3. Data, Science & AI

Approximates Kolmogorov complexity via compression for data complexity and intelligence measurement.

AI skill for world knowledge and contextual interaction, leveraging the ALICE framework for global context understanding.

Bridges condensed mathematics and sheaf theory to create sheaf neural networks using the 6-functor formalism.

Enables incremental query updates and pattern rewriting using adhesive category theory for optimized database operations.

Provides a unified index for humanoid robot development, RL training, sim-to-real transfer, and deployment via 9 specialized skills.

Enables robust simulation-to-reality transfer in robotics using maximum entropy RL and domain randomization to minimize reality gap.

Provides hardware specifications, MJCF simulation models, and deployment configurations for the K-Scale humanoid robot platform.

Synthesizes active inference framework with JAX/MuJoCo for predictive coding in robot locomotion, enabling AI-driven movement control.

Package for building customizable robot training environments in MuJoCo with objects, terrains, and obstacles.

Enables Galois connections between agent-o-rama and Plurigrid ACT using Mazzola's categorical music theory via CatSharp.

Converts URDF robot descriptions to MJCF format for MuJoCo physics simulation, handling meshes, joints, and collision geometries.

Inference engine for deploying Reinforcement Learning policies to real robots via ONNX Runtime in Rust, enabling efficient model execution on robotic systems.

Open-source 3D-printed humanoid robot platform enabling sim-to-real reinforcement learning research and affordable robotics experimentation.

RL library for humanoid locomotion and manipulation training using MuJoCo and JAX, with PPO, AMP, and sim-to-real task abstractions.

Provides an open-source edge vision-language-action model for robotics, standardizing Open-X Embodiment datasets for consistent training and deployment of VLA models.

Crafts, analyzes, and refines prompts to enhance LLM performance and clarify ambiguous technical requests.

Executes SQL queries, analyzes user journey funnels, and defines key performance metrics for data-driven insights.

Analyzes images and screenshots using computer vision to extract and interpret visual data.

Analyzes images, screenshots, charts, and documents using multi-modal AI for data extraction and insights.

Generates new AI agent skills via Gamma-Class v2.0 Schema for creating specialized AI capabilities and applications.

Transforms chaotic meeting transcripts into structured artifacts via multi-entity extraction for actionable insights.

Fetches and processes web content including HTML and JavaScript-rendered pages using Playwright for data collection and analysis.

AI-powered CLI tool for text-to-speech conversion, supporting pronunciation checks, audio generation, and language practice via voice output.

Handles creation, manipulation, and analysis of Excel spreadsheets including formulas, charts, and data transformations.