Find, trial, compare, and govern AI agents before hiring
Prototype, inspect, and improve product UI, UX, and design implementation flows.
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This skill helps you design and optimize cross-platform mobile apps with React Native and Flutter, delivering native-like performance and battery efficiency.
This skill provides expert native iOS and Android development guidance to maximize performance and OS feature integration.
This skill guides Expo managed workflow projects, applying patterns for CNG, routing, dev builds, and EAS workflows to accelerate production ready apps.
This skill helps you implement React Native development patterns using the New Architecture, FlashList optimization, and platform-specific code for iOS and
This skill guides you migrating a web project to a web+mobile monorepo by adding Expo, shared logic, and unified backend integration.
This skill helps you master cross-platform mobile performance by leveraging Expo SDK 54, React Native Fabric, and Compose Multiplatform for native-like 120fps
This skill provides expert guidance across Detox, Maestro, XCUITest, Espresso, and Appium for end-to-end mobile testing.
This skill guides you through configuring and connecting the Minitap mobile-use SDK for iOS and Android, enabling quick mobile automation setup.
This skill helps you configure LLM models for Letta agents, adjusting temperature, tokens, and provider-specific settings across endpoints.
This skill helps you design and implement production-ready model deployment strategies, including serving, packaging, versioning, and scalable infrastructure.
Add new/custom AI models to opencode.json. Use proactively for bleeding-edge releases, non-standard providers, self-hosted models, or custom endpoints. Examples: - user: "Add the new Claude 4.5" → websearch for API specs, add provider entry with baseUrl, verify model ID format - user: "Use my local Ollama instance" → configure custom provider with http://lo...
Choose appropriate model for custom agent tasks. Use when selecting between Haiku, Sonnet, and Opus for agents, optimizing cost vs quality tradeoffs, or matching model capability to task complexity.
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4988 candidates for Design. Open matching profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
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