repo-analyzer
Analyze GitHub repository structure, documentation, dependencies, and contributor patterns for codebase health and development insights.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
405 skills found
Analyze GitHub repository structure, documentation, dependencies, and contributor patterns for codebase health and development insights.
Develop, test, sign, and publish governance plugins for Memoria using Rhai or gRPC runtimes. Manage the full plugin lifecycle from scaffolding to activation.
Automates the integration of Python and TypeScript type hints to enhance IDE intellisense, error detection, and AI code comprehension.
Manage full PR lifecycles: auto-generate descriptions from commits, use work-type templates, handle review requests, and automate status updates.
Create structured session handoff documents to ensure continuity when switching contexts, taking breaks, or ending your workday.
Implements Manus-style persistent markdown planning for complex workflows, project tracking, and research management to optimize agent attention and memory.
Enforces code quality by dispatching a dedicated subagent to review work against project plans, requirements, and git commit history before tasks are completed or merged.
Maintain and synchronize Unified Impact Diagrams using the Diagram Driven Development (DDD) methodology to connect technical architecture with user value.
Generates UI components, hero sections, and feedback forms with integrated accessibility checks, leveraging specialized design references and quality gates.
Production-ready Nuxt UI v4 component library featuring 125+ accessible components, Tailwind CSS v4, Reka UI, and specialized dashboard, chat, and editor layouts.
Test web applications with screen readers like VoiceOver, NVDA, and JAWS. Validate accessibility, debug assistive technology issues, and ensure compliance with screen reader support standards.
Techniques for writing effective fuzzing harnesses across languages. Use when creating new fuzz targets or improving existing harness code.