yetone/native-feel-skillPublic

An Agent Skill for designing cross-platform desktop apps that feel native — distilled from Raycast's 2.0 deep-dive and reverse engineering of Raycast Beta.app. Eight architectural tenets, four-layer architecture, WebKit/WebView2 survival guide, 75-item ship audit.

AI summary: An AI agent skill guiding the architecture of cross-platform desktop apps that achieve near-native performance and feel.

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MITCreated May 14, 2026Last push 4mo ago+9 stars this week+19 this month

Quick answers

What is native-feel-skill?
An AI agent skill guiding the architecture of cross-platform desktop apps that achieve near-native performance and feel.
What does native-feel-skill do?
This repository provides a specialized prompt engineering framework and skill set for AI agents, distilled from a deep dive into Raycast's architecture. It instructs agents on how to strictly guide developers in building cross-platform desktop apps using web technologies that achieve true near-native performance and polish. The skill comprehensively encompasses a four-layer architecture, WebKit/WebView2 survival strategies, memory management truths, and an extensive 75-item launch audit. It helps teams resolve the intense tension between convenient cross-platform web development and the high aesthetic and performance polish expected of native operating system applications.
Who is native-feel-skill for?
Architects, tech leads, and frontend engineers building high-performance cross-platform desktop applications who absolutely refuse to compromise on native feel and performance.
How do I get started with native-feel-skill?
npx skills add yetone/native-feel-skill -g
How popular is native-feel-skill on GitHub?
yetone/native-feel-skill has 1,922 stars and 79 forks on GitHub, and gained 9 stars in the last 7 days.
What license does native-feel-skill use?
yetone/native-feel-skill is released under the MIT license.

Star history

since Jul 29, 2026
05001K1.5KJul 2026Aug 2026Sep 2026Oct 2026
1.9K stars as of Oct 3, 2026. Measured daily since Jul 29, 2026; GitHub no longer exposes earlier star timestamps.

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  • Permissive license

    MIT

What native-feel-skill does

This repository provides a specialized prompt engineering framework and skill set for AI agents, distilled from a deep dive into Raycast's architecture. It instructs agents on how to strictly guide developers in building cross-platform desktop apps using web technologies that achieve true near-native performance and polish. The skill comprehensively encompasses a four-layer architecture, WebKit/WebView2 survival strategies, memory management truths, and an extensive 75-item launch audit. It helps teams resolve the intense tension between convenient cross-platform web development and the high aesthetic and performance polish expected of native operating system applications.

Architects, tech leads, and frontend engineers building high-performance cross-platform desktop applications who absolutely refuse to compromise on native feel and performance.

  • Architectural Guidance: Instructs agents to enforce a four-layer stack consisting of a native shell, system WebView, Node backend, and Rust core.
  • WebView Survival Guide: Details specific, tested flags and configurations to eliminate WebView quirks like startup flicker and context menus.
  • Native Feel Audit: Includes a comprehensive 75-item checklist to guarantee web-based UIs pass for authentic native applications.
  • IPC Design Patterns: Guides the creation of a single, strongly-typed Inter-Process Communication schema across multiple application runtimes.
  • Agent Integration: Packaged exactly as a standard Agent Skill, allowing compatible AI assistants to seamlessly load and utilize the knowledge.

Where teams use it

Application Refactoring

Using the agent to run the 75-item audit on an existing Electron app to identify and fix specific 'web-y' UI tells and performance issues.

Greenfield Architecture

Consulting the agent to design the exact IPC contract and layer boundaries for a highly performant new macOS/Windows productivity tool.

WebView Debugging

Asking the agent how to decisively eliminate specific visual artifacts like white flashes when a WebView window is abruptly shown or hidden.

Memory Optimization

Using the detailed memory truths guide to understand real application footprint versus the misleading metrics that Activity Monitor reports.

Getting started: npx skills add yetone/native-feel-skill -g

README

master branch

native-feel.skill

"Cross-platform development AND near-native performance — refuse the trade-off."

License: MIT Agent Skill


An Agent Skill for designing cross-platform desktop apps that feel native — distilled from Raycast's 2.0 technical deep-dive and grounded in reverse-engineering of the shipping Raycast Beta.app binary.

Two goals usually pull against each other: convenient cross-platform development, and near-native performance. This skill captures the structural choices — eight architectural tenets, a four-layer architecture, a WebKit/WebView2 survival guide, a 75-item ship audit — that let an app have both.


Install — pick one:

A. With skills (any compatible agent):

npx skills add yetone/native-feel-skill -g

The -g flag installs globally (user-level) so every project picks it up.

