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Found 1,596 Skills
Deploy Evernote integrations to production environments. Use when deploying to cloud platforms, configuring production, or setting up deployment pipelines. Trigger with phrases like "deploy evernote", "evernote production deploy", "release evernote", "evernote cloud deployment".
Configure Gamma across development, staging, and production environments. Use when setting up multi-environment deployments, configuring per-environment secrets, or implementing environment-specific Gamma configurations. Trigger with phrases like "gamma environments", "gamma staging", "gamma dev prod", "gamma environment setup", "gamma config by env".
Docker containerization for development and production. Covers Dockerfiles, multi-stage builds, layer caching, Compose services, networking, volumes, health checks, security hardening, and production deployment patterns. Use when writing Dockerfiles, optimizing image size, configuring Compose services, debugging container networking, setting up health checks, hardening containers for production, or troubleshooting build cache issues.
Operate Railway infrastructure: create projects, provision services and databases, deploy code, configure environments and variables, manage domains, troubleshoot failures, check status and metrics, and query Railway docs. Use this skill whenever the user mentions Railway, deployments, services, environments, build failures, or infrastructure operations, even if they don't say "Railway" explicitly.
Guides teams through designing, implementing, and optimizing CI/CD pipelines, GitHub Actions workflows, deployment automation, and agentic workflow patterns. Provides production-ready templates, cost optimization strategies, quality gates, and multi-environment deployment planning for modern DevOps practices.
How an AI agent plans, builds, and deploys a complete Ethereum dApp. The three-phase build system for Scaffold-ETH 2 projects. Use when building a full application on Ethereum — from contracts to frontend to production deployment on IPFS.
Ethereum development knowledge for AI agents — from idea to deployed dApp. Fetch real-time docs on gas costs, Solidity patterns, Scaffold-ETH 2, Layer 2s, DeFi composability, security, testing, and production deployment. Use when: (1) building any Ethereum or EVM dApp, (2) writing or reviewing Solidity contracts, (3) deploying to mainnet or L2s, (4) the user asks about gas, tokens, wallets, or smart contracts, (5) any web3/blockchain/onchain development task. NOT for: trading, price checking, or portfolio management — use a trading skill for those.
Integrate and optimize Core ML models in iOS apps for on-device machine learning inference. Covers model loading (.mlmodelc, .mlpackage), predictions with auto-generated classes and MLFeatureProvider, compute unit configuration (CPU, GPU, Neural Engine), MLTensor, VNCoreMLRequest, MLComputePlan, multi-model pipelines, and deployment strategies. Use when loading Core ML models, making predictions, configuring compute units, or profiling model performance.
Bootstrap and maintain a local Superise wallet service from the official Docker Hub image. Use this when the task is to install, start, stop, restart, verify, inspect, clean up, upgrade, or recover the initial Owner password for a local Superise deployment, especially for first-run Docker quickstart setup, volume checks, health checks, log inspection, cleanup, published-image refresh operations, or explicit initial-password lookup requests.
Expert knowledge for Azure AI Bot Service development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Azure bots with Web Chat/Direct Line, Teams, OAuth/SSO, QnA/LUIS, or proactive messaging, and other Azure AI Bot Service related development tasks. Not for Azure Health Bot (use azure-health-bot), Azure Web PubSub (use azure-web-pubsub), Azure Communication Services (use azure-communication-services), Azure App Service (use azure-app-service).
Expert knowledge for Azure NetApp Files development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when deploying ANF for SAP HANA/Oracle, AzAcSnap, NFS/SMB shares, cross-region replication, or ransomware protection, and other Azure NetApp Files related development tasks. Not for Azure Blob Storage (use azure-blob-storage), Azure Files (use azure-files), Azure Elastic SAN (use azure-elastic-san), Azure Managed Lustre (use azure-managed-lustre).
Expert knowledge for Azure Defender For Iot development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when deploying OT sensors, configuring micro agents, setting up traffic mirroring, or integrating with Sentinel/SIEM, and other Azure Defender For Iot related development tasks. Not for Azure Defender For Cloud (use azure-defender-for-cloud), Azure Security (use azure-security), Azure External Attack Surface Management (use azure-external-attack-surface-management), Azure Sentinel (use azure-sentinel).