Access Azure AI Search, Speech, OpenAI, and Document Intelligence services through unified MCP tools. AI Search supports full-text, vector, hybrid, and semantic search with built-in AI enrichment for entity extraction and OCR Speech service handles real-time and batch speech-to-text transcription, text-to-speech synthesis with neural voices, and speaker diarization MCP tools provide direct access: azure__search for index queries and azure__speech for transcription and synthesis SDK references available for Python, TypeScript, .NET, and Java across all services; enable via /azure:setup or /mcp if MCP is not active
End-to-end deployment, evaluation, and management of AI agents on Microsoft Foundry. Covers the complete agent lifecycle: creation from starter samples, containerization and ACR push, hosted or prompt agent deployment, invocation, batch evaluation, and prompt optimization Includes specialized sub-skills for deploy, invoke, observe (evaluation and prompt optimization), trace analysis, troubleshooting, and dataset curation from production traces Supports project and resource provisioning, RBAC management, quota tracking, and model deployment with intelligent routing across regions and SKUs Requires .foundry/agent-metadata.yaml as the source of truth for environment-specific configuration, datasets, and evaluation test cases
Configure Azure API Management as an AI Gateway for models, MCP tools, and agents with built-in governance policies. Supports semantic caching (60-80% cost savings), token rate limiting, content safety filtering, and jailbreak detection across AI backends Add Azure OpenAI, AI Foundry models, or convert existing APIs to MCP tools as managed backends with load balancing Includes five core policy categories: authentication, semantic cache lookup, token limits, content safety, and token metrics for observability Requires Azure CLI for configuration and testing; integrates with managed identity for secure backend access
Build and deploy GitHub Copilot SDK applications to Azure with flexible model configuration. Three scaffolding paths: create new greenfield projects, add SDK services to existing repos, or deploy existing SDK apps with Azure infrastructure Supports three model configurations: GitHub's default models, specific GitHub models via discovery, or bring-your-own-model (BYOM) on Azure with DefaultAzureCredential authentication Includes complete templates with Express/TypeScript API, React/Vite frontend, Bicep infrastructure, Docker support, and token management scripts Deploy workflow uses azure-prepare, azure-validate, and azure-deploy steps; requires Docker and respects existing AGENTS.md configuration in user repos
Structured design dialogue that validates ideas before implementation begins. Enforces a hard gate: no code, scaffolding, or implementation actions until design is presented and approved Guides through nine sequential steps: context exploration, clarifying questions, approach proposals, design presentation, spec documentation, review loop, and user sign-off Applies to all projects regardless of perceived complexity; even simple tasks require a brief design review to catch unexamined assumptions Includes optional visual companion for mockups, diagrams, and layout comparisons during brainstorming Terminates by invoking the writing-plans skill to create implementation roadmaps
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飞书视频会议：搜索历史会议、查询会议纪要产物（总结、待办、章节、逐字稿）、查询会议参会人快照。1. 查询已经结束的会议数量或详情时使用本技能（如历史日期｜昨天｜上周｜今天已经开过的会议等场景），查询未开始的会议日程使用 lark-calendar 技能。2.…
会议纪要整理工作流：汇总指定时间范围内的会议纪要并生成结构化报告。当用户需要整理会议纪要、生成会议周报、回顾一段时间内的会议内容时使用。
飞书日历（calendar）：提供日历与日程（会议）的全面管理能力。核心场景包括：查看/搜索日程、创建/更新日程、管理参会人、查询忙闲状态及推荐空闲时段、查询/搜索与预定会议室。注意：涉及【预约日程/会议】或【查询/预定会议室】时，必须先读取…
Lightweight brainstorming framework for fast, focused design decisions before implementation. Guides you through discovery, proposal, convergence, and capture phases to move from idea to approved direction without process overhead Asks batched clarifying questions upfront to understand context, constraints, and success criteria, then presents 2 approaches with trade-offs and a recommendation Enforces a hard boundary: no code, scaffolding, or implementation until you explicitly approve a direction Scales process depth to task complexity, from single-message decisions on small changes to thorough exploration for larger architectural work
Take a personality assessment via the SoulTrace API. Use when the user wants to take a personality test, discover their psychological archetype, understand…
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