130 boosters for "image" — open source, verified from GitHub, ready to install
A unified skill for four interaction modes with a curated knowledge base (726 concept cards + 1282 case cards) distilled from 300+ ICT/SMC/ChanLun(缠论) trading videos and live lessons across 12 curated source collections. Any user message that mentions an asset + timeframe — even without the word "现在
Generate images using Google's Nano Banana model via BlockRun's x402 API. Pay-per-request with USDC on Base - no API keys needed. 2. Get USDC on Base network:
"name": "nano-banana-2-skill-marketplace", "url": "https://github.com/kingbootoshi" "description": "AI image generation CLI powered by Gemini 3.1 Flash (default) and Gemini 3 Pro. Multi-resolution, aspect ratios, cost tracking, green screen transparency, reference images, style transfer.",
Generate e-commerce images using GPT-Image-2 via Codex CLI. Match user intent to structured JSON prompt templates, assemble concise prompts, and invoke image generation. From the user's request, extract: If the user provides a product photo path, note it for parameter.
Generate images using ModelScope's Tongyi-MAI/Z-Image-Turbo model. Optional: Set to use your own API key.
This skill must use the Image 2 model to generate every final slide image, thumbnail board, visual page, infographic, article illustration, or PPT page image. HTML output is strictly forbidden for image generation. Do not create HTML/CSS pages, browser screenshots, SVG/HTML mockups, canvas renders,
17 Google Maps tools for AI agents — geocode, search, directions, weather, air quality, map images via MCP server or standalone CLI
This skill encodes the complete design specification for professional business presentations — a consultant-grade PowerPoint framework based on McKinsey design principles. It includes: All specifications have been refined through iterative production feedback to ensure visual consistency, profession
"name": "lich-skills", "description": "LichAmnesia's open-source Claude Code skills — flagship spec-driven-dev workflow plus Tavily search and Nano Banana image generation.", "name": "Shen Huang (LichAmnesia)",
A Chinese-language system prompt that transforms simple descriptions into detailed video generation prompts for AI video models, designed for use in Claude, ChatGPT, Cursor, and Windsurf environments.
"name": "prompt-engineering-skills", "description": "아이디어를 실행 가능한 프롬프트로 정리해주는 도구 — /prompt v3.3.0 + 모델별 최적화 전략(Claude/GPT/Gemini/이미지) 스킬 + 공냥 프롬프트 킷 v4 동봉(이미지 정본)", "name": "tofukyung",
Build with . Never run the commands, the user will do it manually. Lint with the for TypeScript and for Biome. Do not use as it will start a long running watch commands - just use . For every string, add the localization to and use the function to retrieve it. Do not hardcode any strings in th
Treat every competition as a validation problem first and a modeling problem second. The default target platform is Kaggle, so prefer Kaggle-native notebooks/scripts, datasets, model artifacts, competition submissions, and score receipts. For code competitions, assume the final notebook/kernel will
Build modern, on-brand marketing emails and send them via Resend. This skill encodes a complete pattern: asset hosting, reusable HTML components, GIF tooling, and the Resend send pipeline. Anything in is served at . Commit + push = instant CDN. No Cloudinary, no S3. Use this building-block inventor
Run this bash block first, before any analysis: This is the first time clearshot is running — no config exists yet. Before doing any analysis, tell the user to run the onboarding setup. Say something brief like: "clearshot needs a quick first-run setup (two questions, arrow keys + enter):"
Generate build123d Python code from a description (and optionally a reference image), execute it, and display the result in the browser viewer at http://localhost:3123.
"name": "minimax-mcp-js", "version": "0.0.17", "description": "Official MiniMax Model Context Protocol (MCP) JavaScript implementation that provides seamless integration with MiniMax's powerful AI capabilities including image generation, video generation, text-to-speech, and voice cloning APIs.",
专业的AI脚本和分镜生成系统，用于在Seedance 2.0平台上创建专业的AI视频系列。 以下是经过实测沉淀的通用规范，适用于所有 Seedance 2.0 / GPT-image-2 prompt 的生成。生成任何分镜 prompt 前必须逐条核对。 的视觉元素会被当作强锚点继续渲染——即便 prompt 里说"位置空了 / 东西没了"，模型也会脑补它继续存在，甚至换个品牌也要保留语义。要让某元素在续接段中真正消失，必须三重加固：
You act as a Design Systems Analyst: part visual detective, part systems designer, part frontend engineer. Your job is not to describe what you see — it's to diagnose the design: which decisions were deliberate, which patterns repeat, which tokens are operating under the
Dinox MCP Server enables Claude to understand images through advanced object detection, localization, and captioning by connecting to the DINO-X vision model. Developers building multimodal AI applications benefit from seamless integration of real-world visual perception into LLM workflows.
Use this skill when the user wants fully local image generation with a pipeline and does not want online image APIs. This skill is best for: This skill is not a photorealistic diffusion model. It is a local, rule-based composition engine that renders through SVG and exports PNG locally.
Nuxt SEO is a meta-module that streamlines SEO configuration, sitemap generation, OG image creation, and structured data management for Nuxt applications. Developers building Nuxt sites need this to ensure proper search engine visibility and social media optimization.
A skill that removes backgrounds from images using FAL.ai's BiRefNet model, enabling developers to quickly extract subjects and create transparent PNGs. Useful for anyone building image processing features into Claude-based applications.
The user sends material (text, image, script, competitor post, screenshot, or description of content). You analyze it and immediately generate captions for ALL 7 platforms in English. Read/view whatever the user sent:
