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By robinebers
Use OpenAI Developers in Codex to build AI applications, agents, and ChatGPT Apps with OpenAI docs, the OpenAI API, Apps SDK, and Agents SDK. Connect to the OpenAI Platform (platform.openai.com) and see your Codex-built apps work right out of the box with real OpenAI API keys. Run and locally deploy Agents SDK projects through the Deployment Manager, scaffold ChatGPT Apps, and prepare ChatGPT Apps submission artifacts.
npx claudepluginhub robinebers/converted-plugins --plugin openai-developersBuild, run, deploy, and evaluate OpenAI Agents SDK apps from Codex. Use when the user asks to create or adapt an Agents SDK app, build from a prompt or Codex thread, prepare a runnable agent prototype, add a focused eval harness, or deploy locally through the Agents SDK Deployment Manager.
Build, scaffold, refactor, and troubleshoot ChatGPT Apps SDK applications that combine an MCP server and widget UI. 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.
Inspect a ChatGPT Apps MCP server codebase and generate chatgpt-app-submission.json with app info suggestions, tool hint justifications, test cases, and negative test cases, then report review-check findings and outputSchema warnings for submission review.
Use when an OpenAI API request fails and Codex needs to classify the likely cause, explain the next step, and route to the right follow-up. Covers common runtime failures such as blocked outbound network access, invalid credentials, exhausted API quota or credits, rate limits, and model, project, or organization access issues; delegate key provisioning to openai-platform-api-key and current documentation lookups to openai-docs.
Use for building, running, testing, debugging, or configuring apps, UIs, scripts, CLIs, generators, and tools that use AI, including AI-powered apps, apps that generate output with AI, and user-input-driven AI features. Treat unspecified AI in build requests as OpenAI API usage unless the user names another provider or says not to use OpenAI. First inspect credentials safely, then ask whether to reuse an existing key or create one before API-dependent implementation. Also use for OPENAI_API_KEY or sk-proj setup requests. Never expose plaintext.
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Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Develop, test, build, and deploy Godot 4.x games with Claude Code. Includes GdUnit4 testing, web/desktop exports, CI/CD pipelines, and deployment to Vercel/GitHub Pages/itch.io.
Use this agent when you need expert assistance with React Native development tasks including code analysis, component creation, debugging, performance optimization, or architectural decisions. Examples: <example>Context: User is working on a React Native app and needs help with a navigation issue. user: 'My stack navigator isn't working properly when I try to navigate between screens' assistant: 'Let me use the react-native-dev agent to analyze your navigation setup and provide a solution' <commentary>Since this is a React Native specific issue, use the react-native-dev agent to provide expert guidance on navigation problems.</commentary></example> <example>Context: User wants to create a new component that follows the existing app structure. user: 'I need to create a custom button component that matches our app's design system' assistant: 'I'll use the react-native-dev agent to create a button component that aligns with your existing codebase structure and design patterns' <commentary>The user needs React Native component development that should follow existing patterns, so use the react-native-dev agent.</commentary></example>
UI/UX design intelligence. 67 styles, 161 palettes, 57 font pairings, 25 charts, 15 stacks (React, Next.js, Vue, Svelte, Astro, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui, Nuxt, Jetpack Compose). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient.
Design fluency for frontend development. 1 skill with 23 commands (/impeccable polish, /impeccable audit, /impeccable critique, etc.) and curated anti-pattern detection.
Next.js 16 frontend development skill with modern patterns
Deep analysis agent for duplicate code, unused exports, dead code, and unnecessary dependencies
Use Build iOS Apps to design App Intents and App Shortcuts, build or refactor SwiftUI UI, adopt modern iOS patterns such as Liquid Glass, audit runtime performance, capture ETTrace profiles, investigate memory leaks, and debug apps on simulators with XcodeBuildMCP-backed workflows.
Use Build Web Apps to create frontend application surfaces with Codex-generated visual assets, verify them with the Browser plugin and built-in app browser, compose shadcn/ui, wire Stripe payments, and design or tune Supabase/Postgres data flows.
macOS development workflows for discovering local projects, building and running desktop apps, implementing native SwiftUI scenes, bridging into AppKit when necessary, adding lightweight Logger telemetry, triaging test failures, inspecting signing and entitlements, and debugging desktop-specific build or runtime errors.
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