[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-openai-swiftui-performance-audit":3,"mdc-eax07s-key":36,"related-org-openai-swiftui-performance-audit":626,"related-repo-openai-swiftui-performance-audit":833},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":25,"repoUrl":26,"updatedAt":27,"license":28,"forks":29,"topics":30,"repo":31,"sourceUrl":34,"mdContent":35},"swiftui-performance-audit","audit SwiftUI runtime performance","Audit SwiftUI runtime performance from code first. Use when diagnosing slow rendering, janky scrolling, expensive updates, or profiling needs.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},"openai","OpenAI","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fopenai.png",[12,16,19,22],{"name":13,"slug":14,"type":15},"Performance","performance","tag",{"name":17,"slug":18,"type":15},"SwiftUI","swiftui",{"name":20,"slug":21,"type":15},"iOS","ios",{"name":23,"slug":24,"type":15},"Mobile","mobile",3992,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins","2026-04-06T18:40:08.283592",null,465,[],{"repoUrl":26,"stars":25,"forks":29,"topics":32,"description":33},[],"OpenAI Plugins","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins\u002Ftree\u002FHEAD\u002Fplugins\u002Fbuild-ios-apps\u002Fskills\u002Fswiftui-performance-audit","---\nname: swiftui-performance-audit\ndescription: Audit SwiftUI runtime performance from code first. Use when diagnosing slow rendering, janky scrolling, expensive updates, or profiling needs.\n---\n\n# SwiftUI Performance Audit\n\n## Quick start\n\nUse this skill to diagnose SwiftUI performance issues from code first, then request profiling evidence when code review alone cannot explain the symptoms.\n\n## Workflow\n\n1. Classify the symptom: slow rendering, janky scrolling, high CPU, memory growth, hangs, or excessive view updates.\n2. If code is available, start with a code-first review using `references\u002Fcode-smells.md`.\n3. If code is not available, ask for the smallest useful slice: target view, data flow, reproduction steps, and deployment target.\n4. If code review is inconclusive or runtime evidence is required, guide the user through profiling with `references\u002Fprofiling-intake.md`.\n5. Summarize likely causes, evidence, remediation, and validation steps using `references\u002Freport-template.md`.\n\n## 1. Intake\n\nCollect:\n- Target view or feature code.\n- Symptoms and exact reproduction steps.\n- Data flow: `@State`, `@Binding`, environment dependencies, and observable models.\n- Whether the issue shows up on device or simulator, and whether it was observed in Debug or Release.\n\nAsk the user to classify the issue if possible:\n- CPU spike or battery drain\n- Janky scrolling or dropped frames\n- High memory or image pressure\n- Hangs or unresponsive interactions\n- Excessive or unexpectedly broad view updates\n\nFor the full profiling intake checklist, read `references\u002Fprofiling-intake.md`.\n\n## 2. Code-First Review\n\nFocus on:\n- Invalidation storms from broad observation or environment reads.\n- Unstable identity in lists and `ForEach`.\n- Heavy derived work in `body` or view builders.\n- Layout thrash from complex hierarchies, `GeometryReader`, or preference chains.\n- Large image decode or resize work on the main thread.\n- Animation or transition work applied too broadly.\n\nUse `references\u002Fcode-smells.md` for the detailed smell catalog and fix guidance.\n\nProvide:\n- Likely root causes with code references.\n- Suggested fixes and refactors.\n- If needed, a minimal repro or instrumentation suggestion.\n\n## 3. Guide the User to Profile\n\nIf code review does not explain the issue, ask for runtime evidence:\n- A trace export or screenshots of the SwiftUI timeline and Time Profiler call tree.\n- Device\u002FOS\u002Fbuild configuration.\n- The exact interaction being profiled.\n- Before\u002Fafter metrics if the user is comparing a change.\n\nUse `references\u002Fprofiling-intake.md` for the exact checklist and collection steps.\n\n## 4. Analyze and Diagnose\n\n- Map the evidence to the most likely category: invalidation, identity churn, layout thrash, main-thread work, image cost, or animation cost.\n- Prioritize problems by impact, not by how easy they are to explain.\n- Distinguish code-level suspicion from trace-backed evidence.