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An agentic skills framework & software development methodology that works.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
A curated list of awesome skills, hooks, slash-commands, agent orchestrators, applications, and plugins for Claude Code by Anthropic
A toolchain for web projects, aimed to provide functionalities to maintain them. Biome offers formatter and linter, usable via CLI and LSP.
YaneuraOu is the World's Strongest Shogi engine(AI player) , WCSC29 1st winner , educational and USI compliant engine.
pinact is a CLI to edit GitHub Workflow and Composite action files and pin versions of Actions and Reusable Workflows. pinact can also update their versions and verify version annotations.
A highly customizable Changelog Generator that follows Conventional Commit specifications ⛰️
ripgrep recursively searches directories for a regex pattern while respecting your gitignore
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
An interactive git visualization and tutorial. Aspiring students of git can use this app to educate and challenge themselves towards mastery of git!
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
Next generation frontend tooling. It's fast!
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
A guide to contributing to open source
A runtime for writing reliable asynchronous applications with Rust. Provides I/O, networking, scheduling, timers, ...
donegroup is a package that provides a graceful cleanup transaction to context.Context when the context is canceled.
[Experimental] Graph and Tensor Abstraction for Deep Learning all in Common Lisp
Install and Run Python Applications in Isolated Environments