Search Skills

Creates and documents new AI agent skills following the Agent Skills specification, enabling consistent development of AI capabilities.

Provides Zustand 5 state management patterns including stores, selectors, persist middleware, and slices for React client-side state management.

Enforces consistent style guide and writing standards for Prowler feature documentation, tutorials, and guides.

Automates GitHub Actions workflows for CI/PR gates, including check validation, label automation, and security scanning in the Prowler repository.

Generates Prowler security checks for cloud providers (AWS, Azure, GCP, K8s, GitHub) following SDK patterns for consistent security assessments.

Provides pattern utilities for Next.js 15 App Router, including server components, client components, server actions, and route handlers.

Provides Tailwind CSS 4 patterns and best practices for dynamic styling and CSS variable handling without var() in className.

Provides patterns for building AI features with Vercel AI SDK v5, including chat, streaming, tools, and migration from v4.

Automates synchronization of skill metadata to AGENTS.md Auto-invoke sections upon metadata updates or script execution.

Provides API development patterns for tenant isolation (RLS), RBAC, JSON:API, and provider lifecycle with Celery task integration.

Automates review of pull requests containing compliance framework changes (CIS, NIST, PCI-DSS) and compliance JSON files.

Automates changelog management for Prowler components following keepachangelog.com standards, triggered by PRs and CHANGELOG.md edits.

Automates oxc compiler upgrades, executes code generation, and resolves breaking changes in the codebase.

Automates development workflows using intelligent hooks, Git integration, and neural pattern training to enhance code coordination and operations.

Automates GitHub project management with swarm-coordinated issue tracking, board automation, and sprint planning.

Trains and deploys neural networks in distributed E2B sandboxes using Flow Nexus.

Automates event-driven workflows through cloud-based deployment of AI agent swarms using the Flow Nexus platform.

Analyzes performance, detects bottlenecks, and provides optimization recommendations for Claude Flow swarms.

Enables semantic vector search using AgentDB for document retrieval, similarity matching, and context-aware queries in RAG systems.

Optimizes MCP server and transport layer for claude-flow v3 with connection pooling, load balancing, and performance monitoring to achieve sub-100ms response times.

AI-powered code review for GitHub repositories, coordinating multiple AI agents to analyze and suggest improvements.

Executes comprehensive performance benchmarks on worker systems to identify bottlenecks and optimize resource utilization.

Enables AI-driven task dispatch and performance monitoring through Worker-Agent integration in distributed environments.

Guides software development through the SPARC methodology (Specification, Pseudocode, Architecture, Refinement, Completion) using multi-agent orchestration.