Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
Unofficial Windows WebView2 diagnostics and automation for Tauri 2.12 development builds.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"tauri-agent-kit": {
"command": "npx",
"args": [
"-y",
"tauri-agent-kit"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add tauri-agent-kit -- npx -y tauri-agent-kitIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"tauri-agent-kit": {
"command": "npx",
"args": [
"-y",
"tauri-agent-kit"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"tauri-agent-kit": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"tauri-agent-kit"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto Firzus bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.1.0-alpha.2) kam vor 14 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Node.js auf deinem Computer.
In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, Detailing Manager
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Connect your auto detailing studio's tasks, cars, clients and revenue to Claude or ChatGPT.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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
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.
General rules (communication, authorization, delegation, verification, Git) live once in a shared operating policy; each skill holds only what is specific to its task.
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:
| Size | When | What you do |
|---|---|---|
| Quick | The request says everything that matters and is easy to undo | Check the result, then say whether to ship |
| Small | One unit: fits one session and one reviewable change | Answer the decisions, agree on the Linear issue, check the result, say whether to ship |
| Project | Several units, or questions that need research, an experiment, or a later decision first | Agree 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.
You need a coding agent that supports skills and subagents, and Node.js and npm for the installer.
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.
/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
npx skills add Firzus/agent-skills
npx skills list npx skills update work npx skills remove work
See the skills CLI documentation for supported agents, installation modes, and troubleshooting.
Some skills work on their own, without the rest of the stack.
| I want to… | Start with | Needs the stack |
|---|---|---|
| Take a request from idea to a shipped change | work | Yes |
| Settle open decisions on a plan or feature | interview | No |
| Review an existing change without modifying it | code-review | No |
| Diagnose a bug or verify an authorized fix | debug | No |
| Compare interface ideas or test feasibility | prototype | No |
| Investigate a question across multiple sources | research | No |
| Find refactors worth doing | improve-architecture | No |
| Audit security boundaries in a codebase | security-review | No |
| Explain how shipped software works from its files | reverse-engineer | No |
Stack and engineering skills assume the shared operating policy, even when used alone.
Installing instructions does not install every tool they describe or authorize every action they can perform. Check the selected skill's prerequisites first.
| Workflow | Additional requirements |
|---|---|
| Stack and engineering skills | The shared operating policy installed by setup-harness; these skills rely on it and repeat only its safety boundaries |
| The stack | Git 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 research | An agent with subagent support |
| Figma workflows | The Figma integration, account access, and approval for external writes |
| Chrome debugging and automation | Google Chrome and the chrome-devtools CLI from the npm package chrome-devtools-mcp; the skill proposes the global install and waits for approval |
| Cloudflare operations | The cf CLI from the npm package cf (open beta) and a Cloudflare account; the skill proposes the global install and waits for approval |
| Video reports | FFmpeg and access to the application being recorded |
| Runbooks | Bash 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 transcription | Available captions, or the audio/transcription tools required by the selected route |
| Image generation | An authenticated Codex CLI setup with the image-generation capability described by the skill |
| Reverse engineering | The 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.
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.
| Harness | Personal instruction destination |
|---|---|
| Codex (app and CLI) | One shared AGENTS.md per CODEX_HOME (default ~/.codex) |
| Cursor | User 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.
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.
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.
| Skill | Purpose |
|---|---|
| code-review | Independent read-only review of a change on requirements, standards, and correctness. |
| debug | Evidence-led diagnosis and verification of authorized bug fixes. |
| interview | Settle the user's decisions in short question rounds, each explained and with a recommendation. |
| prototype | Answer a design or feasibility question through an experiment. |
| research
Nur der Anfang wird gezeigt; den Rest findest du im Repo