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Found 8,858 Skills
Comprehensive OpenTofu expertise including migration from Terraform, state encryption, OpenTofu 1.10/1.11 features (OCI registry, native S3 locking, ephemeral resources, enabled meta-argument), and CI/CD integration. Covers when to use OpenTofu vs Terraform with decision matrix.
Nuxt 4 server-side development with Nitro: API routes, server middleware, database integration, and backend patterns. Use when: creating server API routes, implementing server middleware, integrating databases (D1, PostgreSQL, Drizzle), handling file uploads, implementing WebSockets, or building backend logic with Nitro. Keywords: server routes, API routes, Nitro, defineEventHandler, getRouterParam, getQuery, readBody, setCookie, createError, server middleware, D1, Drizzle, PostgreSQL, WebSocket, file upload
TypeScript testing patterns with Jest/Vitest including unit tests, integration tests, mocking strategies, and coverage. Use when writing or running TypeScript tests.
View and debug b2c CLI configuration and understand where credentials come from. Always reference when using the CLI to inspect configuration, manage instances, retrieve OAuth tokens, or set up IDE integration. Also use when authentication fails, connection errors occur, or the wrong instance is being used.
End-to-end Radius Network development playbook. Stablecoin-native EVM with sub-second finality and 2.8M+ TPS. Uses plain viem (defineChain, createPublicClient, createWalletClient) for all TypeScript integration. wagmi for React wallet integration. Foundry for smart contract development and testing. Covers micropayment patterns (pay-per-visit content, real-time API metering, streaming payments), x402 protocol integration, stablecoin-native fees via Turnstile, ERC-20 operations, event watching, production gotchas, and EVM compatibility differences from Ethereum.
Orchestrates TypeScript SDK integration for Aptos dApps. Routes to granular skills for specific tasks (client setup, accounts, transactions, view functions, types, wallet adapter). Use this skill for fullstack dApp integration or when multiple SDK concerns are involved. Triggers on: 'typescript sdk', 'ts-sdk', 'aptos sdk', 'SDK setup', 'interact with contract', 'call aptos', 'aptos javascript', 'frontend integration', 'fullstack'.
Facebook Ads integration. Manage Campaigns, Audiences, Pixels. Use when the user wants to interact with Facebook Ads data.
A guided, zero-friction installer and maintenance assistant for OpenClaw. Use this skill when the user wants to install OpenClaw, set up OpenClaw on a local machine or remote server, connect OpenClaw to DingTalk, get OpenClaw skill recommendations for their use case, or perform post-installation maintenance (health checks, troubleshooting, installing new skills, changing AI models, adding chat channels, updating OpenClaw). Handles full environment detection, installation, optional DingTalk integration, scene-based skill recommendations, and daily maintenance — all interactively, with no wasted steps.
X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.
Gitlab integration. Manage Projects, Groups, Users, Labels. Use when the user wants to interact with Gitlab data.
Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI (MEAI), Microsoft Agent Framework (MAF), GitHub Copilot SDK, ONNX Runtime, and OllamaSharp. Covers the full spectrum from classic ML through modern LLM orchestration to local inference. Use when adding classification, regression, clustering, anomaly detection, recommendation, LLM integration (text generation, summarization, reasoning), RAG pipelines with vector search, agentic workflows with tool calling, Copilot extensions, or custom model inference via ONNX Runtime to a .NET project. DO NOT USE FOR projects targeting .NET Framework (requires .NET 8+), the task is pure data engineering or ETL with no ML/AI component, or the project needs a custom deep learning training loop (use Python with PyTorch/TensorFlow, then export to ONNX for .NET inference).
Plasmic integration. Manage Projects. Use when the user wants to interact with Plasmic data.