android-ad-cleaner
关掉国产安卓手机系统里的广告、热搜、资讯推荐和营销推送。不 root,可还原,支持 AI 智能体一键执行。
Browse by the job first: coding, automation, data, research, communication, and security. Then filter by MCP, Skill, CLI, Workflow, compatible agent, source trust, stars, and freshness.
MCP / Skill / CLI / Workflow remain important, but they work better as filters than as the first door.
Cards show value first, then technical type, source evidence, and a quick path to the detail page.
关掉国产安卓手机系统里的广告、热搜、资讯推荐和营销推送。不 root,可还原,支持 AI 智能体一键执行。
可在对话内生成、编辑、对比图像;内置 500 + 提示词、图库、多模型工作流,支持 ComfyUI。AI image studio for DeepSeek Harness — generate, edit & compare images in chat, with 500+ prompts, gallery, multi-model workflows and ComfyUI.
An open-source method and skill set created at Google for spec-driven development with LLMs
A modern & fully featured HTML5 game engine (2D & 3D) for JavaScript/TypeScript, with WebGL/WebGPU rendering, built-in physics, Tiled map & glTF support and WebAudio.
pstack Agent Skills for Claude Code, Codex, Pi, OpenCode, and other agents. Standalone mirror of cursor/plugins/pstack.
Use agent pages after picking the problem space. They explain which tools, skills, MCPs, and workflows fit each agent.
Anthropic's terminal-native coding agent for large repositories, MCP-connected tools, skills, hooks, and team workflows.
china CodeGeeXA China-origin IDE coding assistant focused on completion, explanation, and editor-side developer assistance.
global CodexOpenAI's coding agent for repository implementation, review, verification, and tool-assisted engineering work.
global CursorAn editor-first AI coding environment with agentic IDE workflows, rules, memories, MCP, and cursor-agent CLI support.
global Hermes AgentNous Research's open-source, terminal-oriented agent with skills, MCP integration, local execution, and a large Skills Hub ecosystem.
china Kimi CLI / Kimi AgentMoonshot AI's Kimi agent surface for long-context research, document-heavy workflows, and Kimi Code CLI development tasks.
They explain why the ecosystem is moving, without taking over the tool-first homepage.
This paper introduces an autonomous red teaming framework that combines large language models with reinforcement learning to generate adaptive, multi-stage attack campaigns against AI-enabled security systems. Testing in high-fidelity enterprise simulations reveals that standalone LLM agents cannot sustain complex attacks, while hybrid LLM-RL approaches achieve significantly higher compromise rates, exposing critical vulnerabilities in current AI security defenses.
open_licenseThis paper introduces a multimodal multi-agent framework that automatically executes complex workflows by first constructing a topological knowledge graph from fragmented execution logs (offline), then using adaptive Retrieval-Augmented Generation (RAG) over that graph during inference. A closed-loop verification protocol enables agents to self-correct and navigate non-stationary scenarios, outperforming linear approaches in reliability and semantic awareness.
learnShort explanations for MCP, Skills, Workflows, and agent selection.