19 skills found
aralroca / JanuxJanux - One component, two faces: UI for humans, MCP tools for AI agents. The agent-native fullstack framework.
manascb1344 / together-mcp-serverMCP server enabling high-quality image generation via Together AI's Flux.1 Schnell model.
pierceboggan / nano-banana-mcpAn MCP server for generating images.
symgraph / BinAssistMCPBinary Ninja plugin to provide MCP functionality.
zjinhu / SwiftMeshswift砖块系列:基于Alamofire5的Combine封装,更加快捷的发起网络请求,支持SwiftUI
mormorbump / memoryfsmによる状態遷移のサンプル
Remy2404 / PolymindA powerful, multi-modal Telegram bot leveraging cutting-edge AI technologies including Gemini, DeepSeek, OpenRouter, and 50+ AI models for comprehensive conversational assistance, media processing, and collaborative features with MCP (Model Context Protocol) integration.
leye195 / figma-to-code피그마 설계를 분석하여 Dan DevLog (v2) 프로젝트의 Tailwind CSS v4 기반 기술 스택 및 컨벤션에 맞춰 코드로 변환합니다. src/components/common 내의 Flex, Button 등 커스텀 컴포넌트를 우선적으로 활용합니다.
KuaaMU / mcp-vision-bridgeMCP server that gives text-only LLM coding agents vision — analyze images via any multimodal model (mimo, Claude, Gemini, OpenAI-compatible). Works with Claude Code, Codex, Kimi, opencode, PI.
HazyResearch / minionsBig & Small LLMs working together
Agents365-ai / tldraw-skillWhiteboard tldraw diagrams (.tldr) from natural language with 6 presets and vision-based self-check. PNG/SVG export, multi-agent.
strukto-ai / mirageThe World's First Unified Virtual Filesystem For AI Agents
ncmonx / icemageToken-efficient context engine for AI coding agents. v2.21.0: brain+token trio — session-aware recall delta, contradiction sentinel, adaptive recall depth. 2416 tests, 42 MCP tools, Elastic-2.0.
kitlau86 / agent-vision-mcpAn MCP server that gives non-vision LLMs the ability to "see" images. Plug in any OpenAI-compatible vision API (Gemini, Qwen-VL, OpenAI, or self-hosted) and your text-only model — like DeepSeek in Claude Code — can analyze screenshots, OCR text, read charts, and more.
SuperdeMan / cockpit-agent面向智能座舱的云边协同 AI Agent:端侧毫秒级车控,云端声明式 Multi-Agent 与 Skill/DAG 编排,支持 S2S 实时语音、声纹多用户、视觉与 HMI;LLM 只负责理解与规划,VAL 负责确定性安全执行。
remete618 / widemem-aiNext-gen AI memory layer with importance scoring, temporal decay, hierarchical memory, and YMYL prioritization
FishWoWater / trellis_mcpModel Context Protocol(MCP) for TRELLIS(SOTA text-to-3d/image-to-3d) models
SamurAIGPT / Generative-Media-SkillsMulti-modal Generative Media Skills for AI Agents (Claude Code, Cursor, Gemini CLI). High-quality image, video, and audio generation powered by muapi.ai.
GLips / Figma-Context-MCPMCP server to provide Figma layout information to AI coding agents like Cursor