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3058 skills

instrument-observability

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 —

Infrastructure

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add-workiq-tools

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.

AI Agents

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a365-setup

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.

Cloud Platforms

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a365-code-validator

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

Infrastructure

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review-staged

Generate structured code review for staged files AND all branch commits since main, using Claude Code agents. Provides full PR-equivalent coverage before pushing.

AI Agents

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review-pr

Generate structured PR review comments using Claude Code agents and post them to GitHub. No API key required - uses Claude Code's existing authentication.

Testing

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agent-lightning

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.

AI Agents

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release

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.

AI Agents

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agt-policy-authoring

Create and validate a minimal AGT Copilot CLI policy tailored to the repository being inspected.

AI Agents

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foundry-hosted-agent-validation

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.

AI Agents

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foundry-config-setup

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.

Cloud Platforms

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python-testing

Guidelines for writing and running tests in the Agent Framework Python codebase. Use this when creating, modifying, or running tests.

Testing

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python-package-management

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.

Backend

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python-feature-lifecycle

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.

Backend

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python-development

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.

Backend

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python-code-quality

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.

Backend

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agent-framework-py-release

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.

AI Agents

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verify-samples-tool

How to use the verify-samples tool to run, verify, and manage sample definitions in the Agent Framework repository. Use this when adding, updating, or running sample verification.

Testing

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verify-dotnet-samples

How to build, run and verify the .NET sample projects in the Agent Framework repository. Use this when a user wants to verify that the samples still function as expected.

Testing

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pull-requests

Guidance for creating pull requests and handling PR review comments in the Agent Framework repository. Use this when writing a PR description (filling out the PR template) or when responding to and resolving review comments on an existing PR.

AI Agents

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project-structure

Explains the project structure of the agent-framework .NET solution

AI Agents

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build-and-test

How to build and test .NET projects in the Agent Framework repository. Use this when verifying or testing changes.

Testing

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pull-requests

Guidance for creating pull requests and handling PR review comments in the Agent Framework repository. Use this when writing a PR description (filling out the PR template) or when responding to and resolving review comments on an existing PR.

AI Agents

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outlook-pre-onboarding-checklist-meeting

Create a 1-hour Outlook follow-up meeting for pre-onboarding after a successful Docusign workflow trigger, using the employee name and agreement effective date from workflow context.

People

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