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Found 788 Skills
Expert knowledge for Azure Synapse Analytics development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building, debugging, or optimizing Azure Synapse Analytics applications. Not for Azure Data Factory (use azure-data-factory), Azure Data Explorer (use azure-data-explorer), Azure Databricks (use azure-databricks), Azure Stream Analytics (use azure-stream-analytics).
CI/CD pipeline expert for GitHub Actions, GitLab CI, Jenkins, and deployment automation
Expert assistance for next-forge — a production-grade Turborepo template for Next.js SaaS apps. Triggers on questions about next-forge installation, setup, architecture, packages, customization, deployment, and development workflows.
Production readiness checklist for Granola deployment. Use when preparing for team rollout, enterprise deployment, or ensuring Granola is properly configured for production use. Trigger with phrases like "granola production", "granola rollout", "granola deployment", "granola checklist", "granola enterprise setup".
Use this skill when setting up CI/CD pipelines, configuring GitHub Actions, implementing deployment strategies, or automating build/test/deploy workflows. Triggers on GitHub Actions, CI pipeline, CD pipeline, deployment automation, blue-green deployment, canary release, rolling update, build matrix, artifacts, and any task requiring continuous integration or delivery setup.
Debug deployment failures for Webflow Code Components. Analyzes error messages, identifies root causes, and provides specific fixes for common issues.
This skill should be used when the user asks to "build an MCP server", "create an MCP", "make an MCP integration", "wrap an API for Claude", "expose tools to Claude", "make an MCP app", or discusses building something with the Model Context Protocol. It is the entry point for MCP server development — it interrogates the user about their use case, determines the right deployment model (remote HTTP, MCPB, local stdio), picks a tool-design pattern, and hands off to specialized skills.
Create a pull request for the current feature branch. Generates a PR description from commits, runs pre-submission checks, and optionally activates the Deployment Council for production-impacting changes. Use when your feature branch is ready to merge to main.
Use when the user wants to automate WeChat mini-program upload, preview, or npm packaging via CI/CD, generate deployment scripts, set up miniprogram-ci workflows, or create preview QR codes automatically. Trigger whenever the user mentions "上传小程序", "预览", "CI 部署", "miniprogram-ci", "自动化上传", "发布小程序版本", "生成预览二维码", "打包npm", "pack-npm", "构建npm依赖", "GitHub Actions 小程序", "pnpm 小程序部署", or asks to integrate WeChat mini-program with continuous integration pipelines (GitHub Actions, GitLab CI, etc.).
This skill should be used when the user wants to manage Railway deployments, view logs, or debug issues. Covers deployment lifecycle (remove, stop, redeploy, restart), deployment visibility (list, status, history), and troubleshooting (logs, errors, failures, crashes, why deploy failed). NOT for deleting services - use environment skill with isDeleted for that.
Manage Railway deployments - view logs, redeploy, restart, or remove deployments. Use for deployment lifecycle (remove, stop, redeploy, restart), deployment visibility (list, status, history), and troubleshooting (logs, errors, failures, crashes). NOT for deleting services - use railway-environment skill with isDeleted for that.
Manage Railway deployments, view logs, check status, and manage environment variables. Use when working with Railway hosting, deployments, or infrastructure.