Coordinate multi-agent teams for software and product work

Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.

Scalable and efficient data transformation framework - backwards compatible with dbt.

Data manipulation and transformation for audio signal processing, powered by PyTorch

JavaScript library to transform coordinates from one coordinate system to another, including datum transformations

Spoon is a metaprogramming library to analyze and transform Java source code. :spoon: is made with :heart:, :beers: and :sparkles:. It parses source files to build a well-designed AST with powerful analysis and transformation API.

Python interface to PROJ (cartographic projections and coordinate transformations library)

TAKT Agent Koordination Topology - Define how AI agents coordinate, where humans intervene, and what gets recorded — in YAML

AI Agent Orchestration Dashboard - Manage AI agents, assign tasks, and coordinate multi-agent collaboration via OpenClaw Gateway.

DeepResearchAgent is a hierarchical multi-agent system designed not only for deep research tasks but also for general-purpose task solving. The framework leverages a top-level planning agent to coordinate multiple specialized lower-level agents, enabling automated task decomposition and efficient execution across diverse and complex domains.

The JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ.

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.