B. Or paste this prompt to your AI agent:

Install the native-feel skill for me:

1. Clone https://github.com/yetone/native-feel-skill into your
   user-level skills directory as `native-feel-cross-platform-desktop/`
   (whatever path your agent reads skills from on this machine — e.g.
   `~/.claude/skills/` for Claude Code).
2. Verify that SKILL.md plus the references/ and checklists/ subdirs
   are present.
3. Confirm the install path when done.

Use cases

Once installed, the skill activates automatically whenever the conversation touches cross-platform desktop architecture, WebView quirks, or making a UI feel native. Two common ways to use it:

Case 1 — Refactor an existing app to feel more native

You have an Electron / Tauri / web-wrapped app, and a designer (or your own eye) tells you it feels web-y. You want to know where to start and how far you can take it without a full rewrite.

You    ❯ My Electron app feels web-y on macOS — the designer says it
         doesn't pass for a real Mac app. Where do I start?

Agent  ❯ Quickest path is the 75-item native-feel audit
         (checklists/ship-readiness.md). Most Electron apps fail
         the same 6–8 items:
           - cursor:pointer on rows (item 21)
           - web-style modal overlays instead of native sheets (19)
           - hardcoded brand accent instead of system accent (33)
           - page fade-transitions (40)
           - opaque window background instead of platform material (31)
           - WebKit context menu still firing (23)
         Each is a 5-to-30-minute fix; together they move you most
         of the way to "passes the 30-second skeptical user test."

         Bigger question first: how far do you need to go? If "good
         enough" means passing that 30-second test, Electron + this
         audit gets you 80% there without rewriting. If you want
         "indistinguishable from a Mac app" — Liquid Glass materials,
         native popovers, sub-200ms launch — Electron has a ceiling
         you'll hit. Want me to run the decision tree first?

Case 2 — Build a cross-platform native-feel app from scratch

Greenfield project, must run on macOS + Windows, and the native feel is the point — a launcher, a productivity tool, an AI workspace your users live in all day.

You    ❯ Starting a new desktop app — macOS + Windows, native feel
         is the whole pitch. What architecture should I use?

Agent  ❯ Before architecture, the decision tree
         (checklists/decision-tree.md) rules this stack out for
         several common shapes — quick check first:
           - Cold-start budget?  (<100ms → build native instead)
           - Memory floor?       (<150MB → build native instead)
           - Extension ecosystem? (yes → need the Node layer)
           - Runway?             (<3mo → start on Electron)

         If you pass, the four-layer architecture is:

           ┌──────────────────────────────────────────────────┐
           │ Native shell      Swift/AppKit  +  C#/WPF        │
           │       ↕   one IPC schema, codegen for all sides  │
           │ System WebView    WKWebView    +  WebView2       │
           │   running React + TypeScript, shared 1:1         │
           │       ↕                                          │
           │ Node backend      single long-lived process      │
           │       ↕                                          │
           │ Rust core         UniFFI-bridged, sharable       │
           │                   with iOS and server            │
           └──────────────────────────────────────────────────┘

         The expensive-to-get-wrong decisions, in order:
           1. The IPC contract (one schema, codegen). Get this wrong
              and you rebuild it later under duress.
           2. WebView survival flags (occlusion off, alpha-prewarm,
              _doAfterNextPresentationUpdate, font prewarming).
           3. Memory hygiene (lazy-load extensions, tear down
              secondary windows aggressively).

         Want to start with the seam — where to draw the cross-
         platform line — or with the IPC contract, since getting
         that schema wrong means rebuilding every bridge later?

Other things the skill is good for

  • "Why is my WKWebView flickering when I hide and re-show it?" → walks you through references/03-webview-survival.md (most likely A.1 throttling or A.2 startup flicker).
  • "How should typed IPC work across Rust, Swift, and TypeScript?" → the UniFFI-based pattern in references/04-ipc-contract.md, with the exact Coordinator/EventHandler shape Raycast Beta ships.
  • "My app is at 450 MB resident, is that bad?" → the six common Activity-Monitor mistakes and what to actually measure, in references/05-memory-truths.md.
  • "Is my designer's spec ‘native enough’?" → the 70+ item conventions audit in references/06-native-conventions.md.

