies on it.
  2. Run /work with a small request, for example /work fix the typo in the confirmation email. Check the result it shows you, then tell it whether to ship.

If an invoked skill is not found, check the installation location and restart the session.

Browse, update, or remove installed skills

# Browse the collection without installing it

npx skills add Firzus/agent-skills --list

Choose skills interactively

npx skills add Firzus/agent-skills

Manage installed skills

npx skills list npx skills update work npx skills remove work

See the skills CLI documentation for supported agents, installation modes, and troubleshooting.

Choose by task

Some skills work on their own, without the rest of the stack.

I want to…Start withNeeds the stack
Take a request from idea to a shipped changeworkYes
Settle open decisions on a plan or featureinterviewNo
Review an existing change without modifying itcode-reviewNo
Diagnose a bug or verify an authorized fixdebugNo
Compare interface ideas or test feasibilityprototypeNo
Investigate a question across multiple sourcesresearchNo
Find refactors worth doingimprove-architectureNo
Audit security boundaries in a codebasesecurity-reviewNo
Explain how shipped software works from its filesreverse-engineerNo

Stack and engineering skills assume the shared operating policy, even when used alone.

Requirements

Installing instructions does not install every tool they describe or authorize every action they can perform. Check the selected skill's prerequisites first.

WorkflowAdditional requirements
Stack and engineering skillsThe shared operating policy installed by setup-harness; these skills rely on it and repeat only its safety boundaries
The stackGit in the project; a Linear workspace the agent can read and write (for example through the Linear MCP server) for Small and Project work; GitHub CLI or another way to open pull requests to ship
Independent reviews and delegated researchAn agent with subagent support
Figma workflowsThe Figma integration, account access, and approval for external writes
Chrome debugging and automationGoogle Chrome and the chrome-devtools CLI from the npm package chrome-devtools-mcp; the skill proposes the global install and waits for approval
Cloudflare operationsThe cf CLI from the npm package cf (open beta) and a Cloudflare account; the skill proposes the global install and waits for approval
Video reportsFFmpeg and access to the application being recorded
RunbooksBash to run them (Git Bash on Windows); an authenticated GitHub CLI to set secrets and variables, otherwise the runbook lists them to set by hand
YouTube transcriptionAvailable captions, or the audio/transcription tools required by the selected route
Image generationAn authenticated Codex CLI setup with the image-generation capability described by the skill
Reverse engineeringThe reverse-engineer MCP server for the fast route (Node.js 24.11+); the skill installs Ghidra, jadx or ilspycmd per user when a task needs them

Host support for installing skills does not guarantee identical behavior or tool availability. Explicit-invocation workflows such as work, improve-architecture, and setup-harness run only when you select them.

Personal harness instructions

setup-harness asks which harnesses and languages to configure, previews the complete changes, and waits for approval. It adds personal instructions without replacing the built-in system prompt and creates no backups. Existing unrelated instructions are preserved.

HarnessPersonal instruction destination
Codex (app and CLI)One shared AGENTS.md per CODEX_HOME (default ~/.codex)
CursorUser Rules in Customize > Rules; manual handoff if UI editing is unavailable
Claude Code~/.claude/CLAUDE.md

Cursor's project AGENTS.md is not a global substitute. See the native destinations for loading limits, and review the shared operating policy before running this skill.

Tauri companion tooling

The tauri skill remains the agent-facing entry point. Its optional Windows diagnostic application, tauri-agent-kit, is maintained in this repository but is not an installable skill. Installing the skill does not install the MCP server or Rust plugin: the skill proposes the integration when a compatible project lacks it, and installs it only after approval. Check the kit's compatibility and publication status before integrating it into an application.

Reverse-engineer companion server

The reverse-engineer skill works with shell commands alone, but it is faster and more economical with its read-only MCP server, mcp/reverse-engineer. Installing the skill does not install the server: register its npm package, reverse-engineer (alpha), with your agent, as described in its README.

All skills

Stack
SkillPurpose
code-reviewIndependent read-only review of a change on requirements, standards, and correctness.
debugEvidence-led diagnosis and verification of authorized bug fixes.
interviewSettle the user's decisions in short question rounds, each explained and with a recommendation.
prototypeAnswer a design or feasibility question through an experiment.

| research

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