AI Agent Skills

Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.

Agent skill: convert Chinese story copy or ordered images into a hand-drawn diary-comic animation (silent MP4 picture track).

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ lan…

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.

A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic w…

SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer

Venom is a high-performance system developed with JavaScript to create a bot for WhatsApp, support for creating any interaction, such as customer service, media sending,…

Open-source, accurate and easy-to-use video speech recognition & clipping tool. LLM-based AI clipping integrated.

Reverse-lookup glossary that turns a vague description of a web animation or motion effect into its exact term ("the bouncy thing when a popover opens" → Pop in; "the iO…

Receive notifications when an image is updated on a Docker registry

Write precise Seedance 2.0 prompts for multimodal video, camera movement, editing, music, and product storytelling.

Your data, your control. Fully open source, authentication and authorization. No lock-ins. Deployment in Railway in 120 seconds || Spin a docker image as a micro-service…

Curated skills, sub-agents, and config templates that supercharge Claude Code — research, image gen, GitHub automation & more.

给纯文本 LLM agent 装上眼睛：图片问答、OCR、截图分析、视觉定位等一套视觉工具箱 + skill，并可无缝接入 Codex、Claude Code、OpenCode、Pi ｜ Give text-only LLM agents vision: image Q&A, OCR, screenshot understanding,…

Route a content idea through topic capture, research, production planning, publishing, and archive steps for a video content workspace.