About tauri-agent-kit
The supplied README describes agent-skills, a community-maintained collection of coding-agent skills and a Linear-based development method; it does not describe the named tauri-agent-kit as an MCP server. The method uses approved issues, test-first implementation, independent review, and explicit approval before publication.
Key features
- 01Turn requests into approved Linear issues
- 02Route work by issue type
- 03Test-first implementation
- 04Independent read-only reviews
- 05Approval gates for publishing and deployment
- 06Standalone engineering and development skills
Use cases
- 01Plan and approve work before coding
- 02Implement or debug a published issue
- 03Review changes without modifying them
- 04Research or prototype a technical question
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEagent-skills
An opinionated development method for coding agents: every change starts as an approved Linear issue, ships test-first, passes an independent review, and reaches a pull request only when you say so.
The method is a set of skills that call each other. 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 method · How it works · Get started · Choose by task · Requirements · All skills · Contribute
The method
Agents fail in predictable ways: they build before the decision is made, ask you what the repository already says, grade their own work, and publish without asking. The method answers each failure with a rule.
- No issue, no code. Every request, even a small one, goes through
triageand becomes a Linear issue.implementrefuses to work without one. - Facts are looked up; only decisions are asked. The agent reads the repository, Linear, and the documentation before asking you anything. You answer only choices that change scope, acceptance, or structure.
- Decide before building. When a decision needs evidence, triage plans a Research or Prototype issue first, then an Interview issue that settles the decision with that evidence.
- 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. Agreement between agents is not proof; the implementing agent verifies every finding.
- You hold the keys. Publishing issues, opening a pull request, merging, and deploying each wait for your explicit approval.
- One policy, focused skills. General rules (authorization, delegation, verification, Git conventions, code comments) live once in a shared operating policy. Skills hold only what is specific to their task.
How it works
flowchart LR
request([Your request]) --> triage
triage <-->|open decisions| interview
triage -->|after your approval| issue[(Linear issue)]
issue --> implement
implement -->|by issue type| route{{"debug · prototype<br/>research · interview"}}
implement --> review[code-review]
review --> pr([Pull request you approve])
implement -.->|Need triage| triage
triage finds existing work, picks the issue type, settles open decisions through
interview, and publishes the issues in Todo once you approve the drafts.
implement then runs one issue at a time and routes it by type:
| Issue type | What implement runs | Done when |
|---|---|---|
| Task | Test-first implementation, then the code-review loop | Its pull request merges |
| Bug | debug to reproduce and fix, then the code-review loop | Its pull request merges |
| Prototype | prototype to answer the question with an observable experiment | You validate the result |
| Research | research with a reusable evidence dossier | The report is published on the issue |
| Interview | interview with the results of the issues it waited for | You confirm the decisions |
Work that would change an issue's outcome or scope goes back to triage with the
Need triage label instead of growing inside the current issue.
improve-architecture feeds the same loop: it publishes approved refactors as
Task issues ready for implement.
Get started
You need a coding agent that supports skills and subagents, Node.js and npm for the installer, and a Linear workspace your agent can reach.
-
Open a terminal in your project and install the method:
npx skills add Firzus/agent-skills --skill setup-harness triage interview implement debug prototype research code-review improve-architectureThe installer asks for your agent and destination. It installs in the project by default; add
-gto install globally. -
Run setup-harness once. It installs the shared operating policy in your personal instructions, after showing you the complete change. The method relies on it.
-
Run triage on a small request. Review the drafted issue and approve its publication.
-
Run implement on the published issue. It asks you to validate opening the pull request once the work is verified.
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 implement
npx skills remove implement
See the skills CLI documentation for supported agents, installation modes, and troubleshooting.
