Tauri orchestrator
Hub-and-spoke agent-skill clusters, one per stack (Astro·GSAP·Remotion, Tauri, …). Installable via skills.sh.
npx -y skills add Sheshiyer/skill-clusters --skill tauri-orchestratorAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Route a Tauri task to the right skill among 40 Tauri specialists — scaffolding, the security/capability model, IPC and the Rust↔frontend bridge, windows/UI chrome, sidecars, plugins, building, signing, per-platform distribution, debugging, and migration. USE WHEN a user is building, configuring, securing, or shipping a Tauri v2 desktop/mobile app but hasn't named the specific concern.
SKILL.md
4.0 KB, 960 tokens by cl100k_base, as published. Nobody here has run it
Tauri Orchestrator
The single entry skill for Tauri v2 work. It locates the task on the lifecycle ×
concern map and delegates to one of 40 specialist spokes. The cross-cutting model every
Tauri app shares — the capability / permission / scope security system, the IPC trust
boundary, the process model, and the v2 conventions — lives in tauri-core; read it before
configuring permissions or wiring IPC.
Routing map (intent → spoke)
Scaffold & understand
- New project / first run →
setting-up-tauri-projects,tauri-v2 - "How does Tauri actually work?" →
understanding-tauri-architecture,understanding-tauri-process-model,understanding-tauri-runtime-authority,understanding-tauri-lifecycle-security,understanding-tauri-ecosystem-security
Configure the app
- App/config knobs →
configuring-tauri-apps - Security surface (the heart of Tauri) →
configuring-tauri-capabilities,configuring-tauri-permissions,configuring-tauri-scopes,configuring-tauri-csp,configuring-tauri-http-headers(model intauri-core) - Windows / chrome →
customizing-tauri-windows,adding-tauri-splashscreen,adding-tauri-system-tray - Bundled files →
managing-tauri-app-resources
IPC & the Rust ↔ frontend bridge
- Concept →
understanding-tauri-ipc - JS → Rust (commands) →
calling-rust-from-tauri-frontend - Rust → JS (emit/invoke) →
calling-frontend-from-tauri-rust - Events →
listening-to-tauri-events - Wiring a frontend →
integrating-tauri-js-frontends,integrating-tauri-rust-frontends
Extend
- Sidecars / external binaries →
embedding-tauri-sidecars,running-nodejs-sidecar-in-tauri - Plugins →
developing-tauri-plugins,managing-tauri-plugin-permissions
Build, sign, ship
- Optimize / CI →
optimizing-tauri-binary-size,building-tauri-with-github-actions - Sign →
signing-tauri-apps - Per-platform →
distributing-tauri-for-macos,distributing-tauri-for-windows,packaging-tauri-for-linux,distributing-tauri-for-ios,distributing-tauri-for-android - Managed pipeline →
using-crabnebula-cloud-with-tauri
Operate & maintain
- Debug →
debugging-tauri-apps - Test →
testing-tauri-apps - Upgrade / migrate →
updating-tauri-dependencies,migrating-tauri-apps
Standard Operating Flow
- Locate the task: which lifecycle stage (scaffold → configure → bridge → extend → ship → operate) and which concern.
- If it touches permissions, scopes, IPC, or CSP, pull the model from
tauri-corefirst — these are interlocking, not independent. - Delegate to the spoke(s). Multi-step asks fan out in lifecycle order (e.g. "ship to all desktops" → sign → macos + windows + linux).
- Return: chosen spoke(s), the capability/permission changes implied, target platform(s), and the next action.
Guardrails
See tauri-core. In short: default-deny — grant the narrowest capability/permission/scope
that works; keep the CSP strict; never expand the IPC allowlist or filesystem scope without
saying so explicitly; confirm signing identities and per-platform requirements before a release
build. Tauri's value is the locked-down security boundary — don't quietly widen it.
Loading spokes on demand
To keep CLI startup context lean, this cluster's spokes are not separately registered as skills — only this orchestrator and its *-core are enumerated. When you route to a spoke named above, load it on demand by reading its file:
~/.agents/skill-clusters/skills/<spoke-name>/SKILL.md (or skills/<spoke-name>/SKILL.md inside the skill-clusters repo).
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.