plan-down
Method-driven planning workflow that intelligently decomposes tasks into structured plan.md files using zen-mcp tools, adapting to user clarity and automation needs.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
468 skills found
Method-driven planning workflow that intelligently decomposes tasks into structured plan.md files using zen-mcp tools, adapting to user clarity and automation needs.
Expert framework for designing agent-facing tools, optimizing tool descriptions, enforcing contract-based APIs, and implementing architectural reduction for reliable AI agent tool selection.
Track and execute code implementation using Mighty (mt) tasks, with progress comments, linked evidence, recorded design decisions, and clean closeout workflows.
Transforms feature requests, bug reports, and improvement ideas into structured, actionable markdown project plans using repository research and industry best practices.
Systematically trace code flows, locate implementations, diagnose performance issues, and map system architecture to understand complex codebases.
A testing utility designed to simulate prompt injection attacks and validate security scanners for AI agent skills.
Full-stack web development suite featuring Next.js (SSR/RSC/App Router), Turborepo for monorepo management, and RemixIcon for UI assets. Optimized for modern React, high-performance builds, and scalable architecture.
Queen-led multi-agent orchestration for Claude Code, featuring Byzantine consensus, persistent collective memory, and adaptive task distribution for complex software projects.
Discover and recommend combinations of agent skills to complete complex, multi-faceted tasks using Maximum Quality or Minimum Dependencies strategies.
Test Adobe EDS blocks interactively in the browser with Jupyter notebooks. Features ES6 imports, overlay previews, responsive device testing, and zero-dependency execution.
Deploy applications to Vercel instantly. Supports preview and production deployments, automatic framework detection, and fallback script execution for seamless project publishing.
Perform deep security analysis on codebases using CodeQL for interprocedural data flow, taint tracking, and automated vulnerability detection across multiple languages.