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Create GitHub Issues for unimplemented requirements from specification files using feature_request.yml template.

Create GitHub Issue for feature request from specification file using feature_request.yml template.

Skill converted from mcp-deploy-manage-agents.prompt.md

Generate Python SDK setup + CRUD + bulk + paging snippets using official patterns.

This workflow guides you through a systematic approach to identify missing features, prioritize them, and create detailed specifications for implementation.

Containerize an ASP.NET Core project by creating Dockerfile and .dockerfile files customized for the project.

Find which of a GitHub repository's dependencies are sponsorable via GitHub Sponsors. Uses deps.dev API for dependency resolution across npm, PyPI, Cargo, Go,…

Generate a complete Model Context Protocol server project in Java using the official MCP Java SDK with reactive streams and optional Spring Boot integration.

Generate complete solutions for specific Dataverse SDK use cases with architecture recommendations

Scaffold a complete Power Apps Code App project with PAC CLI setup, SDK integration, and connector configuration

Step-by-step guide for capturing key application requirements for NoSQL use-case and produce Azure Cosmos DB Data NoSQL Model design using best practices and…

Analyze Azure resource health, diagnose issues from logs and telemetry, and create a remediation plan for identified problems.

Analyze Azure resources used in the app (IaC files and/or resources in a target rg) and optimize costs - creating GitHub issues for identified optimizations.

Containerize an ASP.NET .NET Framework project by creating Dockerfile and .dockerfile files customized for the project.

Design LLM applications using LangChain 1.x and LangGraph for agents, memory, and tool integration. Use when building LangChain applications, implementing AI…

使用 Agents SDK 在 Cloudflare Workers 上构建 AI 代理。适用于构建有状态代理、持久化工作流、实时 WebSocket 应用、定时任务等场景。

Configure an MCP server for GitHub Copilot with your Dataverse environment.

当用户希望“编写智能体代码”、“使用 ADK 构建智能体”、“添加工具”、“创建回调”、“定义智能体”、“使用状态管理”，或需要 ADK (Agent Development Kit) Python API 模式与代码示例时，应使用此技能。它是 Google ADK 技能套件的一部分。它为智能体类型、工具定义、编排模式、回调和状态管理提供了快速参考。请勿用于创建新项目（请使用 google-agents-cli-scaffold）或部署（请使用 google-agents-cli-deploy）。

当用户希望“开发智能体”、“使用 ADK 构建智能体”、“在本地运行智能体”、“调试智能体代码”、“测试智能体”、“部署智能体”、“发布智能体”、“监控智能体”，或需要 ADK (Agent Development Kit) 开发生命周期与编码规范时，应使用此技能。它是构建 ADK 智能体的入口。始终处于激活状态——提供完整的工作流（脚手架、构建、评估、部署、发布、监控）、代码保留规则、模型选择指南，以及针对 ADK 或任何智能体开发的故障排除步骤。

当用户想要“设置链路追踪”、“监控我的 ADK agent”、“配置日志记录”、“添加可观测性”、“调试生产流量”，或需要关于监控已部署的 ADK (Agent Development Kit) agent 的指导时，应使用此技能。涵盖 Cloud Trace、提示词-响应日志记录、BigQuery Agent Analytics、第三方集成（AgentOps、Phoenix、MLflow 等）以及故障排查。属于 Google ADK (Agent Development Kit) 技能套件的一部分。请勿用于部署设置（请使用 google-agents-cli-deploy）或 API 代码模式（请使用 google-agents-cli-adk-code）。