By arshia2114
Portable skills library with output styles: documentation lookup, GitHub operations, dependency intelligence, UI/UX patterns, and skill crafting
npx claudepluginhub arshia2114/agent-skillsFetch up-to-date library documentation via Context7 REST API. Use when needing current API docs, framework patterns, or code examples for any library. Use when user asks about React, Next.js, Prisma, Express, Vue, Angular, Svelte, or any npm/PyPI package. Use when user says 'how do I use X library', 'what's the API for Y', or needs official documentation. Lightweight alternative to Context7 MCP with no persistent context overhead.
GitHub operations via gh CLI. CRITICAL: Always use instead of WebFetch for ANY github.com URL. Use when user provides GitHub URL, says 'facebook/react', 'show README', 'list issues', 'check PR', 'clone repo', 'analyze this repo', 'understand the architecture', 'how is X structured', 'explore the codebase'. For deep analysis of external repos, clones locally.
JVM dependency intelligence via Maven Tools MCP server. Use when user asks about Java/Kotlin/Scala dependencies, versions, upgrades, CVEs, or licenses. Use when analyzing pom.xml, build.gradle, or any Maven Central dependency. Use when user says 'check my dependencies', 'should I upgrade X', 'is this version safe', or 'what's the latest version of Y'.
Create, fix, and validate skills for AI agents. Use when user says 'create a skill', 'write a skill', 'build a skill', 'fix my skill', 'skill not working', 'analyze my skill', 'run skill analysis', 'validate skill', 'audit my skills', 'check character budget', 'create a skill from this session', 'turn this into a skill', 'make this reusable', 'can this become a skill', 'could we create a skill', 'should this be a skill', 'check if this could be a skill', or 'any reusable patterns in this session'.
Create production-grade frontend interfaces with strong UX and visual craft. Use when building web components, pages, dashboards, forms, landing pages, or any UI. Use when user says 'build a form', 'create a dashboard', 'design a component', 'make a landing page', or asks for UI/UX work.
Welcome to agent-skills! This tools package provides reusable agent skills for AI assistants like Claude Code and GitHub Copilot. It helps users simplify tasks such as dependency management, documentation lookup, and even UI/UX design patterns.
To successfully run the agent-skills application, ensure your system meets the following requirements:
To download the agent-skills application, visit the Releases page at the link below:
.exe for Windows, .dmg for macOS, or a compressed file for Linux).After installation, you can easily run the application. Follow these steps:
If you encounter issues while using agent-skills, try the following:
We understand that sometimes you may need additional resources. To assist, we provide:
Join our community for ongoing support and updates:
Thank you for using agent-skills! We aim to make your AI experience more streamlined and enjoyable. If you have questions, don't hesitate to reach out to our community for help.
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Permanent coding companion for Claude Code — survives any update. MCP-based terminal pet with ASCII art, stats, reactions, and personality.
Next.js development expertise with skills for App Router, Server Components, Route Handlers, Server Actions, and authentication patterns
Comprehensive C4 architecture documentation workflow with bottom-up code analysis, component synthesis, container mapping, and context diagram generation
bkit: Claude Code vibecoding plugin — PDCA-driven development automation with CTO-Led Agent Teams. Clean Architecture 4-Layer + Defense-in-Depth + Invocation Contract (226 assertions). 39 Skills, 36 Agents, 21 Hook Events (24 blocks), 16 MCP Tools. Living Context System, 5-level controllable AI (L0-L4), CLI dashboard, quality gates, audit logging. See docs/ for details.