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Found 2,795 Skills
Expert AWS Cloud Advisor for architecture design, security review, and implementation guidance. Leverages AWS MCP tools for accurate, documentation-backed answers. Use when user asks about AWS architecture, security, service selection, migrations, troubleshooting, or learning AWS. Triggers on AWS, Lambda, S3, EC2, ECS, EKS, DynamoDB, RDS, CloudFormation, CDK, Terraform, Serverless, SAM, IAM, VPC, API Gateway, or any AWS service.
This skill provides comprehensive knowledge for integrating Vercel KV (Redis-compatible key-value storage powered by Upstash) into Vercel applications. It should be used when setting up Vercel KV for Next.js applications, implementing caching patterns, managing sessions, or handling rate limiting in edge and serverless functions. Use this skill when: - Setting up Vercel KV for Next.js applications - Implementing caching strategies (page cache, API cache, data cache) - Managing user sessions or authentication tokens in serverless environments - Building rate limiting for APIs or features - Storing temporary data with TTL (time-to-live) - Migrating from Cloudflare KV to Vercel KV - Encountering errors like "KV_REST_API_URL not set", "rate limit exceeded", or "JSON serialization errors" - Need Redis-compatible API with strong consistency (vs eventual consistency) Keywords: vercel kv, @vercel/kv, vercel redis, upstash vercel, kv vercel, redis vercel edge, key-value vercel, vercel cache, vercel sessions, vercel rate limit, redis upstash, kv storage, edge kv, serverless redis, vercel ttl, vercel expire, kv typescript, next.js kv, server actions kv, edge runtime kv
Complete guide for OpenAI's traditional/stateless APIs: Chat Completions (GPT-5, GPT-4o), Embeddings, Images (DALL-E 3), Audio (Whisper + TTS), and Moderation. Includes both Node.js SDK and fetch-based approaches for maximum compatibility. Use when: integrating OpenAI APIs, implementing chat completions with GPT-5/GPT-4o, generating text with streaming, using function calling/tools, creating structured outputs with JSON schemas, implementing embeddings for RAG, generating images with DALL-E 3, transcribing audio with Whisper, synthesizing speech with TTS, moderating content, deploying to Cloudflare Workers, or encountering errors like rate limits (429), invalid API keys (401), function calling failures, streaming parse errors, embeddings dimension mismatches, or token limit exceeded. Keywords: openai api, chat completions, gpt-5, gpt-5-mini, gpt-5-nano, gpt-4o, gpt-4-turbo, openai sdk, openai streaming, function calling, structured output, json schema, openai embeddings, text-embedding-3, dall-e-3, image generation, whisper api, openai tts, text-to-speech, moderation api, openai fetch, cloudflare workers openai, openai rate limit, openai 429, reasoning_effort, verbosity
通用自媒体文章自动发布工具。支持百家号、搜狐号、知乎三个平台的自动化发布流程。使用Playwright MCP工具实现平台导航和发布页面进入，支持通过storageState管理Cookie实现账号切换。当用户需要发布文章到自媒体平台、打开平台发布页面、切换自媒体账号时使用此skill。工作流程：1)检查并打开指定平台 2)验证登录状态 3)自动关闭广告弹窗 4)导航到发布文章页面 5)收集发布信息 6)自动填写并发布。
MANDATORY when working with geographic data, spatial queries, geometry operations, or location-based features - enforces PostGIS 3.6.1 best practices including ST_CoverageClean, SFCGAL 3D functions, and bigint topology
Write compiler and toolchain code in the style of Chris Lattner, creator of LLVM, Clang, Swift, and MLIR. Emphasizes modular compiler design, reusable infrastructure, progressive lowering, and pragmatic language evolution. Use when building compilers, language tools, or performance-critical infrastructure.
Guide for implementing Grafana Tempo - a high-scale distributed tracing backend for OpenTelemetry traces. Use when configuring Tempo deployments, setting up storage backends (S3, Azure Blob, GCS), writing TraceQL queries, deploying via Helm, understanding trace structure, or troubleshooting Tempo issues on Kubernetes.
Use when creating, searching, updating, or managing GitHub issues via CLI. Triggers: "issue", "create issue", "gh issue", "task tracking", "context", "handoff", "resume task", "session context", "save progress", "active tasks", "in-progress", "my tasks", "open issues". Covers: gh commands, bulk operations, JSON/jq, search filters, issue-to-PR workflow, AI session context storage, task workflow with labels.
Provides comprehensive Oracle Cloud Infrastructure (OCI) guidance including compute instances, networking (VCN, load balancers, VPN), storage (block, object, file), database services (Autonomous Database, MySQL, NoSQL), container orchestration (OKE), identity and access management (IAM), resource management, cost optimization, and infrastructure as code (Terraform OCI provider, Resource Manager). Produces infrastructure code, deployment scripts, configuration guides, and architectural diagrams. Use when designing OCI architecture, provisioning cloud resources, migrating to Oracle Cloud, implementing OCI security, setting up OCI databases, deploying containerized applications on OKE, managing OCI resources, or when users mention "Oracle Cloud", "OCI", "Autonomous Database", "VCN", "OKE", "OCI Terraform", "Resource Manager", "Oracle Cloud Infrastructure", or "OCI migration".
Complete full-stack development with Next.js 13+, React, Firebase, Tailwind CSS, and payment integration (Stripe, JazzCash, EasyPaisa). Build production-ready e-commerce platforms, SaaS applications, and scalable web applications. Comprehensive coverage of frontend architecture, backend API routes, database design, authentication systems, payment processing, form handling, error management, and optimization. Generate complete project structures, pages, components, API routes, database schemas, security rules, and deployment configurations using TypeScript.
Guide for writing expressive, behavior-focused tests following Vladimir Khorikov's testing principles. Apply when writing, reviewing, or renaming any test (unit, integration, e2e) in any programming language. Triggers: writing tests, creating test files, adding test cases, reviewing test names, 'test naming', 'rename tests', 'Khorikov', or any test creation task. Covers: naming conventions (plain English over rigid policies), what to test (behavior not implementation), testing styles (output > state > communication), and pragmatic test investment.
iOS security best practices including Keychain Services, CryptoKit encryption, biometric authentication with Face ID and Touch ID, Secure Enclave key storage, LAContext configuration, App Transport Security (ATS), certificate pinning, data protection classes, secure coding patterns, and encryption implementation. Use when implementing app security features, auditing privacy manifests, configuring App Transport Security, securing keychain access, adding biometric authentication, or encrypting sensitive data with CryptoKit.