modly-image-to-3d は何をしますか？
画像からローカルAI（GPU上で完全動作）を使って3Dモデルを生成するデスクトップアプリ
画像からローカルAI（GPU上で完全動作）を使って3Dモデルを生成するデスクトップアプリ
このスキルは、デスクトップアプリケーション「modly-image-to-3d」を提供します。ユーザーが提供した画像を入力として、ローカル環境のGPU上で動作するAIモデルを用いて3Dモデルを自動生成します。画像を3Dモデルに変換するプロセスを、クラウドサービスに依存せずにオフラインで実行できるため、プライバシーが重視される用途やインターネット接続が不安定な環境でも利用可能です。主にデスクトッププラットフォーム（Windows、macOS、Linux）をサポートし、CUDA対応のNVIDIA GPUを推奨します。
npx skills add https://github.com/aradotso/trending-skills/tree/main/skills/modly-image-to-3dInstalled? Explore more 画像 skills: steipete/songsee, affaan-m/frontend-design, mattpocock/improve-codebase-architecture · View all 6 →
画像からローカルAI（GPU上で完全動作）を使って3Dモデルを生成するデスクトップアプリ
This repo contains 20 individual skills — each has its own dedicated page.
Self-evolving AI agent system with 26 tools, three-layer memory, MCP plugins, and 24/7 self-repair in pure Python.
A collection of specialized AI agent personalities for Claude Code, Cursor, Aider, Windsurf, and other AI coding tools — covering engineering, design, marketing, sales, and more.
Headless browser automation CLI for AI agents using native Rust binary with Chrome DevTools Protocol
AI coding agent skill for Antigravity Manager — a Tauri v2 + Rust desktop app and Docker service that manages multiple Google/Anthropic accounts and proxies them as standard OpenAI/Anthropic/Gemini API endpoints with intelligent account rotation.
Guide to deploying and managing OpenClaw-compatible AI agent systems across cloud, bare metal, and hybrid infrastructure.
Fully autonomous research pipeline that turns a topic idea into a complete academic paper with real citations, experiments, and conference-ready LaTeX.
Structured prompts, vault templates, and autonomous research workflows for AI-assisted genealogy using Claude Code.
Search and retrieve Norwegian company data from Brønnøysundregistrene (the Norwegian Business Registry). Access all ~1.2 million registered companies in Norway.
Give AI agents access to your live Chrome session via CDP — interact with open tabs, logged-in accounts, and current page state
A Claude Code plugin that displays a real-time HUD showing context usage, active tools, running agents, and todo progress in your terminal statusline.
Enable multiple Claude Code instances to discover each other and exchange messages in real-time via a local broker daemon and MCP server.
Command Line User Interface for Claude Code — a floating macOS desktop overlay with multi-tab sessions, permission approval UI, voice input, and skills marketplace.
AI-native terminal multiplexer with programmable socket API, full Playwright-equivalent browser automation, and agent team coordination — built for Claude Code and autonomous agent workflows
Build a persistent knowledge graph of your codebase so Claude reads only what matters — up to 49x fewer tokens on coding tasks.
Self-directed iterative research skill for Codex that continuously cycles through modify, verify, retain or discard, and repeat until a measurable goal is reached.
Personal AI assistant framework supporting multiple chat channels (DingTalk, Feishu, QQ, Discord, etc.) with extensible skills, local/cloud deployment, and cron scheduling.
AI-powered green screen keyer that unmixes foreground colors and generates clean linear alpha channels using neural networks
Personal intelligence agent that aggregates 27 OSINT data sources into a self-hosted Jarvis-style dashboard with Telegram/Discord bots, LLM analysis, and real-time alerts.
LLM-powered A/H/US stock intelligent analysis system with multi-source data, real-time news, AI decision dashboards, and multi-channel push notifications via GitHub Actions.
Expert skill for using DeepSeek-OCR, a vision-language model for optical character recognition with context optical compression supporting documents, PDFs, and images.
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
Add documentation for a new AI provider — usage docs, env vars, Docker config, image resources.
Tests in real browsers via Chrome DevTools MCP. Use when building or debugging anything that runs in a browser. Use when you need to inspect the DOM, capture console errors, analyze network requests, profile performance, or verify visual output with real runtime data. Requires the chrome-devtools MCP server to be configured.
This skill should be used when the user wants to visualize data. It intelligently selects the most suitable chart type from 26 available options, extracts parameters based on detailed specifications, and generates a chart image using a JavaScript script.