Realistic X post card with engagement metrics (likes, reposts, views), suited to video overlays or shareable image cards.
npx skills add https://github.com/nexu-io/open-design --skill social-x-post-card
【模板: X (Twitter) 帖子卡】
【意图】把一段推文内容 (或用户的金句) 渲染成一张拟真度极高的 X 帖子卡片, 用于视频叠加、推特发图、知识沉淀。Inspired by hyperframes x-post。
【画布】1280×720 或 1080×1080, 暗背景 #0f1419 或亮背景 #ffffff (按 X 主题); 卡片居中, 阴影柔和。
【卡片结构】
#2f3336 (dark) / #eff3f4 (light), 内边距 16px。@username + verified 蓝勾 + 时间 (mono, 12px, 灰)。#1d9bf0; hashtag 同色; mention 同色; 段落间空 0.6em。【字体】
Chirp (X 的字体) → fallback Inter 或 Segoe UI。Noto Sans SC / PingFang SC。【设计细节】
#fff, text #0f1419, secondary #536471, border #eff3f4, accent #1d9bf0。#000, text #e7e9ea, secondary #71767b, border #2f3336, accent #1d9bf0。radial-gradient(...) 增加视频叠加的可读性。Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.
Downloads videos from YouTube and other platforms for offline viewing, editing, or archival. Handles various formats and quality options.
Lightweight WSI tile extraction and preprocessing. Use for basic slide processing tissue detection, tile extraction, stain normalization for H&E images. Best for simple pipelines, dataset preparation, quick tile-based analysis. For advanced spatial proteomics, multiplexed imaging, or deep learning pipelines use pathml.
Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.
Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.
This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.
Take nexu-io/social-x-post-card from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.