claude-md-enhancer
Automated toolkit for creating, maintaining, and enhancing CLAUDE.md files to ensure your project's AI-assisted development guidelines are always accurate, modular, and best-practice compliant.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
248 skills found
Automated toolkit for creating, maintaining, and enhancing CLAUDE.md files to ensure your project's AI-assisted development guidelines are always accurate, modular, and best-practice compliant.
Execute implementation plans using isolated subagents for each task, featuring a rigorous two-stage review process for spec compliance and code quality.
Automated detection of IDOR vulnerabilities using a three-phase subagent workflow to verify authorization and ownership checks on sensitive endpoints.
Guided, systematic feature development agent that orchestrates codebase exploration, architectural design, implementation, and automated testing.
Build Claude Code extensions: skills, agents, hooks, plugins, and slash commands. Includes builder agents for autonomous component creation and structure management.
Enforce high-quality Java 17+ coding standards, Spring Boot conventions, and maintainable project structures.
Method-driven planning workflow that intelligently decomposes tasks into structured plan.md files using zen-mcp tools, adapting to user clarity and automation needs.
Review, audit, and build production-grade frontend interfaces with high design quality, accessibility standards, and design system compliance.
Expert guide for kagent: the Kubernetes-native framework for building, deploying, and managing AI agents, MCP tools, and A2A protocols.
Generate hierarchical, AI-optimized documentation structures (AGENTS.md, agent.d) to streamline codebase context, setup, and navigation for AI coding assistants and developers.
Framework for building, registering, and orchestrating Model Context Protocol (MCP) tools and AI agent workflows within the Hive native Rust architecture.
Comprehensive security audit and hardening for AI agents: credential scanning, PII protection, prompt injection defense, and workspace config optimization.