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Found 1,085 Skills
Production backend systems development. Stack: Node.js/TypeScript, Python, Go, Rust | NestJS, FastAPI, Django, Express | PostgreSQL, MongoDB, Redis. Capabilities: REST/GraphQL/gRPC APIs, OAuth 2.1/JWT auth, OWASP security, microservices, caching, load balancing, Docker/K8s deployment. Actions: design, build, implement, secure, optimize, deploy, test APIs and services. Keywords: API design, REST, GraphQL, gRPC, authentication, OAuth, JWT, RBAC, database, PostgreSQL, MongoDB, Redis, caching, microservices, Docker, Kubernetes, CI/CD, OWASP, security, performance, scalability, NestJS, FastAPI, Express, middleware, rate limiting. Use when: designing APIs, implementing auth/authz, optimizing queries, building microservices, securing endpoints, deploying containers, setting up CI/CD.
Deploy Slidev presentations to the web. Use this skill for GitHub Pages, Netlify, Vercel, and Docker deployments.
Amazon Bedrock AgentCore deployment patterns for production AI agents. Covers starter toolkit, direct code deploy, container deploy, CI/CD pipelines, and infrastructure as code. Use when deploying agents to production, setting up CI/CD, or managing agent infrastructure.
6-phase investigation workflow for understanding existing systems. Auto-activates for research tasks. Optimized for exploration and understanding, not implementation. Includes parallel agent deployment for efficient deep dives and automatic knowledge capture to prevent repeat investigations.
Nuxt 4 production optimization: hydration, performance, testing with Vitest, deployment to Cloudflare/Vercel/Netlify, and v4 migration. Use when: debugging hydration mismatches, optimizing performance and Core Web Vitals, writing tests with Vitest, deploying to Cloudflare Pages/Workers/Vercel/Netlify, or migrating from Nuxt 3 to Nuxt 4. Keywords: hydration, hydration mismatch, ClientOnly, SSR, performance, lazy loading, lazy hydration, Vitest, testing, deployment, Cloudflare Pages, Cloudflare Workers, Vercel, Netlify, NuxtHub, migration, Nuxt 3 to Nuxt 4
Build AI-powered Ruby applications with RubyLLM. Full lifecycle - chat, tools, streaming, Rails integration, embeddings, and production deployment. Covers all providers (OpenAI, Anthropic, Gemini, etc.) with one unified API.
Generate cross-platform installation scripts for any software, library, or module. Use when users ask to "create an installer", "generate installation script", "automate installation", "setup script for X", "install X on any OS", or need automated deployment across Windows, Linux, and macOS. The skill follows a three-phase approach: (1) Environment exploration - detect OS, gather system info, check dependencies; (2) Installation planning - propose steps with verification; (3) Execution with documentation generation.
Production-ready skill for integrating TheSys C1 Generative UI API into React applications. This skill should be used when building AI-powered interfaces that stream interactive components (forms, charts, tables) instead of plain text responses. Covers complete integration patterns for Vite+React, Next.js, and Cloudflare Workers with OpenAI, Anthropic Claude, and Cloudflare Workers AI. Includes tool calling with Zod schemas, theming, thread management, and production deployment. Prevents 12+ common integration errors and provides working templates for chat interfaces, data visualization, and dynamic forms. Use this skill when implementing conversational UIs, AI assistants, search interfaces, or any application requiring real-time generative user interfaces with streaming LLM responses. Keywords: TheSys C1, TheSys Generative UI, @thesysai/genui-sdk, generative UI, AI UI, streaming UI components, interactive components, AI forms, AI charts, AI tables, conversational UI, AI assistants UI, React generative UI, Vite generative UI, Next.js generative UI, Cloudflare Workers generative UI, OpenAI generative UI, Claude generative UI, Anthropic UI, Cloudflare Workers AI UI, tool calling UI, Zod schemas UI, thread management, theming UI, chat interface, data visualization, dynamic forms, streaming LLM UI
Deploy Next.js applications (App Router and Pages Router) to Cloudflare Workers using the OpenNext adapter. This skill should be used when deploying Next.js apps with SSR, ISR, or server components to Cloudflare's serverless platform. It covers setup for both new and existing projects, configuration requirements, development workflows, integration with Cloudflare services (D1, R2, KV, Workers AI), and prevention of 10+ documented errors including worker size limits, runtime compatibility, database connection scoping, and security vulnerabilities. Keywords: Cloudflare Next.js, OpenNext Cloudflare, @opennextjs/cloudflare, Next.js Workers, Next.js App Router Cloudflare, Next.js Pages Router Cloudflare, Next.js SSR Cloudflare, Next.js ISR, server components cloudflare, server actions cloudflare, Next.js middleware workers, nextjs d1, nextjs r2, nextjs kv, Next.js deployment, opennextjs-cloudflare cli, nodejs_compat, worker size limit, next.js runtime compatibility, database connection scoping, Next.js migration cloudflare
Dual skill for deploying scientific models. FastAPI provides a high-performance, asynchronous web framework for building APIs with automatic documentation. Streamlit enables rapid creation of interactive data applications and dashboards directly from Python scripts. Load when working with web APIs, model serving, REST endpoints, interactive dashboards, data visualization UIs, scientific app deployment, async web frameworks, Pydantic validation, uvicorn, or building production-ready scientific tools.
ABC Jenkins Project Deployment Skill. Supports intelligent parameter inference and interactive triggering of Jenkins builds, automatically retrieves Git branch and tag information. This skill is triggered when users request "Deploy Jenkins", "Trigger Build", "Deploy Project", "Jenkins Deployment" or similar operations. Requires environment variables JENKINS_USER and JENKINS_TOKEN.
Comprehensive GitOps methodology and principles skill for cloud-native operations. Use when (1) Designing GitOps architecture for Kubernetes deployments, (2) Implementing declarative infrastructure with Git as single source of truth, (3) Setting up continuous deployment pipelines with ArgoCD/Flux/Kargo, (4) Establishing branching strategies and repository structures, (5) Troubleshooting drift, sync failures, or reconciliation issues, (6) Evaluating GitOps tooling decisions, (7) Teaching or explaining GitOps concepts and best practices, (8) Deploying ArgoCD on Azure Arc-enabled Kubernetes or AKS with workload identity. Covers the 4 pillars of GitOps (OpenGitOps), patterns, anti-patterns, tooling ecosystem, Azure Arc integration, and operational guidance.