59 resources
GNOS is an AI teaching assistant that can customize courses for you like a real teacher. It plans routes based on learning depth and time, generates videos, simulations, images, PDFs and other content, records your learning style and reasoning process, and dynamically adjusts subsequent exercises to achieve a personalized adaptive learning experience.
Digital human video production skill for Codex. Input copywriting and authorized character images, automatically complete dubbing, mouth shape calibration, subtitles and editing rendering, and generate high-quality explanation videos. The source code is neutral and not tied to a service provider. It supports flexible configuration of sound, style and other parameters to achieve automated video production.
This is a collection of skills, workflows and use cases provided for Jev coding agents. It contains 61 project resources, 5 core skills and 108 application scenarios, designed to help agents select, classify, score and perform specific tasks, and provides rich examples and templates to enhance its functionality.
AnyJev is a Python library that uses the hidden states of LLM to build Jev-like decision models. It can output decisions with type and real probability without fine-tuning, significantly improves calibration and resistance to sequence flipping, and is suitable for scenarios that require high-reliability automatic decision-making.
This is an "AI-free" skill based on research on a 2.83 million-word corpus, which aims to quantify and remove specific style features of text generated by large models through linguistic methods. It provides a recalculable judgment program to help users identify and correct AI writing traces and improve the humanization of the text.
Hide product video skills, use AI to reuse real product components and design language, and automatically generate software update promotional videos. It supports storyboard copywriting, original soundtrack, sound effects and code rendering, and is compatible with Claude Code and Codex, allowing developers to quickly produce professional promotional videos.
Jev Ultrafast is an extremely fast Python-based web agent that enables efficient browser automation through dynamically indexed action spaces. It uses TypeSafe LLM to perform clicks, inputs and other operations, significantly reducing latency and costs, and is suitable for scenarios where web page interaction tasks need to be completed quickly.
jev-seo is a Python-based real-time SEO audit tool that supports command line and Claude Code integration. It crawls the home page of the website, checks 52 indicators according to Google search center rules and evaluates core web page indicators, and uses the Jev AI model to analyze the page content. Finally, detailed reports in PDF, Excel, and Markdown formats are generated to help quickly diagnose and optimize website SEO performance.
geo-score is a Python command line tool for evaluating a website's visibility in AI engines. It provides a readiness score of 0-100 points based on the open GEO standard, and supports tracking citations through APIs such as OpenAI and Perplexity. Zero dependency, with MCP server function, helping developers quickly detect and optimize AI accessibility.
Laya-MLX is a native Python library running on Apple Silicon for performing ultra-fast (7-14ms) typed decision-making tasks. It is based on the MLX framework, does not require PyTorch or cloud API, supports offline local reasoning, and is suitable for scenarios that require low-latency structured output.
Rizzo Flow is an open source, local-first LLM decision-making tool compatible with the Jev API. It transforms unstructured state input into typed probabilistic decisions without generating text tokens. Supports the llama.cpp backend and can run in Metal, CUDA, Vulkan, ROCm, SYCL and CPU environments. It is suitable for local AI application development that requires low latency and high privacy.
Dewarr is a self-hosted audiobook discovery and management tool that supports connecting to Audiobookshelf/Grimmory, synchronizing Goodreads and Hardcover book lists, and automatically downloading from sources such as MyAnonamouse. It provides chapter merging, personalized recommendations and multi-platform notification functions to help users centrally manage reading lists and download tasks.
Hermes Jev Skills provides low-cost decision support for AI agents, covering model routing, search filtering, memory compression and skill selection. Use TypeSafe's Jev decision-making model to process non-text decisions, save expensive model tokens, and improve response speed.
T-Mem is a triggered enhanced graph memory framework for long-term dialogue question answering, aiming to solve the problem of limited LLM memory accessibility. It supports descriptive and associative recall and is suitable for building conversational agent systems with coherent contextual understanding and cross-session adaptability.
This tool automatically identifies repeated requests and generates shortcut commands by analyzing the user's historical prompts in Claude Code, Codex or Cursor. It is designed to reduce repeated input, improve coding efficiency, and support the rapid reuse of common instructions in mainstream AI programming agents.