π Vibe Ranking Top 500
The definitive ranking across Skills, MCP Servers, Plugins, and Marketplaces in the Claude Code ecosystem
The definitive ranking across Skills, MCP Servers, Plugins, and Marketplaces in the Claude Code ecosystem
Marketplace that provides the Andrej Karpathy coding-guidelines plugin, which reduces common LLM coding mistakes through four principles: Think Before Coding, Simplicity First, Surgical Changes, and Goal-Driven Execution.
Interactive skill discovery tool from Vercel Labs. Search and browse Claude Code skills by keyword to find the best tools for your development workflow.
A complete software development workflow plugin for coding agents that enforces spec-first design, TDD, implementation planning, and subagent-driven development with automatic code review.
Knowledge Graph Memory server for persistent memory using a local knowledge graph. Enables Claude to remember information about users across chats through entities and relations.
Interviews the user relentlessly about every aspect of a plan or design until reaching shared understanding, resolving each branch of the decision tree one by one. Provides recommended answers for each question and explores the codebase when answers can be found there.
A skill that runs a grilling session to challenge your plan against an existing domain model, sharpen terminology by building a shared language in CONTEXT.md, and document architectural decisions in ADRs before coding begins.
An agent skill from Matt Pocock's engineering toolkit that helps improve your codebase architecture. Part of a composable skill set designed to fix common AI coding agent failure modes through structured, experience-based workflows.
Enforces test-driven development with a strict red-green-refactor loop using vertical slices (one test then one implementation at a time), emphasizing behavior verification through public interfaces rather than implementation-coupled testing.
Anthropic official skill for creating distinctive, production-grade frontend interfaces with bold aesthetic direction and unique typography. Generates working code (HTML/CSS/JS, React, Vue) that is visually striking, avoiding generic AI aesthetics.
Behavioral guidelines that reduce common LLM coding mistakes via four principles: Think Before Coding, Simplicity First, Surgical Changes, and Goal-Driven Execution.
Automates web browsing tasks by navigating websites, extracting content, interacting with elements, and capturing screenshots programmatically
Initial setup skill for Matt Pocock's engineering skills collection that configures your backlog manager, triage labels, and documentation paths for AI coding agents.
A collection of small, composable engineering skills designed for real development workflows, featuring grilling sessions for requirement alignment, issue tracking integration, and task triage with customizable labels.
A composable skill for triaging issues and tickets using configurable labels, designed to fix common failure modes in AI coding agents by providing structured backlog management workflows.
React and Next.js performance optimization guidelines from Vercel Engineering. 40+ rules across 8 categories covering component performance, data fetching, and bundle size optimization.
Collection of example skills demonstrating various capabilities including skill creation, MCP building, visual design, algorithmic art, internal communications, web testing, artifact building, Slack GIFs, and theme styling
A model-invoked productivity skill that interviews users relentlessly about a plan or design until every branch of the decision tree is resolved. It serves as the reusable interview loop behind the grill-me and grill-with-docs skills.
A collection of composable engineering skills by Matt Pocock designed to fix common AI coding agent failure modes: misalignment via grilling sessions, verbosity through shared domain language (CONTEXT.md), code quality with TDD red-green-refactor loops, and codebase entropy with architecture improvement workflows.
Web interface best practices auditor from Vercel Engineering. Reviews UI code against 100+ standards covering accessibility, animations, forms, images, and UX fundamentals.
A model-invoked engineering skill that actively builds and sharpens a project's domain model by challenging terms against the glossary, stress-testing with edge-case scenarios, and updating CONTEXT.md and ADRs inline.