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Use when wiring Logger events or inspecting logs for windows, sidebars, menus, and actions.",{"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},"Observability","observability","tag",{"name":17,"slug":18,"type":15},"macOS","macos",{"name":20,"slug":21,"type":15},"Desktop","desktop",{"name":23,"slug":24,"type":15},"Debugging","debugging",3992,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins","2026-04-08T20:37:40.837248",null,465,[],{"repoUrl":26,"stars":25,"forks":29,"topics":32,"description":33},[],"OpenAI Plugins","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins\u002Ftree\u002FHEAD\u002Fplugins\u002Fbuild-macos-apps\u002Fskills\u002Ftelemetry","---\nname: telemetry\ndescription: Add and verify lightweight macOS runtime telemetry. Use when wiring Logger events or inspecting logs for windows, sidebars, menus, and actions.\n---\n\n# Telemetry\n\n## Quick Start\n\nUse this skill to add lightweight app instrumentation that helps debug behavior\nwithout turning the codebase into a logging landfill. Prefer Apple's unified\nlogging APIs and verify the events after a build\u002Frun loop.\n\n## Core Guidelines\n\n- Prefer `Logger` from the `OSLog` framework for structured app logs.\n- Give each feature a clear subsystem\u002Fcategory pair so runtime filtering stays easy.\n- Log meaningful user and app lifecycle events: window opening, sidebar selection changes, menu commands, menu bar extra actions, sync\u002Fload milestones, and unexpected fallback paths.\n- Keep info logs concise and stable. Use debug logs for noisy state details.\n- Do not log secrets, auth tokens, personal data, or raw document contents.\n- Add signposts only when measuring timing or performance spans; do not overinstrument by default.\n\n## Minimal Logger Pattern\n\n```swift\nimport OSLog\n\nprivate let logger = Logger(\n  subsystem: Bundle.main.bundleIdentifier ?? \"SampleApp\",\n  category: \"Sidebar\"\n)\n\n@MainActor\nfunc selectItem(_ item: SidebarItem) {\n  logger.info(\"Selected sidebar item: \\(item.id, privacy: .public)\")\n  selection = item.id\n}\n```\n\nUse feature-specific categories like `Windowing`, `Commands`, `MenuBar`, `Sidebar`,\n`Sync`, or `Import` so logs can be filtered quickly.\n\n## Workflow\n\n1. Identify the behavior that needs observability.\n   - Window open\u002Fclose\n   - Sidebar or inspector selection changes\n   - Menu or keyboard command actions\n   - Menu bar extra actions\n   - Background load\u002Fsync\u002Fimport events\n   - Error and recovery paths\n\n2. Add the smallest useful instrumentation.\n   - Create one `Logger` per feature area or type.\n   - Log action boundaries and key state transitions.\n   - Prefer one high-signal line per user action over noisy value dumps.\n\n3. Build and run the app.\n   - Use `build-run-debug` for the build\u002Frun loop.\n   - If `script\u002Fbuild_and_run.sh` exists, prefer `.\u002Fscript\u002Fbuild_and_run.sh --telemetry` for live telemetry checks or `.\u002Fscript\u002Fbuild_and_run.sh --logs` for broader process logs.\n   - Exercise the UI or command path that should emit telemetry.\n\n4. Read runtime logs and verify the event fired.\n   - Use Console.app with a process\u002Fsubsystem filter when that is the fastest manual check.\n   - Use `log stream --style compact --predicate 'process == \"AppName\"'` for live terminal verification.\n   - Prefer tighter predicates when you know the subsystem\u002Fcategory:\n     `log stream --style compact --predicate 'subsystem == \"com.example.app\" && category == \"Sidebar\"'`\n\n5. Tighten or remove instrumentation.\n   - If the event fires, keep only the logs that remain useful for future debugging.\n   - If it does not fire, move the log closer to the suspected control path and rerun.\n\n## Verification Checklist\n\n- The app builds after telemetry changes.\n- The relevant action emits exactly one clear log line or a small bounded sequence.