wechat-message-sender

cloudsen/eliteforge-skills

在 macOS 上通过微信桌面版向指定联系人发送文本消息。用户提供联系人名称和消息内容时使用，例如“给张三发微信：xxx”“打开微信给某人发送一句话”“用微信发送指定文本”。运行前必须已安装微信桌面版，并给当前终端或 Codex 辅助功能权限。执行时只做精确匹配：先搜索联系人，再校验当前会话标题与目标完全一致；匹配失败就停止，避免误发。

eliteforge-framework-specification

cloudsen/eliteforge-skills

约束 Java 开发优先复用璀璨工坊统一框架能力，避免重复造轮子。基于《璀璨工坊统一框架-使用手册-nightly》提供统一框架接入、升级、配置、Starter 选型与排障指引。命中框架能力时必须使用框架内 Starter 和对应抽象 API，禁止回退到 Spring 官方 starter 或绕过框架抽象层（如缓存场景绕过 CacheService 直接用 StringRedisTemplate）。用户提到“统一框架”“starter清单”“接入步骤”“升级步骤”“系统要求”“Web MVC/服务间调用/Mybatis-Plus/加解密/缓存/多数据源/代码生成器/资源抽象层”或需要判断“该功能是否应直接使用某个 starter（如 cache-starter）”时使用。

eliteforge-task-progress-tracker

cloudsen/eliteforge-skills

Create and maintain a simple task progress memo in docs/tasks/task-description.md by default, or in an explicit task directory supplied by the user or another active skill. Use when the user wants a plan, TODO steps, acceptance criteria, checkbox syncing, status updates, or progress tracking that stays in sync while the agent works. Treat git commits as required recovery checkpoints: each meaningful change must be committed and the commit id must be written into the matching step note.

eliteforge-java-uml

cloudsen/eliteforge-skills

根据业务需求生成可落地的 Java 25 PlantUML 类图设计，统一分层建模、关系落点、分页查询、枚举实例展示、类内说明和模块配色规则。用户提到“Java UML”“PlantUML 类图”“领域建模”“分层架构设计”“Repository 查询设计”“类图评审”时使用；优先产出 UML 文件，禁止臆造与无落点关系。

eliteforge-java-service-generator

cloudsen/eliteforge-skills

Generate an EliteForge Java service project via Maven archetype wrapper script. Use when users ask to scaffold a new EliteForge service, provide companyName/productName/serviceName (kebab-case), need Maven archetype generation execution, or want tech stack to enableXXX mapping.

eliteforge-frontend-generator

cloudsen/eliteforge-skills

Generate EliteForge frontend projects with the same logic as cisdigital-generator-app. Reuse the exact project type to template mapping for frontendapp/frontendui/frontendsdk, naming rules for company/product/service, and onebase-cli command assembly. Use when users ask to scaffold EliteForge frontend app projects, Vue3 component monorepo projects, JS SDK/lib projects, or request a dry-run command preview aligned with this generator. Always require user-provided required parameters and never infer missing required fields.

microsoft-foundry

microsoft/azure-skills

Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, managed harness agent create, GitHub Copilot harness agent, create agent, update agent, add tool to agent, invoke agent, agent insights, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, optimize agent instructions, Agent Optimizer scaffold, dataset curation from traces, deploy model, model fine-tuning (SFT/DPO/RFT), Foundry project, RBAC, role assignment, permissions, quota, capacity, region, deployment failure, AI Services, create Foundry resource, knowledge index, customize deployment, onboard, availability, training-data, grader, distillation, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure

azure-diagnostics

microsoft/azure-skills

Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, container app 503 or target port mismatch, troubleshoot functions, function telemetry missing or stopped after a config/connection-string change, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors, troubleshoot event hubs, troubleshoot service bus, messaging SDK error, AMQP connection failure, message lock lost, lock renewal during long-running processing, service bus dead letter.

azure-prepare

microsoft/azure-skills

Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.

azure-ai

microsoft/azure-skills

Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.

azure-deploy

microsoft/azure-skills

Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: "run azd up", "run azd deploy", "execute deployment", "push to production", "push to cloud", "go live", "ship it", "bicep deploy", "terraform apply", "publish to Azure", "launch on Azure". DO NOT USE WHEN: "create and deploy", "build and deploy", "create a new app", "set up infrastructure", "create and deploy to Azure using Terraform" — use azure-prepare for these.

azure-validate

microsoft/azure-skills

Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying. WHEN: validate my app, check deployment readiness, run preflight checks, verify configuration, check if ready to deploy, validate azure.yaml, validate Bicep, test before deploying, troubleshoot deployment errors, validate Azure Functions, validate function app, validate serverless deployment, verify RBAC roles, check role assignments, review managed identity permissions, what-if analysis, validate Container Apps deployment.