Agent Skills Hub

vibesafe

Manage Vibesafe units to scan, generate, test, and verify AI-written code with cryptographically-secure hash-locked checkpoints.

MLOps Industrialization

A framework to transform experimental ML prototypes into robust, production-ready Python packages using src layout, hybrid architecture, and strict configuration management.

Verification & Quality Assurance

A robust verification and QA system for software agents featuring real-time truth scoring, automated code validation, and instant rollback capabilities to maintain high reliability.

project-guidelines-example

A project-specific template skill providing standardized architecture, file structures, coding patterns, and deployment workflows for production-grade AI applications.

code-quality-review

Holistic, multi-dimensional code review skill providing prioritized, actionable feedback on correctness, security, performance, design, and accessibility.

structured-code-review

Performs a structured five-stage code review covering requirements, correctness, code quality, testing, and security. Provides actionable, categorized feedback (Blocker/Major/Minor/Nit) to improve PR quality.

stripe-patterns

Stripe payment integration patterns for checkout, webhooks, and subscriptions. Ensures safe API usage, idempotency, signature verification, and testing compliance.

libragent-quality

Comprehensive code quality validation for LibrAgent, covering TypeScript frontend and Rust/Tauri backend via automated linting, formatting, type checking, and build verification.

localization-testing

Automated internationalization (i18n) and localization (l10n) testing suite for global software. Validates translations, RTL layouts, locale-specific formats, and unicode support.

skill-repo

Standardize, validate, and manage Netresearch AI agent skill repositories with automated structure enforcement, distribution workflows, and licensing compliance tools.

test-environment-management

Manage test infrastructure with IaC, Docker, and service virtualization. Optimize testing costs, ensure dev/prod environment parity, and automate environment provisioning for consistent, scalable software testing.

go-api

Generate a production-ready Go API service with boilerplate for observability, local development, and clean architecture.