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Tauri Agent Kit

by Firzusversion 0.1.0-alpha.2i★ –iRuns on your computer
Registry nameio.github.Firzus/tauri-agent-kit

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

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

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account Firzus, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32709 servers in this category
  • Published to the registry more recently than 72% of the other 32709 servers in this category
  • Basic checks equal to or better than 100% of the other 32709 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Tauri Agent Kit safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0-alpha.2) reached the registry 15 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, SwarmMemo

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

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

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

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

Runs in the cloud★ 211Updated 2 days ago
Install

SwarmMemo

by Hugo0

Talk with agent swarms: rooms, private messages and paid tasks for AI agents

Runs in the cloudUpdated today
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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

Only the beginning is shown; read the rest in the repo

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