\n- The log can be filtered by process, subsystem, or category.\n- No sensitive payloads are written to unified logs.\n- Noisy temporary debug logs are removed or demoted before finishing.\n\n## Guardrails\n\n- Do not use `print` as the primary app telemetry mechanism for macOS app code.\n- Do not leave a dense trail of permanent debug logs around every state mutation.\n- Do not claim an event is wired correctly until you have a concrete verification path through Console, `log stream`, or captured process output.\n- If the debugging task is mostly about crash\u002Fbacktrace analysis rather than action telemetry, switch to `build-run-debug`.\n",{"data":37,"body":38},{"name":4,"description":6},{"type":39,"children":40},"root",[41,49,56,62,68,120,126,247,298,304,485,491,519,525,571],{"type":42,"tag":43,"props":44,"children":45},"element","h1",{"id":4},[46],{"type":47,"value":48},"text","Telemetry",{"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 add lightweight app instrumentation that helps debug behavior\nwithout turning the codebase into a logging landfill. 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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},[646,649,652],{"name":647,"slug":648,"type":15},"API Development","api-development",{"name":650,"slug":651,"type":15},"CLI","cli",{"name":653,"slug":654,"type":15},"Codex","codex","2026-04-12T05:07:04.132762",{"slug":657,"name":657,"fn":658,"description":659,"org":660,"tags":661,"stars":620,"repoUrl":621,"updatedAt":674},"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},[662,665,668,671],{"name":663,"slug":664,"type":15},"Cloudflare","cloudflare",{"name":666,"slug":667,"type":15},"Cloudflare Pages","cloudflare-pages",{"name":669,"slug":670,"type":15},"Cloudflare Workers","cloudflare-workers",{"name":672,"slug":673,"type":15},"Deployment","deployment","2026-04-12T05:07:14.275118",{"slug":676,"name":676,"fn":677,"description":678,"org":679,"tags":680,"stars":620,"repoUrl":621,"updatedAt":693},"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},[681,684,687,690],{"name":682,"slug":683,"type":15},"Productivity","productivity",{"name":685,"slug":686,"type":15},"Project Management","project-management",{"name":688,"slug":689,"type":15},"Strategy","strategy",{"name":691,"slug":692,"type":15},"Task Management","task-management","2026-05-23T06:17:16.870838",{"slug":695,"name":695,"fn":696,"description":697,"org":698,"tags":699,"stars":620,"repoUrl":621,"updatedAt":709},"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},[700,703,705,708],{"name":701,"slug":702,"type":15},"Design","design",{"name":704,"slug":695,"type":15},"Figma",{"name":706,"slug":707,"type":15},"Frontend","frontend",{"name":636,"slug":637,"type":15},"2026-04-12T05:06:47.939943",{"slug":711,"name":711,"fn":712,"description":713,"org":714,"tags":715,"stars":620,"repoUrl":621,"updatedAt":725},"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},[716,717,720,721,722],{"name":701,"slug":702,"type":15},{"name":718,"slug":719,"type":15},"Design System","design-system",{"name":704,"slug":695,"type":15},{"name":706,"slug":707,"type":15},{"name":723,"slug":724,"type":15},"UI Components","ui-components","2026-05-10T05:59:52.971881",{"slug":727,"name":727,"fn":728,"description":729,"org":730,"tags":731,"stars":620,"repoUrl":621,"updatedAt":739},"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},[732,733,734,737,738],{"name":701,"slug":702,"type":15},{"name":718,"slug":719,"type":15},{"name":735,"slug":736,"type":15},"Documentation","documentation",{"name":704,"slug":695,"type":15},{"name":706,"slug":707,"type":15},"2026-05-16T06:07:47.821474",{"slug":741,"name":741,"fn":742,"description":743,"org":744,"tags":745,"stars":620,"repoUrl":621,"updatedAt":751},"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},[746,747,748,749,750],{"name":701,"slug":702,"type":15},{"name":704,"slug":695,"type":15},{"name":706,"slug":707