1,370 published Skills
1370 Skills · 102 repositories
AI Agents
agt-policy-authoring
Create and validate a minimal AGT Copilot CLI policy tailored to the repository being inspected.
Microsoft
@microsoftOpen source projects and samples from Microsoft
Open source projects and samples from Microsoft
Redmond, WA
microsoft.com
microsoft.com1,370 published Skills
Curated from public sources. This profile has not been claimed.
GitHub sources1370 Skills · 102 repositories
102 sources1370 standalone skills1370 published skills
AI Agents
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.
Cloud Platforms
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.
Testing
python-testing
Guidelines for writing and running tests in the Agent Framework Python codebase. Use this when creating, modifying, or running tests.
Backend
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
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
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
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.
AI Agents
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.
Testing
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
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.
AI Agents
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
project-structure
Explains the project structure of the agent-framework .NET solution
Testing
build-and-test
How to build and test .NET projects in the Agent Framework repository. Use this when verifying or testing changes.
AI Agents
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.
People
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
device-guidance-v1-0-4
Helps employees identify available device options based on their needs, using the `Get Employee Assets` tool.
Developer Tools
troubleshooting-procedure
Call this when a user states an IT issue and requests troubleshooting help. It provides step-by-step procedure for diagnosing and resolving IT issues, including escalation with a ticket summary.
People
device-guidance-v1-0-3
Helps employees identify available device options based on their needs, using the `Get Employee Assets` tool.
People
device-guidance-v1-0-2
Helps employees identify available device options based on their needs, using the `Get Employee Assets` tool.
People
device-guidance-v1-0-1
Helps employees identify available device options based on their needs, using the `Get Employee Assets` tool.
AI Agents
create-mission-spec
Turn a mission or lab idea into a fully researched GitHub issue spec on microsoft/agent-academy, then post it with the GitHub CLI. Use this skill whenever the user wants to propose new Agent Academy content before writing it — course missions (Recruit, Operative, Commander), standalone Special Ops, or Cowork Collective missions. Trigger whenever the user says "write a spec for a mission", "create an issue for a new lab", "I want to propose a Special Ops", "file a mission proposal", "spec out a lab", "open an issue for a new module", or hands over Microsoft Learn URLs and asks to turn them into
AI Agents
agent-academy-stargazers
Look up who has starred the microsoft/agent-academy repository on GitHub. Use this skill whenever the user wants to check stargazers, see if a specific GitHub user has starred the repo, or retrieve an up-to-date list of stargazers. Trigger whenever the user says "who starred agent academy", "check stargazers", "has <user> starred the repo", or asks anything about the repository's stargazer list. This skill uses the GitHub CLI to fetch stargazers via the GitHub API and saves the results to a local JSON file. It will install prerequisites if needed.
AI Agents
agent-academy-report
Generate a full Agent Academy feedback report — extracting feedback from Excel files and GitHub issues, analyzing sentiment, generating charts, and producing a single styled PDF with a cover page, management summary, and detailed analysis. Use this skill when the user asks to generate an Agent Academy report, create a feedback analysis, build a course completion report, or wants to analyze Agent Academy survey data. Also triggers when the user mentions Agent Academy feedback, course grades, sentiment analysis of Agent Academy data, or exporting Agent Academy results to PDF.