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native AI Agent Skills

Browse 5 skills related to native

native-notification-builder

376
A5c Ai Babysitter Native Notification BuilderA5c Ai Babysitter Native Notification Builder

Build native OS notifications with actions, images, and progress indicators across platforms

notificationscross-platformnative+2
142 days ago

file-dialog-abstraction

376
a5c-aia5c-ai

Cross-platform file dialog implementation for open, save, and directory selection

filesdialogscross-platform+2
142 days ago

rust-desktop-applications

80
bobmatnycbobmatnyc

Build cross-platform desktop applications with Rust using Tauri framework and native GUI alternatives

rustdesktoptauri+3
142 days ago

nativescript

15
oimiragieooimiragieo

NativeScript best practices and patterns for mobile applications

nativescriptmobilenative+2
141 days ago

senior-ios

arielperez82arielperez82

Native iOS development expertise for Swift 5.9+, SwiftUI, UIKit, and Apple ecosystem integration. Covers modern concurrency, architecture patterns, App Store submission, and Xcode workflows. Use when building iOS-specific features, migrating to SwiftUI, optimizing performance, or submitting to App Store.

iosswiftswiftui+7
141 days ago

FAQ

AgentCC is a discovery hub for AI agent capabilities. We index Agent Skills as the primary dataset, and also organize MCP servers and selected AI tools so developers can quickly find, compare, and evaluate what to integrate into their workflows.
An Agent Skill is a reusable capability package for an AI agent. It can define workflows, tool usage patterns, domain knowledge, or execution rules that help the agent perform more reliably in a specific task or environment.
AgentCC is a resource and discovery layer, not a one-click installer. On each skill page, you should review the repository, file tree, install command, and usage notes, then integrate it according to the runtime or client you are using.
No. AgentCC primarily indexes external repositories and metadata. We help you understand what a skill is, where it comes from, and how it may be used, but execution and security decisions still belong to your own runtime environment.
No directory can guarantee absolute safety. AgentCC can help surface repository links, file structures, and metadata, but you should still verify permissions, external dependencies, API usage, and code quality before using a skill in production or on sensitive machines.
Yes. AgentCC is designed to be an evolving resource graph. As the submission and curation workflow matures, contributors will be able to recommend high-quality skills, MCP servers, and AI tools into the directory.
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