Choose by task
Some skills work on their own, without Linear or the rest of the method.
| I want to… | Start with | Needs the method |
|---|---|---|
| Turn a request into approved Linear work | triage | Yes |
| Execute a published Linear issue | implement | Yes |
| Find refactors worth planning | improve-architecture | Yes |
| 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 |
| Audit security boundaries in a codebase | security-review | No |
| Explain how shipped software works from its files | reverse-engineer | No |
Engineering skills still 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.
| Workflow | Additional requirements |
|---|---|
| Engineering skills | The shared operating policy installed by setup-harness; these skills rely on it and repeat only its safety boundaries |
| The method (triage, implement, improve-architecture) | A Linear workspace your agent can read and write, with approval for external writes |
| 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 |
| 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 triage, interview, implement, 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.
| 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.
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
Engineering
| Skill | Purpose |
|---|---|
| chrome-devtools | Debug and automate Chrome from the shell: console, network, cookies, performance, accessibility, and memory. |
| code-review | Independent read-only review of a scoped change. |
| debug | Evidence-led diagnosis and verification of authorized bug fixes. |
| gamification | Engagement mechanics, motivation, and ethical design checks. |
| imagegen | Generate or edit raster images through Codex. |
| implement | Execute a published Linear issue by work type, with tests and documentation. |
| improve-architecture | Find architectural friction and publish approved refactors as Linear sub-issues. |
| interview | Resolve decisions through question rounds until the agreed scope and consequential edge cases are covered. |
| monorepo | Workspace structure, package boundaries, task graphs, caching, affected CI, and release verification. |
| prototype | Answer a design or feasibility question through an experiment. |
| research | Multi-source investigation with a reusable evidence dossier. |
| reverse-engineer | Explain shipped software (Electron apps, native binaries and Node addons, Go/Rust, .NET, APK) from its files, with cited evidence and an optional read-only MCP server. |
| runbook | Write an interactive bash runbook that guides a person through manual setup, credentials, or a cutover. |
| setup-harness | Install the shared operating policy as reviewed personal instructions for selected harnesses. |
| security-review | Investigate codebase security boundaries and report evidence-backed findings. |
| skills | Discover, install, maintain, and author agent skills. |
| triage | Turn a request into approved Linear issues or projects, clarified through interview, and continue a project goal by goal. |
| unslop | Propose evidenced dead-code and slop removals in the conversation, then apply the accepted ones. |
| video-report | Record video evidence of real application behavior. |
| writing-for-agents | Write useful skills and project instructions. |
| youtube-transcript | Turn video speech and visual evidence into a learning report. |
Web and app development
| Skill | Purpose |
|---|---|
| adsense | Publisher monetization, ad placement, policy, and performance. |
| astryx | Build interfaces with the Astryx design system. |
| dokploy-best-practices | Deploy and operate applications with Dokploy. |
| extract-theme | Extract a website's design tokens for Tailwind and shadcn/ui. |
| nextjs | Build and migrate Next.js applications. |
| payload-cms | Model content, access rules, and hooks with Payload CMS. |
| shaders | Add GPU-driven visual effects to React interfaces. |
| swr | Manage React data fetching, caching, and mutations. |
| tanstack-query | Manage asynchronous server state with TanStack Query. |
| tanstack-router | Build type-safe routes with TanStack Router. |
| tanstack-start | Build full-stack applications with TanStack Start. |
| tanstack-store | Manage reactive client state with TanStack Store. |
| tauri | Build and validate Tauri desktop and mobile applications. |
| vite-plus | Configure Vite+ tooling, checks, and workspace tasks. |
| web-assets-optimization | Optimize images, video, fonts, SVG, and asset delivery. |
| web-extension | Build and package browser extensions. |
| zod | Validate data and evolve schemas with Zod. |
Game development
| Skill | Purpose |
|---|---|
| figma-to-unity | Implement Figma designs in Unity UI Toolkit. |
| unity | Choose the appropriate tools for Unity development tasks. |
Contribute
Found a problem? Open an issue with the skill name, agent and version, expected result, and actual result. Remove secrets and private project data from examples.
For repository changes, read AGENTS.md for contribution boundaries
and validation. A skill lives at skills/<section>/<name>/SKILL.md; supporting
references and helpers stay in its folder. Keep the README catalog and
marketplace manifest aligned with skill folders.
Licensed under MIT.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.