\n- Call out when profiling is still insufficient and what additional evidence would reduce uncertainty.\n\n## 5. Remediate\n\nApply targeted fixes:\n- Narrow state scope and reduce broad observation fan-out.\n- Stabilize identities for `ForEach` and lists.\n- Move heavy work out of `body` into derived state updated from inputs, model-layer precomputation, memoized helpers, or background preprocessing. Use `@State` only for view-owned state, not as an ad hoc cache for arbitrary computation.\n- Use `equatable()` only when equality is cheaper than recomputing the subtree and the inputs are truly value-semantic.\n- Downsample images before rendering.\n- Reduce layout complexity or use fixed sizing where possible.\n\nUse `references\u002Fcode-smells.md` for examples, Observation-specific fan-out guidance, and remediation patterns.\n\n## 6. Verify\n\nAsk the user to re-run the same capture and compare with baseline metrics.\nSummarize the delta (CPU, frame drops, memory peak) if provided.\n\n## Outputs\n\nProvide:\n- A short metrics table (before\u002Fafter if available).\n- Top issues (ordered by impact).\n- Proposed fixes with estimated effort.\n\nUse `references\u002Freport-template.md` when formatting the final audit.\n\n## References\n\n- Profiling intake and collection checklist: `references\u002Fprofiling-intake.md`\n- Common code smells and remediation patterns: `references\u002Fcode-smells.md`\n- Audit output template: `references\u002Freport-template.md`\n- Add Apple documentation and WWDC resources under `references\u002F` as they are supplied by the user.\n- Optimizing SwiftUI performance with Instruments: `references\u002Foptimizing-swiftui-performance-instruments.md`\n- Understanding and improving SwiftUI performance: `references\u002Funderstanding-improving-swiftui-performance.md`\n- Understanding hangs in your app: `references\u002Funderstanding-hangs-in-your-app.md`\n- Demystify SwiftUI performance (WWDC23): `references\u002Fdemystify-swiftui-performance-wwdc23.md`\n- In addition to the references above, use web search to consult current Apple Developer documentation when Instruments workflows or SwiftUI performance guidance may have changed.\n",{"data":37,"body":38},{"name":4,"description":6},{"type":39,"children":40},"root",[41,49,56,62,68,121,127,132,172,177,205,216,222,227,283,295,300,318,324,329,352,363,369,392,398,403,464,475,481,486,492,496,514,525,531],{"type":42,"tag":43,"props":44,"children":45},"element","h1",{"id":4},[46],{"type":47,"value":48},"text","SwiftUI Performance Audit",{"type":42,"tag":50,"props":51,"children":53},"h2",{"id":52},"quick-start",[54],{"type":47,"value":55},"Quick start",{"type":42,"tag":57,"props":58,"children":59},"p",{},[60],{"type":47,"value":61},"Use this skill to diagnose SwiftUI performance issues from code first, then request profiling evidence when code review alone cannot explain the symptoms.",{"type":42,"tag":50,"props":63,"children":65},{"id":64},"workflow",[66],{"type":47,"value":67},"Workflow",{"type":42,"tag":69,"props":70,"children":71},"ol",{},[72,78,92,97,109],{"type":42,"tag":73,"props":74,"children":75},"li",{},[76],{"type":47,"value":77},"Classify the symptom: slow rendering, janky scrolling, high CPU, memory growth, hangs, or excessive view updates.",{"type":42,"tag":73,"props":79,"children":80},{},[81,83,90],{"type":47,"value":82},"If code is available, start with a code-first review using ",{"type":42,"tag":84,"props":85,"children":87},"code",{"className":86},[],[88],{"type":47,"value":89},"references\u002Fcode-smells.md",{"type":47,"value":91},".",{"type":42,"tag":73,"props":93,"children":94},{},[95],{"type":47,"value":96},"If code is not available, ask for the smallest useful slice: target view, data flow, reproduction steps, and deployment target.",{"type":42,"tag":73,"props":98,"children":99},{},[100,102,108],{"type":47,"value":101},"If code review is inconclusive or runtime evidence is required, guide the user through profiling with ",{"type":42,"tag":84,"props":103,"children":105},{"className":104},[],[106],{"type":47,"value":107},"references\u002Fprofiling-intake.md",{"type":47,"value":91},{"type":42,"tag":73,"props":110,"children":111},{},[112,114,120],{"type":47,"value":113},"Summarize likely causes, evidence, remediation, and validation steps using ",{"type":42,"tag":84,"props":115,"children":117},{"className":116},[],[118],{"type":47,"value":119},"references\u002Freport-template.md",{"type":47,"value":91},{"type":42,"tag":50,"props":122,"children":124},{"id":123},"_1-intake",[125],{"type":47,"value":126},"1. 