github-code-review
Deploy specialized AI swarms to perform comprehensive, multi-domain GitHub pull request reviews covering security, performance, architecture, and style.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
551 skills found
Deploy specialized AI swarms to perform comprehensive, multi-domain GitHub pull request reviews covering security, performance, architecture, and style.
AI-powered documentation engine that automatically generates C4 architecture diagrams, technical specs, and codebase analysis from any source code directory.
Manage Jenkins CI/CD pipelines via REST API. Trigger builds, monitor job status, view console logs, and manage nodes and queues directly from your terminal or AI agent.
Orchestrates complex multi-agent software development using a structured Royal Navy squadron metaphor, featuring mission planning, parallel task coordination, and rigorous audit logs.
Expert assistant for designing and optimizing production-grade Trigger.dev background jobs, AI workflows, and resilient asynchronous task architectures in TypeScript.
Master design system architecture: implement design tokens, multi-brand theming, component libraries, and automated design-to-code pipelines for scalable UI foundations.
Standardized Rust documentation practices for the HASH codebase, ensuring consistency in doc comments, intra-doc links, and error handling.
Python bindings (dartpy) for DART physics simulation: build wheels, generate type stubs, and manage robotics simulation workflows using nanobind and C++ integration.
Orchestrate complex multi-agent swarms with topologies like mesh, hierarchical, and star for research, development, and testing workflows.
Standardized workflow and guidelines for Laravel 11/12 application development, including stack detection, dependency management, and integration with Laravel Boost tools.
Autonomous improvement loop for codebase optimization. Automatically modifies, measures, and iterates on code based on a specific goal and mechanical metric.
A Test-Driven Development (TDD) framework for writing agent skills, using pressure scenarios to ensure documentation guides agent behavior effectively.