Generate emulate seed configs for stateful API emulation. Wraps Vercel's emulate tool for GitHub, Vercel, Google OAuth, Slack, Apple Auth, Microsoft Entra, and AWS (S3/SQS/IAM) APIs. Not mocks — full state machines where create-a-PR-and-it-appears-in-the-list. Use when setting up test environments, CI pipelines, integration tests, or offline development.
Инструменты MCP для команд 1C: Platform Tools (1C: Platform Tools MCP). Используй, когда нужно выполнить загрузку/выгрузку конфигурации, расширений, сборку EPF/ERF, запуск Конфигуратора/Предприятия, установку зависимостей — через MCP вместо палитры команд.
Deploy optimized AI/ML inference workloads on GKE using Google's Inference Quickstart (GIQ). Covers model discovery, manifest generation, and deployment using native MCP tools and CLI.
Adds any Power Platform connector to a Power Apps code app. Generic fallback for connectors not covered by a specific skill.
Configure the Canvas Authoring MCP server for Claude Code, VS Code Copilot, or GitHub Copilot CLI. USE WHEN "configure MCP", "set up MCP server", "MCP not working", "connect Canvas Apps MCP", "canvas-authoring not available", "MCP not configured", "set up canvas apps". DO NOT USE WHEN prerequisites are missing — direct the user to install .NET 10 SDK first.
Manages Terraform state operations such as importing, moving, and removing resources. Use this skill when the user needs to refactor Terraform state, import existing infrastructure, fixing state drift, or migrate backends without destroying resources.
Use when managing multiple environments with Pulumi stacks for development, staging, and production deployments.
Use when building reusable infrastructure components with Pulumi for modular, composable cloud resources.
Use when writing infrastructure-as-code with Pulumi using programming languages for cloud resource provisioning.
Use when creating and using reusable Terraform modules for organizing and sharing infrastructure code.
Use when writing and organizing Terraform infrastructure-as-code configurations for cloud resource provisioning.
Use when managing hosts and groups in Ansible inventory for organizing infrastructure and applying configurations across environments.
Use when managing Terraform state files, remote backends, and state locking for infrastructure coordination.
Migrate existing Terraform resources from SDK provider (sdkprovider) to Plugin Framework. Use when converting legacy resources, ensuring state compatibility, or when the user asks to port/migrate existing resources.
Generate new Terraform resources and data sources from YAML definitions and OpenAPI specs. Use when adding resources, creating YAML definitions, working with the Plugin Framework generator, or when the user asks about code generation.
MUST activate when the project contains a uiBundles/*/src/ directory and scaffolding a new UI bundle or app, or when editing ui-bundle.json, .uibundle-meta.xml, or CSP trusted site files. Use this skill when scaffolding with sf template generate ui-bundle, configuring ui-bundle.json (routing, headers, outputDir), or registering CSP Trusted Sites. Activate when the task involves files matching *.uibundle-meta.xml, ui-bundle.json, or cspTrustedSites/*.cspTrustedSite-meta.xml.
初始化项目的 Spec 驱动开发完整基础设施。新项目首次使用 Spec 工作流时调用， 负责搭建完整的项目骨架：AGENTS.md、.agents/rules/、.agents/skills/、spec/ 目录、 记忆系统和 Obsidian Vault。整个项目生命周期只需执行一次。 触发条件：(1) 用户说"初始化项目"/"搭建 Spec 环境"/"创建开发环境"， (2) 新项目首次使用 Spec 工作流， (3) 项目根目录下不存在 AGENTS.md 或 spec/ 目录。 注意：本 Skill 只做项目基础设施搭建。启动开发任务请使用 spec-start。
Prevent Terraform/OpenTofu hallucinations by diagnosing and fixing failure modes: identity churn, secret exposure, blast-radius mistakes, CI drift, and compliance gate gaps. Use when generating, reviewing, refactoring, or migrating IaC and when building delivery/testing pipelines.
Deploy LLM models on OCI using AI Quick Actions (AQUA) - single model, multi-model, stacked (LoRA), with GPU shape selection, vLLM configuration, streaming, and tool calling. Triggered when user wants to deploy, update, or manage model deployments.
Skill in automating software deployment pipelines and managing cloud infrastructure for scalable, reliable systems.
GFS MCP Server for AI agent integration. Provides Model Context Protocol tools for database version control with automatic schema versioning.
Use when working with AWS Strands Agents SDK or Amazon Bedrock AgentCore platform for building AI agents. Provides architecture guidance, implementation patterns, deployment strategies, observability, quality evaluations, multi-agent orchestration, and MCP server integration.