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Use when Codex needs to design tools, register UI resources, wire the MCP Apps bridge or ChatGPT compatibility APIs, apply Apps SDK metadata or CSP or domain settings, or produce a docs-aligned project scaffold. Prefer a docs-first workflow by invoking the openai-docs skill or OpenAI developer docs MCP tools before generating code.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[678,681,684,687],{"name":679,"slug":680,"type":15},"Apps SDK","apps-sdk",{"name":682,"slug":683,"type":15},"ChatGPT","chatgpt",{"name":685,"slug":686,"type":15},"MCP","mcp",{"name":9,"slug":8,"type":15},"2026-04-12T05:07:05.468097",{"slug":690,"name":690,"fn":691,"description":692,"org":693,"tags":694,"stars":669,"repoUrl":670,"updatedAt":704},"cli-creator","build CLIs from API docs","Build a composable CLI for Codex from API docs, an OpenAPI spec, existing curl examples, an SDK, a web app, an admin tool, or a local script. Use when the user wants Codex to create a command-line tool that can run from any repo, expose composable read\u002Fwrite commands, return stable JSON, manage auth, and pair with a companion skill.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[695,698,701],{"name":696,"slug":697,"type":15},"API Development","api-development",{"name":699,"slug":700,"type":15},"CLI","cli",{"name":702,"slug":703,"type":15},"Codex","codex","2026-04-12T05:07:04.132762",{"slug":706,"name":706,"fn":707,"description":708,"org":709,"tags":710,"stars":669,"repoUrl":670,"updatedAt":723},"cloudflare-deploy","deploy projects to Cloudflare","Deploy applications and infrastructure to Cloudflare using Workers, Pages, and related platform services. Use when the user asks to deploy, host, publish, or set up a project on Cloudflare.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[711,714,717,720],{"name":712,"slug":713,"type":15},"Cloudflare","cloudflare",{"name":715,"slug":716,"type":15},"Cloudflare Pages","cloudflare-pages",{"name":718,"slug":719,"type":15},"Cloudflare Workers","cloudflare-workers",{"name":721,"slug":722,"type":15},"Deployment","deployment","2026-04-12T05:07:14.275118",{"slug":725,"name":725,"fn":726,"description":727,"org":728,"tags":729,"stars":669,"repoUrl":670,"updatedAt":742},"define-goal","define and set measurable project goals","Help the user define a concrete, measurable goal before starting work, especially when they ask to use the goal tool, create a goal, set an objective, clarify success criteria, or turn a fuzzy intention into a quantitative outcome. Use this skill for goal creation and goal refinement only; it does not manage durable snapshots, decision logs, or long-running execution artifacts.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[730,733,736,739],{"name":731,"slug":732,"type":15},"Productivity","productivity",{"name":734,"slug":735,"type":15},"Project Management","project-management",{"name":737,"slug":738,"type":15},"Strategy","strategy",{"name":740,"slug":741,"type":15},"Task Management","task-management","2026-05-23T06:17:16.870838",{"slug":744,"name":744,"fn":745,"description":746,"org":747,"tags":748,"stars":669,"repoUrl":670,"updatedAt":758},"figma","translate Figma designs into code","Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[749,752,754,757],{"name":750,"slug":751,"type":15},"Design","design",{"name":753,"slug":744,"type":15},"Figma",{"name":755,"slug":756,"type":15},"Frontend","frontend",{"name":685,"slug":686,"type":15},"2026-04-12T05:06:47.939943",{"slug":760,"name":760,"fn":761,"description":762,"org":763,"tags":764,"stars":669,"repoUrl":670,"updatedAt":774},"figma-code-connect-components","connect Figma designs to code components","Connects Figma design components to code components using Code Connect mapping tools. Use when user says \"code connect\", \"connect this component to code\", \"map this component\", \"link component to code\", \"create code connect mapping\", or wants to establish mappings between Figma designs and code implementations. For canvas writes via `use_figma`, use `figma-use`.