,"type":15},{"name":723,"slug":724,"type":15},{"name":618,"slug":619,"type":15},"2026-05-16T06:07:40.583615",{"slug":753,"name":753,"fn":754,"description":755,"org":756,"tags":757,"stars":620,"repoUrl":621,"updatedAt":766},"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},[758,761,762,765],{"name":759,"slug":760,"type":15},"Animation","animation",{"name":653,"slug":654,"type":15},{"name":763,"slug":764,"type":15},"Creative","creative",{"name":701,"slug":702,"type":15},"2026-05-02T05:31:48.48485",{"slug":768,"name":768,"fn":769,"description":770,"org":771,"tags":772,"stars":620,"repoUrl":621,"updatedAt":782},"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},[773,774,775,778,781],{"name":763,"slug":764,"type":15},{"name":701,"slug":702,"type":15},{"name":776,"slug":777,"type":15},"Image Generation","image-generation",{"name":779,"slug":780,"type":15},"Images","images",{"name":9,"slug":8,"type":15},"2026-05-15T06:23:24.312127",675,{"items":785,"total":899},[786,803,819,831,849,867,887],{"slug":787,"name":787,"fn":788,"description":789,"org":790,"tags":791,"stars":25,"repoUrl":26,"updatedAt":802},"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},[792,795,798,801],{"name":793,"slug":794,"type":15},"Accessibility","accessibility",{"name":796,"slug":797,"type":15},"Charts","charts",{"name":799,"slug":800,"type":15},"Data Visualization","data-visualization",{"name":701,"slug":702,"type":15},"2026-06-30T19:00:57.102",{"slug":804,"name":804,"fn":805,"description":806,"org":807,"tags":808,"stars":25,"repoUrl":26,"updatedAt":818},"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},[809,812,815],{"name":810,"slug":811,"type":15},"Agents","agents",{"name":813,"slug":814,"type":15},"Browser Automation","browser-automation",{"name":816,"slug":817,"type":15},"Testing","testing","2026-04-06T18:41:03.44016",{"slug":820,"name":820,"fn":821,"description":822,"org":823,"tags":824,"stars":25,"repoUrl":26,"updatedAt":830},"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},[825,826,829],{"name":813,"slug":814,"type":15},{"name":827,"slug":828,"type":15},"Local Development","local-development",{"name":816,"slug":817,"type":15},"2026-04-06T18:41:17.526867",{"slug":832,"name":832,"fn":833,"description":834,"org":835,"tags":836,"stars":25,"repoUrl":26,"updatedAt":848},"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},[837,838,839,842,845],{"name":810,"slug":811,"type":15},{"name":669,"slug":670,"type":15},{"name":840,"slug":841,"type":15},"SDK","sdk",{"name":843,"slug":844,"type":15},"Serverless","serverless",{"name":846,"slug":847,"type":15},"WebSockets","websockets","2026-04-06T18:39:51.717063",{"slug":850,"name":850,"fn":851,"description":852,"org":853,"tags":854,"stars":25,"repoUrl":26,"updatedAt":866},"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},[855,856,859,862,863],{"name":706,"slug":707,"type":15},{"name":857,"slug":858,"type":15},"React","react",{"name":860,"slug":861,"type":15},"shadcn\u002Fui","shadcn-ui",{"name":723,"slug":724,"type":15},{"name":864,"slug":865,"type":15},"Vercel","vercel","2026-04-06T18:40:59.619419",{"slug":868,"name":868,"fn":869,"description":870,"org":871,"tags":872,"stars":25,"repoUrl":26,"updatedAt":886},"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},[873,876,879,882,885],{"name":874,"slug":875,"type":15},"AI Infrastructure","ai-infrastructure",{"name":877,"slug":878,"type":15},"Cost Optimization","cost-optimization",{"name":880,"slug":881,"type":15},"LLM","llm",{"name":883,"slug":884,"type":15},"Performance","performance",{"name":864,"slug":865,"type":15},"2026-04-06T18:40:44.377464",{"slug":888,"name":888,"fn":889,"description":890,"org":891,"tags":892,"stars":25,"repoUrl":26,"updatedAt":898},"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},[893,894,897],{"name":877,"slug":878,"type":15},{"name":895,"slug":896,"type":15},"Database","database",{"name":880,"slug":881,"type":15},"2026-04-06T18:41:08.513425",600]