Tag

Antigravity Awesome Skills

Provides an installable library of 1,340+ SKILL.md playbooks for AI coding assistants, with an installer CLI, bundles, workflows and plugin-friendly distributions for Claude Code, Cursor, Codex, Gemini CLI and more.

OpenViking

Models an AI agent's context as a file system, unifying memory, resources, and skills instead of flat vector RAG. Uses L0/L1/L2 tiered loading to cut tokens, directory-recursive plus semantic retrieval, and visualized retrieval traces for debugging.

pdf-inspector

Rust library for fast PDF classification and position-aware text extraction that converts native-text PDFs to structured Markdown without OCR. Offers per-page OCR routing, multi-column and table detection, and Python/Node.js/WebAssembly bindings for low-latency local pipelines.

LiteParse

A fast, local document parser that extracts spatial text with bounding boxes from PDFs and other formats. Bundles Tesseract OCR and supports HTTP OCR servers, multi-language bindings (Rust, Node, Python, WASM) and screenshot generation; best for lightweight local pipelines but less suited to very complex or heavily scanned documents.

Pretext

Measures multiline text layout and block height without triggering browser reflow: it measures text segments once via Canvas+Intl.Segmenter and caches widths, then computes line breaks with pure arithmetic. Useful for streaming AI text, virtualization, and custom per-line rendering.

VoxCPM2

Generates 48kHz multilingual speech from text using a tokenizer-free diffusion-autoregressive TTS architecture, supporting natural-language voice design, controllable cloning, and low-latency streaming. Notable for a 2B-parameter backbone and built-in AudioVAE super-resolution (16k→48k).

text-to-cad

A library of reusable agent skills that generate, inspect, and hand off CAD, robot-description, and fabrication artifacts. Exports STEP/STL/3MF, writes URDF/SDF/SRDF, slices meshes to G-code, previews files in-browser, and includes off-the-shelf STEP part lookup and benchmarks.

Google Antigravity SDK

Lets developers build stateful, tool-enabled Python AI agents that run on Google's Antigravity runtime. Includes built-in tools (file I/O, shell, image generation), a declarative policy/hook system, multimodal input, and MCP integration.

TabFM 1.0.0 (PyTorch)

Performs zero-shot classification and regression on mixed numerical and categorical tabular data by treating training rows as in-context examples and predicting in a single forward pass. Uses alternating row/column attention and row compression; limited to 10 classes and model weights are non-commercial.

fastai

Trains vision, text, tabular, recommendation, and medical imaging models through a layered PyTorch API. High-level learners cover common workflows, while lower layers stay available when researchers need custom behavior.

Mem0

Memory layer that lets AI agents remember users and context across sessions.