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[765,766,769,770,771],{"name":750,"slug":751,"type":15},{"name":767,"slug":768,"type":15},"Design System","design-system",{"name":753,"slug":744,"type":15},{"name":755,"slug":756,"type":15},{"name":772,"slug":773,"type":15},"UI Components","ui-components","2026-05-10T05:59:52.971881",{"slug":776,"name":776,"fn":777,"description":778,"org":779,"tags":780,"stars":669,"repoUrl":670,"updatedAt":788},"figma-create-design-system-rules","generate design system rules from Figma","Generates custom design system rules for the user's codebase. Use when user says \"create design system rules\", \"generate rules for my project\", \"set up design rules\", \"customize design system guidelines\", or wants to establish project-specific conventions for Figma-to-code workflows. Requires Figma MCP server connection.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[781,782,783,786,787],{"name":750,"slug":751,"type":15},{"name":767,"slug":768,"type":15},{"name":784,"slug":785,"type":15},"Documentation","documentation",{"name":753,"slug":744,"type":15},{"name":755,"slug":756,"type":15},"2026-05-16T06:07:47.821474",{"slug":790,"name":790,"fn":791,"description":792,"org":793,"tags":794,"stars":669,"repoUrl":670,"updatedAt":800},"figma-implement-design","translate Figma designs into application code","Translates Figma designs into production-ready application code with 1:1 visual fidelity. Use when implementing UI code from Figma files, when user mentions \"implement design\", \"generate code\", \"implement component\", provides Figma URLs, or asks to build components matching Figma specs. For Figma canvas writes via `use_figma`, use `figma-use`.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[795,796,797,798,799],{"name":750,"slug":751,"type":15},{"name":753,"slug":744,"type":15},{"name":755,"slug":756,"type":15},{"name":772,"slug":773,"type":15},{"name":667,"slug":668,"type":15},"2026-05-16T06:07:40.583615",{"slug":802,"name":802,"fn":803,"description":804,"org":805,"tags":806,"stars":669,"repoUrl":670,"updatedAt":815},"hatch-pet","create animated pets for Codex","Create, repair, validate, visually QA, and package Codex-compatible animated pets and pet spritesheets from character art, generated images, company or prospect brand cues, or visual references. Use when a user wants a lightweight-worker Codex pet workflow, a non-pixel custom pet style, a prospect or company mascot pet, or a full 8x9 animated pet atlas with transparent unused cells, QA contact sheets, and pet.json packaging. This skill composes the installed $imagegen system skill for visual generation and uses bundled scripts for deterministic spritesheet assembly.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[807,810,811,814],{"name":808,"slug":809,"type":15},"Animation","animation",{"name":702,"slug":703,"type":15},{"name":812,"slug":813,"type":15},"Creative","creative",{"name":750,"slug":751,"type":15},"2026-05-02T05:31:48.48485",{"slug":817,"name":817,"fn":818,"description":819,"org":820,"tags":821,"stars":669,"repoUrl":670,"updatedAt":831},"imagegen","generate and edit raster images","Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output should be a bitmap asset rather than repo-native code or vector. Do not use when the task is better handled by editing existing SVG\u002Fvector\u002Fcode-native assets, extending an established icon or logo system, or building the visual directly in HTML\u002FCSS\u002Fcanvas.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[822,823,824,827,830],{"name":812,"slug":813,"type":15},{"name":750,"slug":751,"type":15},{"name":825,"slug":826,"type":15},"Image Generation","image-generation",{"name":828,"slug":829,"type":15},"Images","images",{"name":9,"slug":8,"type":15},"2026-05-15T06:23:24.312127",675,{"items":834,"total":946},[835,852,868,880,898,916,934],{"slug":836,"name":836,"fn":837,"description":838,"org":839,"tags":840,"stars":25,"repoUrl":26,"updatedAt":851},"accessibility-and-inclusive-visualization","make data visualizations accessible","Make data visualizations accessible and inclusive. Use when the user needs chart or diagram accessibility guidance, text alternatives for complex visuals, color and contrast review, keyboard support, reduced-motion behavior for animation or parallax, or an accessibility QA workflow for exported figures, UML-like diagrams, and dashboards.