review-pr
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
Top DevOps and cloud skills for deployment, infrastructure, Docker, Kubernetes, and CI/CD workflows.
This directory brings installable AI Agent skills into one place so you can filter by search, category, topic, and official source, then install them directly into Claude Code, Cursor, Windsurf, and other supported environments.
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
The code-review-assist skill enhances human-in-the-loop review sessions for Claude Code users, helping developers evaluate code changes faster and more thoroughly. It assists in preparing users to review faster, surfacing key points, drafting comments, and tracking review process improvements.
Write or update documentation for the Inkeep docs site (agents-docs package). Use when: creating new docs, modifying existing docs, introducing features that need documentation, touching MDX files in agents-docs/content/. Triggers on: docs, documentation, MDX, agents-docs, write docs, update docs, add page, new tutorial, API reference, integration guide.
Modifying service configuration types or defaults. Use when changing config structs, adding config fields, or updating default values for any Golem service.
The Visual Headless Content Management System for Enterprises
The wt skill streamlines AI model deployment, enabling developers to work efficiently with isolated environments and parallel coding sessions, perfect for AI coding workflows
Deploy any AI model, agent, database, RAG, and pipeline locally or remotely in minutes
Fix a bug from a GitHub issue using TDD. Analyzes the issue, creates a reproducing test case, implements the fix, verifies it, runs refactor-pass, and creates a PR.
Modern full-stack framework. Develop powerful apps, clouds & framework-agnostic libraries—faster.
Guide for writing tests. Use when adding new functionality, fixing bugs, or when tests are needed. Emphasizes integration tests, real-world fixtures, and regression coverage.
Die V3 Core Implementierung ist ein Satz von TypeScript-Modulen, die Domain-Driven-Design-Prinzipien und saubere Architekturmuster für die Erstellung von KI-Agents verwenden
Create and push semantic version tags for CI/CD deployment. User-only command - agents cannot invoke.