Agent skill that helps AI coding assistants write smarter, modern SwiftUI code with best practices for API usage, design, performance, and accessibility
Skills in this repository
Aradotso/ai-agent-skills - Page 3
SkillsMP has collected 111 skills from Aradotso/ai-agent-skills. Open a skill to review its source and details.
Aradotso/ai-agent-skillsShowing 31 of 111 collected skills.
Navigate the Hermes Agent ecosystem — skills, tools, integrations, deployment, and multi-agent orchestration resources
Build AI agents with in-process agent loops using Anthropic or OpenAI APIs, custom tools, MCP servers, and multi-turn conversations
Install and use World2Agent (W2A) sensors to give AI agents structured, real-time perception of the real world
Build production-ready GenAI agents with stateful workflows, vector memory, deployment, and orchestration using LangGraph and LangChain
Portable .agent/ folder with memory, skills, and protocols that works across Claude Code, Cursor, Windsurf, and other AI coding harnesses
Local-first long-term memory for AI agents with symbolic short-term memory and layered long-term recall via a 4-tier progressive pipeline
Local-first AI coding agent powered by llama.cpp with zero tokens costs, Docker sandboxing, 20 built-in tools, LSP/Roslyn intelligence, and MCP integration
Collection of 131+ specialized Claude Code subagents for development tasks across languages, frameworks, infrastructure, and quality assurance
Build autonomous self-evolving AI agents with vision-grounded memory that operate computers through a perceive-reason-act cycle
Control web interfaces with natural language using Page Agent, a JavaScript in-page GUI agent for browser automation
Visualize and manage Claude Code AI agents as pixel art characters in a VS Code extension office interface
Orchestrate parallel AI coding agents across git worktrees for autonomous CI fixes, code reviews, and PR management
Deploy and manage a self-hosted email client with AI agent on Cloudflare Workers
Deploy and configure Mercury Agent, a soul-driven AI agent with permission-hardened tools, token budgets, and multi-channel access
Generate 2D sprite sheets, animated GIFs, transparent PNGs, layered maps, and engine-ready prototypes for Godot/Unity using Codex-driven asset pipelines.
Self-evolving autonomous agent framework with skill tree growth, browser/desktop/mobile control, and hierarchical memory system
Expert guide for Nous Research's Hermes Agent framework with self-improving learning loops, three-layer memory, and automatic Skill creation
Master context engineering principles for building production-grade AI agent systems with effective context management, multi-agent architectures, and memory systems.
Curated collection of 1000+ agent skills compatible with Claude Code, Codex, Gemini CLI, Cursor, and more
Structured learning roadmap for AI Agent development from LLM basics to multi-agent systems (bilingual Chinese/English)
Specification and SDK for creating Agent Skills - a standard format for giving AI agents new capabilities through discoverable instruction bundles
A minimal teaching framework for understanding AI Agent architecture with core loop, fake LLM interface, and skill discovery system
Add persistent memory to AI coding agents using agentmemory - remembers context, preferences, and decisions across sessions
TypeScript-native multi-agent orchestration framework that decomposes goals into task DAGs automatically with MCP and live tracing
使用 agency-agents-zh 中文 AI 智能体角色库,为 AI 编程工具提供 215 个即插即用的专家角色
Source text: Chinese
Give AI agents eyes to see the internet — scrape Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu with zero API fees
Research repository analyzing Claude Code CLI Agent architecture, tools, telemetry, and internal mechanisms
Browser automation CLI for AI agents - fast native Rust tool for controlling Chrome with accessibility-first commands
Orchestrate multi-agent AI workflows with ultrawork, discipline agents, team mode, and hash-anchored editing for autonomous code development
Production-grade engineering skills for AI coding agents - lifecycle commands, workflow automation, and best practices for software development.