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Skills
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Manages Model Context Protocol (MCP) servers by discovering, analyzing, and executing tools, prompts, and resources across configured MCP server instances.
A collection of 112 reusable agent skills for AI coding assistants, providing specialized knowledge and workflows organized by category.
A CLI for the Nansen API built for AI agents, enabling blockchain research across categories like smart money, token analytics, and perpetual markets, along with DEX swap execution on Solana and Base, and comprehensive wallet lifecycle management.
A payment gateway integration skill from a collection of 167 production-ready Claude Code skills, providing patterns for integrating payment processors into applications.
Generate PromQL queries for Prometheus monitoring and alerting.
Reverse engineers network protocols through systematic packet analysis, dissection, and comprehensive documentation for security and interoperability research.
A large collection of Claude Code skill templates sponsored by Z.AI, providing ready-to-use development skill configurations across various domains.
Generates structured schema markup JSON-LD for web pages to improve SEO and help search engines better understand page content and context.
Scans project dependencies across multiple ecosystems to identify vulnerabilities, assess risks, and recommend security remediation strategies.
Part of a Claude Code skill collection that includes security vulnerability scanners for Next.js and Python projects, with OWASP Top 10 detection, framework-specific checks for Flask/Django/FastAPI, and CWE-referenced reports.
A structured, multi-phase skill that takes a startup idea from raw concept to validated design through 8 sequential phases: intake, brainstorm, research, strategy, brand, product, financial projections, and validation experiments, with built-in progress tracking and a fast-track mode.
A finance skill that provides a dedicated tax-loss harvesting workflow coordinating with broader tax-efficiency and rebalancing strategies, part of a comprehensive wealth management skill collection with Python reference scripts for quantitative analysis.
A collection of Vercel Engineering skills for AI agents including React/Next.js performance optimization with 40+ rules across 8 categories, and web design guidelines covering 100+ accessibility, performance, and UX rules.
A collection of production-ready Claude Code skills covering Tailwind CSS v4, shadcn/ui integration, and modern web development patterns.
A Webflow skill for managing custom code on Webflow sites through the Webflow MCP server, part of a collection that covers CMS content management, site health auditing, asset optimization, Designer workflows, and safe publishing via AI coding tools.
A large collection of Claude Code skill templates sponsored by Z.AI, providing ready-to-use development skill configurations across various domains.
A collection of 255+ universal agentic skills for AI coding assistants including Claude Code, Gemini CLI, Codex CLI, Antigravity IDE, GitHub Copilot, and Cursor.
The most comprehensive open-source skills library enabling AI agents to autonomously conduct AI research from idea to paper, with 87 skills across 22 categories including model architecture, fine-tuning, distributed training, inference, and safety.
A Claude Code skill from the finance_skills compliance plugin covering SEC Rules 17a-3/17a-4 and Rule 204-2 for securities recordkeeping, including WORM storage requirements and electronic communications archiving.
AI skills for compound engineering—where each unit of work makes subsequent work easier—with skills for brainstorming, planning, code review, doc review, and codifying reusable knowledge.
from run-llama/llamaparse-agent-skills
Guides Google Chat API integration and messaging workflows, from a collection of 87 production-ready skills for Cloudflare, React, and AI integrations.
Groove utility skill for setting up the task tracking backend, configuring the persistent storage system for managing engineering tasks and project work items.
A Groove workflow skill that evaluates completed work against the plan and acceptance criteria through branch-diff analysis. It categorizes findings into Fix Now, Needs Spec, and Create Issues, makes accept/rework decisions with rationale, and captures lessons for the compound learning stage.