3209 skills
Assess and migrate JavaScript or TypeScript bots from BotBuilder/Bot Framework SDK to Microsoft 365 Agents SDK with AgentApplication. Use to produce a migration report and plan before editing code, map BotBuilder packages and APIs, identify unsupported features, and implement only the supported plan items selected by the user.
Use when any code imports @microsoft/agents-hosting, @microsoft/agents-hosting-express, or related Agents SDK packages, or when the user is building, configuring, or asking questions about a Microsoft 365 Agents SDK agent in TypeScript. Trigger on questions about environment variables, connection configuration, AgentApplication patterns, OAuth sign-in flows, storage backends, cards, streaming, or local testing with the Agents Playground — even if no code exists yet and the user is planning or asking how to get started.
Use when adding, configuring, validating, or troubleshooting OpenTelemetry observability for a Microsoft 365 Agents SDK application in JavaScript or TypeScript. Trigger when the user mentions OpenTelemetry, OTel, telemetry, traces, metrics, logs, OTLP, Aspire Dashboard, Application Insights, Azure Monitor, distributed tracing, custom tracers or meters, or observing @microsoft/agents-telemetry signals.
Use when troubleshooting an agent built with the Microsoft Agents SDK (@microsoft/agents-hosting and related packages). Trigger on any of these symptoms: build or TypeScript errors, crashes on startup, 401 or auth errors on incoming requests, the bot not responding to messages, .env configuration problems, Azure AD credential failures (AADSTS errors), port conflicts, or the agent not connecting in Teams or the Agents Playground. Use even if the user doesn't mention the SDK by name — trigger on symptoms like "my bot won't start", "getting 401s", or "bot isn't responding."
Runs an Agent 365 AI Teammate agent locally and opens AgentsPlayground for interactive local testing. Works with any AI Teammate stack — .NET (AgentFramework, Semantic Kernel), Node.js (LangChain, OpenAI, Claude SDK, Semantic Kernel, Google ADK), or Python (AgentFramework, LangChain, OpenAI, Claude, Semantic Kernel, Google ADK). Checks prerequisites (agentsplayground CLI, build tools), builds the agent, starts it in the background, and launches the playground UI pointed at the local endpoint. AgentsPlayground connects to /api/messages over HTTP — the LLM framework does not matter.
Transforms a non-M365 agent into a Microsoft Agent 365 AI Teammate. Supports all major frameworks across .NET (AgentFramework, Semantic Kernel), Node.js (LangChain, OpenAI Agents SDK, Claude SDK, Semantic Kernel, Google ADK), and Python (AgentFramework, LangChain, OpenAI, Claude, Semantic Kernel, Google ADK). Adds the hosting layer (Express/CloudAdapter for Node.js, ASP.NET Core for .NET, aiohttp for Python), AgentApplication class with message routing and typing indicators, email notifications, and all required packages and env vars. Wraps existing LLM code — does not replace it. Requires a36
Provisions a non-AI Teammate agent with Agent 365 — use this skill for Register and Observability paths. Runs a365 setup all to create the Blueprint and Entra ID permissions. After setup, always offers instrument-observability (optional) and add-workiq-tools (optional, skipped automatically when authMode = s2s) as add-ons. Supports .NET AgentFramework, Node.js, and Python agents. Normally delegated to from a365-setup after CLI and Azure prerequisites are confirmed. Can also be invoked directly when those steps are already done.
Instruments Microsoft Agent 365 observability into existing .NET AgentFramework, Node.js, or Python agents. Adds OTel-based tracing, context propagation, A365 exporter, manual instrumentation scopes (InvokeAgentScope, InferenceScope, ExecuteToolScope — required for store publishing), and updates configuration files. Asks a two-stage question — agent kind (AI Teammate or Agent (Non AI Teammate)) and auth mode — to determine the correct token path: OBO (`obo` / `agentic-user`) or Service Principal (`s2s`) (FMI 3-hop token chain with Power Platform scope supported for .NET, Node.js, and Python —
Adds WorkIQ MCP tool servers to an existing .NET AgentFramework, Node.js, or Python agent using the A365 CLI. Runs a365 develop list-available to show the catalog, adds selected servers via a365 develop add-mcp-servers (which writes ToolingManifest.json), wires McpToolRegistrationService in the agent code, and guides the user through the permissions handoff. Non-destructive and idempotent.
Entry point for general Agent 365 (A365) registration and CLI setup — use this skill whenever the user wants to "set up A365", "register agent", "create blueprint", or general A365 onboarding for non-AI-Teammate agents (Register, Observability paths). Verifies and installs the CLI, validates Azure prerequisites, then delegates to make-a365-agent or make-ai-teammate at Step 3. Does NOT run a365 setup all inline — setup is run by the delegated skill. Supports .NET AgentFramework, Node.js LangChain, and Python agents.
Validates and optionally fixes Agent 365 observability code so an agent actually emits MAC Activity telemetry. Use when an Agent 365 agent's telemetry isn't reaching MAC Activity or Defender, when spans export (HTTP 200 / "sent") but Activity stays empty, when the caller or agent id looks wrong in reporting, or to pre-flight whether an agent will emit MAC Activity before shipping. Diagnoses and fixes existing instrumentation; do NOT use it to add observability from scratch — use instrument-observability for that. Checks exporter activation, runtime agent-identity binding (vs blueprint id), the
Generate structured code review for staged files AND all branch commits since main, using Claude Code agents. Provides full PR-equivalent coverage before pushing.
Provides the action space, tradeoffs, and evaluation context for improving an editable AI agent against a benchmark while preserving its deployment contract. Use when optimizing agent accuracy, cost, latency, or reliability.
Prepare and publish stable Agent Lightning releases through the repository's version bump, pull-request checks, merge, tag, PyPI trusted-publishing, and versioned-documentation workflows. Use when asked to plan, cut, verify, or explain a release; treat nightly TestPyPI builds as a separate path.
Create and validate a minimal AGT Copilot CLI policy tailored to the repository being inspected.
Step-by-step process for validating a Python Foundry hosted agent sample (under python/samples/04-hosting/foundry-hosted-agents/) end to end — running it locally (native runtime and `azd ai agent run`) and after deploying it to an Azure AI Foundry project with `azd`. Use this when asked to validate a hosted agent sample.
Resolve missing setup caused by a hardcoded Foundry project endpoint or model in a sample. Use when a sample fails because it uses a placeholder/hardcoded project_endpoint (for example "https://your-project.services.ai.azure.com") or a hardcoded model instead of reading them from the environment.
Guidelines for writing and running tests in the Agent Framework Python codebase. Use this when creating, modifying, or running tests.
Guide for managing packages in the Agent Framework Python monorepo, including creating new connector packages, versioning, and the lazy-loading pattern. Use this when adding, modifying, or releasing packages.
Guidance for package and feature lifecycle in the Agent Framework Python codebase, including stage meanings, feature-stage decorators, feature enums, and how to move APIs from one stage to the next.
Coding standards, conventions, and patterns for developing Python code in the Agent Framework repository. Use this when writing or modifying Python source files in the python/ directory.
Code quality checks, linting, formatting, and type checking commands for the Agent Framework Python codebase. Use this when running checks, fixing lint errors, or troubleshooting CI failures.
Use when cutting a Python release for the microsoft/agent-framework monorepo. Triggers on "bump py versions", "cut a python release", "prepare release PR for python", "release py packages", "bump python to X.Y.Z", or similar requests to bump Python package versions and prepare a release PR. Handles all four lifecycle tiers (alpha, beta, rc, released) with CHANGELOG-driven selective bumps, floor bound checks, and post-bump validation.
