agentleFS
anandartinanandartin/celestial-skills/skills/tauri-desktop-app-engineering/AGENTS.md

celestial-skills / tauri-desktop-app-engineering

AGENTS.md1 starsChanged 18 days agoApache-2.0View on GitHub

A small, fast desktop app for macOS, Windows and Linux: a Rust core owns files, data and the OS, and a TypeScript web UI talks to it through typed commands.

The file

We split this AGENTS.md into the rules it gives an agent

8 rules. About 0 are common, 6 are distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈6

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Prefer small, pure functions and explicit types at module boundaries.

    line 30
  2. Distinctive:

    Every async action has loading, empty, error and success states, matching the experience skill.

    line 40
  3. Distinctive:

    Every Rust command validates its arguments (paths canonicalised and checked against an allowed root) before acting.

    line 48
  4. Distinctive:

    Use native elements first.

    line 55
  5. Very specific:

    When a Celestial design skill is in use, write its tokens as CSS custom properties in src/styles/tokens.css, and build its components in …

    line 58
  6. Very specific:

    When a Celestial experience skill is in use, give each journey one end-to-end test (happy path plus its error and empty states) and name …

    line 60
  7. Distinctive:

    Every release has a written rollback path

    line 98
  8. Distinctive:

    Write a blameless note within 48 hours: what happened, impact, fix, prevention

    line 104

≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
AGENTS.md

AGENTS.md — Tauri desktop app

A small, fast desktop app for macOS, Windows and Linux: a Rust core owns files, data and the OS, and a TypeScript web UI talks to it through typed commands.

Setup and commands

  • dev: pnpm tauri dev
  • e2e: pnpm test:e2e
  • lint: pnpm lint && pnpm typecheck && cargo fmt --manifest-path src-tauri/Cargo.toml --check && cargo clippy --manifest-path src-tauri/Cargo.toml -- -D warnings
  • test: cargo test --manifest-path src-tauri/Cargo.toml && pnpm test
  • build: pnpm tauri build
  • install: pnpm install

Project structure

  • src/ — Web UI: routes, features and the typed command client
  • src/components/ — Design-skill components, one folder each with component and test
  • src/lib/commands.ts — Typed wrappers around invoke(); the only place the UI calls Rust
  • src-tauri/src/commands/ — One Rust module per command group; validates input and returns Result
  • src-tauri/capabilities/ — Per-window permission files; reviewed like security code
  • src-tauri/tauri.conf.json — App identity, CSP, windows, bundle targets and updater endpoints
  • src/styles/tokens.css — CSS variables written from the design skill
  • e2e/ — One WebdriverIO spec per experience-skill journey

Code style

  • Files: TypeScript kebab-case.ts, components PascalCase.tsx; Rust snake_case.rs
  • Tests: *.test.tsx beside UI files; Rust #[cfg(test)] modules beside code; e2e/<journey-id>.e2e.ts
  • Branches: type/short-description, e.g. feat/folder-watch
  • Components: PascalCase, named after the design-skill component

Code

  • Prefer small, pure functions and explicit types at module boundaries. (Easier to test, review and change.)
  • The UI calls Rust only through src/lib/commands.ts with shared types generated from the Rust structs. (One typed boundary; a renamed field breaks the build, not a user's session.)

Components

  • Components read design tokens; no raw hex values, pixel sizes or font names in component code. (One token change restyles the product.)

Data

  • Analytics events are object_action in snake_case and come from the experience skill’s measures. (Names stay consistent across teams and tools.)

Errors

  • Every async action has loading, empty, error and success states, matching the experience skill. (Unhandled states are where users get stuck.)
  • Commands return Result<T, AppError> where AppError serialises to a code and a user-safe message; never panic in a command. (The UI can show the right error state, and a panic does not take down the app.)

Security

  • Secrets never live in the repository; read them from the environment or a secret store. (A leaked key outlives the commit that removed it.)
  • Validate every input on the server, even when the client already did. (Clients can be bypassed.)
  • Web pages ship a Content-Security-Policy, HSTS, X-Frame-Options and nosniff. (Cheap protection against the most common attacks.)
  • Grant each window only the permissions it uses, scoped to paths or commands; no wildcard file-system scopes and no shell execution permission. (If the webview is ever compromised, capabilities decide what it can reach.)
  • Every Rust command validates its arguments (paths canonicalised and checked against an allowed root) before acting. (The UI is untrusted input to the core, the same as a network client.)
  • Set a strict CSP in tauri.conf.json; load no remote scripts and no remote URLs in app windows. (Remote content inside a privileged window is the main attack path for desktop web shells.)

Performance

  • Long-running work runs in async commands or spawned tasks and reports progress through events; the UI never blocks on it. (Keeps windows responsive during file scans and sync.)

Accessibility

  • Use native elements first; add ARIA only when no native element fits. (Native controls bring keyboard and screen-reader support for free.)

Design and journeys

When a Celestial design skill is in use, write its tokens as CSS custom properties in src/styles/tokens.css, and build its components in src/components with the same names and variants. Components read tokens only — no raw colours, sizes or font names.

When a Celestial experience skill is in use, give each journey one end-to-end test (happy path plus its error and empty states) and name analytics events object_action from its measures.

Testing and checks (must pass before a pull request)

GateToolThresholdWhen
Lint and typesESLint + tsc + rustfmt + clippy0 errors; clippy warnings fail the buildEvery pull request
Unit and component testsThe stack’s test runnerAll pass; every design-skill component state coveredEvery pull request
Journey testsEnd-to-end runnerOne test per experience-skill journey: happy path + error stateEvery pull request
AccessibilityAutomated audit (axe on web, platform audit on mobile)WCAG 2.2 AA · no new violationsEvery pull request
Performance budgetStartup and memory measurement on CI runnersFirst window painted ≤ 1.5s · idle memory ≤ 150MB · installer ≤ 15MBEvery pull request
Dependency and secret scanDependency audit + secret scannerNo high or critical findings; no secretsEvery pull request and nightly
Capability reviewDiff of src-tauri/capabilities/ + reviewer checklistEvery new permission is scoped and justified in the pull request; 0 wildcard scopesEvery pull request that touches capabilities or plugins

Pull requests

  • Branching: Trunk-based: short-lived branches off main, squash-merged within two days.

Review checklist

  • Correctness: does it do what the issue asks, including edge cases?
  • Readability: could a new teammate change it safely?
  • Architecture: is it in the right place, with the right boundaries?
  • Security: inputs, secrets, permissions, dependencies
  • Performance: budgets, queries, bundle size
  • Tests fail when the code is broken (flip a condition and re-run)
  • One approving review; two for capabilities, updater, file-system or crypto code
  • Reviewer runs the CI-built installer for at least one platform

Definition of done

  • Acceptance criteria met and demoed on the preview link
  • Tests added for new behaviour and every state
  • Accessibility and performance gates green
  • Analytics events named from the experience skill
  • Docs or changelog updated when behaviour changes
  • Built and smoke-tested on macOS, Windows and Linux

Release

  • Small pull requests (aim for under 400 changed lines)
  • CI green before review
  • Squash-merge to main; main is always deployable
  • Every release has a written rollback path
  • Tagged builds produce signed installers and a signed update manifest
  • Updates roll out to an early-access channel for a week before everyone

Incidents

  • Repoint the update manifest to the previous signed version
  • Write a blameless note within 48 hours: what happened, impact, fix, prevention

Generated from the Celestial engineering skill “Tauri desktop app” (engineering core v1.0, checked 2026-10-26).

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.