"We're not a web app with some native hooks sprinkled on top. We're a native app that uses web for its UI." — Raycast

What this is

A reference for architects, tech leads, and engineers who must build a desktop app that:

  • runs on macOS + Windows (optionally Linux) from a single UI codebase,
  • launches in under 500 ms and stays under 500 MB resident,
  • is indistinguishable from a native app to its users (no cursor: pointer tell-tales, no white-flash on launch, no WebKit context menu, no smooth-scroll JS),
  • supports a plugin/extension ecosystem in TypeScript,
  • can share performance-critical code with iOS and a server backend.

This is the four-layer architecture: native shell → system WebView (WKWebView/WebView2) → Node backend → Rust core, wired together with a single typed IPC schema that generates clients for every runtime.

What this is not

  • Not for single-OS apps (just build native).
  • Not for Electron-style "good enough" apps (the polish budget here is 5–10× higher).
  • Not for apps with strict <150 MB or <100 ms cold-start budgets (the floor is real).
  • Not for games, document editors, or media players.

Run checklists/decision-tree.md to find out if this architecture is even right for your project. It rules itself out for several common cases — saying so directly is more useful than over-fitting advice.

Layout

native-feel-skill/
├── SKILL.md                                # entry point for the agent
├── references/
│   ├── 01-philosophy.md                    # 8 tenets that drive every decision
│   ├── 02-architecture.md                  # the four-layer architecture
│   ├── 03-webview-survival.md              # WebKit/WebView2 quirks + fixes (the goldmine)
│   ├── 04-ipc-contract.md                  # typed IPC across Rust/Swift/C#/TS
│   ├── 05-memory-truths.md                 # why Activity Monitor lies
│   ├── 06-native-conventions.md            # 70+ items the native-feel audit checks
│   └── 07-evidence-raycast.md              # what a reverse-eng. of Raycast Beta shows
└── checklists/
    ├── decision-tree.md                    # should you use this architecture?
    └── ship-readiness.md                   # 75-item launch audit

Philosophy

The central tension this architecture resolves: how can a desktop app deliver convenient cross-platform development AND near-native performance, when those goals usually pull against each other? Eight tenets name the structural moves:

  1. Place the seam at the rendering surface — share above the WebView, diverge below it; this is the only altitude where both DX and native feel survive.
  2. One schema, many languages — pay the polyglot tax once at the declaration, never at the call site.
  3. Adopt the platform; don't compete with it — the OS draws blur, scrolling, materials, and dark mode better than you can.
  4. Performance is a property of perception — what the user feels, not what Activity Monitor reports.
  5. The short iteration loop is the product — 200 ms hot reload vs 30 s native rebuild is a 150× compounding advantage.
  6. Cross boundaries intentionally — IPC has a cost; design every crossing as async, batched, schema-typed.
  7. Identity is muscle memory — the hotkey, the rank order, the verbs are the app; everything else is implementation.
  8. Separate baseline from margin — the WebView+Node floor is rented; only your dirty pages are yours to optimize.

Read references/01-philosophy.md first. Everything else is consequence.

About Agent Skills

Agent Skills are the emerging standard for packaging domain knowledge that any compatible agent (Claude Code, the Claude Agent SDK, or other Agent-Skill-aware runtimes) can discover and load. Once installed via the prompt at the top of this README, the skill activates automatically when the agent's conversation touches cross-platform desktop architecture, WebView quirks, or Raycast-style apps — the trigger conditions are declared in SKILL.md's frontmatter.

Sources

License

MIT — see LICENSE.

Credits

Authored as an Agent Skill. The architecture this skill describes is Raycast's; the philosophy is the author's synthesis; the evidence is from the shipping app.

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When work happens

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Commit volume by weekday and hour (UTC). Larger dots mean more commits.

Who is committing

last 52 weeks
Maintainer commits6 (75%)
Community commits2 (25%)

8 commits in total over the last year.

DateListRankStars gained
May 15, 2026daily#13+89
  • sindresorhus/awesome

    😎 Awesome lists about all kinds of interesting topics [NOTE: Pull requests are temporarily disabled until I have a chance to catch up with the existing ones]

    514.6K stars

  • jwasham/coding-interview-university

    A complete computer science study plan to become a software engineer.

    362.3K stars

  • awesome-selfhosted/awesome-selfhosted

    A list of Free Software network services and web applications which can be hosted on your own servers

    323.8K stars

  • trimstray/the-book-of-secret-knowledge

    A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.

    247.8K stars

  • multica-ai/andrej-karpathy-skills

    A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.

    216.8K stars

  • x1xhlol/system-prompts-and-models-of-ai-tools

    FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, VSCode Agent, Warp.dev, Windsurf, Xcode, Z.ai Code, Dia & v0. (And other Open Sourced) System Prompts, Internal Tools & AI Models

    144K stars