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[841,844,847,850],{"name":842,"slug":843,"type":15},"Accessibility","accessibility",{"name":845,"slug":846,"type":15},"Charts","charts",{"name":848,"slug":849,"type":15},"Data Visualization","data-visualization",{"name":750,"slug":751,"type":15},"2026-06-30T19:00:57.102",{"slug":853,"name":853,"fn":854,"description":855,"org":856,"tags":857,"stars":25,"repoUrl":26,"updatedAt":867},"agent-browser","automate browser interactions for agents","Browser automation CLI for AI agents. Use when the user needs to interact with websites, verify dev server output, test web apps, navigate pages, fill forms, click buttons, take screenshots, extract data, or automate any browser task. Also triggers when a dev server starts so you can verify it visually.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[858,861,864],{"name":859,"slug":860,"type":15},"Agents","agents",{"name":862,"slug":863,"type":15},"Browser Automation","browser-automation",{"name":865,"slug":866,"type":15},"Testing","testing","2026-04-06T18:41:03.44016",{"slug":869,"name":869,"fn":870,"description":871,"org":872,"tags":873,"stars":25,"repoUrl":26,"updatedAt":879},"agent-browser-verify","verify dev server output with automated browser","Automated browser verification for dev servers. Triggers when a dev server starts to run a visual gut-check with agent-browser — verifies the page loads, checks for console errors, validates key UI elements, and reports pass\u002Ffail before continuing.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[874,875,878],{"name":862,"slug":863,"type":15},{"name":876,"slug":877,"type":15},"Local Development","local-development",{"name":865,"slug":866,"type":15},"2026-04-06T18:41:17.526867",{"slug":881,"name":881,"fn":882,"description":883,"org":884,"tags":885,"stars":25,"repoUrl":26,"updatedAt":897},"agents-sdk","build AI agents on Cloudflare Workers","Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, or chat applications. Covers Agent class, state management, callable RPC, Workflows integration, and React hooks. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[886,887,888,891,894],{"name":859,"slug":860,"type":15},{"name":718,"slug":719,"type":15},{"name":889,"slug":890,"type":15},"SDK","sdk",{"name":892,"slug":893,"type":15},"Serverless","serverless",{"name":895,"slug":896,"type":15},"WebSockets","websockets","2026-04-06T18:39:51.717063",{"slug":899,"name":899,"fn":900,"description":901,"org":902,"tags":903,"stars":25,"repoUrl":26,"updatedAt":915},"ai-elements","build chat UIs with AI Elements","AI Elements component library guidance — pre-built React components for AI interfaces built on shadcn\u002Fui. Use when building chat UIs, message displays, tool call rendering, streaming responses, reasoning panels, or any AI-native interface with the AI SDK.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[904,905,908,911,912],{"name":755,"slug":756,"type":15},{"name":906,"slug":907,"type":15},"React","react",{"name":909,"slug":910,"type":15},"shadcn\u002Fui","shadcn-ui",{"name":772,"slug":773,"type":15},{"name":913,"slug":914,"type":15},"Vercel","vercel","2026-04-06T18:40:59.619419",{"slug":917,"name":917,"fn":918,"description":919,"org":920,"tags":921,"stars":25,"repoUrl":26,"updatedAt":933},"ai-gateway","configure Vercel AI Gateway","Vercel AI Gateway expert guidance. Use when configuring model routing, provider failover, cost tracking, or managing multiple AI providers through a unified API.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[922,925,928,931,932],{"name":923,"slug":924,"type":15},"AI Infrastructure","ai-infrastructure",{"name":926,"slug":927,"type":15},"Cost Optimization","cost-optimization",{"name":929,"slug":930,"type":15},"LLM","llm",{"name":13,"slug":14,"type":15},{"name":913,"slug":914,"type":15},"2026-04-06T18:40:44.377464",{"slug":935,"name":935,"fn":936,"description":937,"org":938,"tags":939,"stars":25,"repoUrl":26,"updatedAt":945},"ai-generation-persistence","implement persistence patterns for AI generations","AI generation persistence patterns — unique IDs, addressable URLs, database storage, and cost tracking for every LLM generation",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[940,941,944],{"name":926,"slug":927,"type":15},{"name":942,"slug":943,"type":15},"Database","database",{"name":929,"slug":930,"type":15},"2026-04-06T18:41:08.513425",600]