Skills real projects publish on GitHub, most starred first. Each one says what it will make an agent do before you copy it.
MicrosoftSkillmicrosoft/agent-framework/.github/skills/pull-requests/SKILL.md
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.
MicrosoftSkillmicrosoft/agent-framework/python/.github/skills/agent-framework-py-release/SKILL.md
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.
MicrosoftSkillmicrosoft/agent-framework/python/.github/skills/python-code-quality/SKILL.md
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.
MicrosoftSkillmicrosoft/agent-framework/python/.github/skills/python-development/SKILL.md
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.
MicrosoftSkillmicrosoft/agent-framework/python/.github/skills/python-feature-lifecycle/SKILL.md
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.
MicrosoftSkillmicrosoft/agent-framework/python/.github/skills/python-package-management/SKILL.md
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.
MicrosoftSkillmicrosoft/agent-framework/python/.github/skills/python-testing/SKILL.md
Guidelines for writing and running tests in the Agent Framework Python codebase. Use this when creating, modifying, or running tests.
MicrosoftSkillmicrosoft/agent-framework/python/samples/02-agents/skills/file_based_skill/skills/unit-converter/SKILL.md
Convert between common units using a multiplication factor. Use when asked to convert miles, kilometers, pounds, or kilograms.
MicrosoftSkillmicrosoft/agent-framework/python/samples/02-agents/skills/skill_filtering/skills/length-converter/SKILL.md
Convert between common length units (miles, km, feet, meters) using a multiplication factor.
MicrosoftSkillmicrosoft/agent-framework/python/samples/02-agents/skills/skill_filtering/skills/volume-converter/SKILL.md
Convert between gallons and liters using a conversion factor.
MicrosoftSkillmicrosoft/agent-framework/python/samples/04-hosting/foundry-hosted-agents/responses/foundry_toolbox_mcp_skills/skills/escalation-policy/SKILL.md
When and how to escalate Contoso Outdoors customer-support tickets.
MicrosoftSkillmicrosoft/agent-framework/python/scripts/sample_validation/skills/foundry-config-setup/SKILL.md
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.
MicrosoftSkillmicrosoft/agent-framework/python/scripts/sample_validation/skills/foundry-hosted-agent-validation/SKILL.md
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.
MicrosoftSkillmicrosoft/playwright-cli/.claude/skills/dev/SKILL.md
Development workflows for the playwright-cli repository. Use when the user asks about rolling dependencies, releasing, or other repo maintenance tasks.
MicrosoftSkillmicrosoft/playwright-cli/skills/playwright-cli/SKILL.md
Automate browser interactions, test web pages and work with Playwright tests.
MicrosoftSkillmicrosoft/language-server-protocol/.github/skills/lsp-node-protocol-consistency/SKILL.md
Keeps the Language Server Protocol specification and the vscode-languageserver-node TypeScript implementation aligned. Use when adding, changing, reviewing, or auditing LSP requests, notifications, capabilities, registration options, wire types, proposed or final status, since tags, meta-model data, or related documentation across microsoft/language-server-protocol and microsoft/vscode-languageserver-node.
MicrosoftSkillmicrosoft/garnet/.github/skills/add-garnet-command/SKILL.md
Adds a new built-in RESP command to Garnet end-to-end. Covers enum registration, parsing, dispatch, RESP handler, API surface, storage session, RMW callbacks, command metadata JSON, ACL tests, and integration tests. Use when asked to "add a command", "implement RI.SET", "add RESP command", or any new server command. Do NOT use for custom extension commands (CustomRawStringFunctions) or object-type sub-operations.
MicrosoftSkillmicrosoft/garnet/.github/skills/pr-finalize/SKILL.md
Finalizes any PR for merge by verifying title/description match implementation AND performing code review for best practices. Use when asked to "finalize PR", "check PR description", "review commit message", before merging any PR, or when PR implementation changed during review. Do NOT use for extracting lessons or investigating build failures.
MicrosoftSkillmicrosoft/promptflow/.github/skills/maf-online-endpoint/SKILL.md
Deploy a Microsoft Agent Framework (MAF) workflow as a managed online endpoint to an Azure ML workspace or an Azure AI Foundry hub-based project. Wraps any workflow into an init()/run() scoring script, creates conda environment, endpoint and deployment YAMLs, deploy script, and assigns RBAC. Supports managed identity auth and Application Insights tracing. WHEN: deploy MAF workflow, deploy agent-framework workflow, create online endpoint for MAF, deploy workflow to AML, deploy workflow to Foundry project, managed online endpoint for agent workflow, wrap workflow in scoring script, deploy agent as endpoint, realtime endpoint in Foundry project.
MicrosoftSkillmicrosoft/promptflow/.github/skills/maf-prs-job/SKILL.md
Convert an existing Prompt Flow Parallel Run Step (PRS) pipeline submission into an Azure ML PRS pipeline that runs a Microsoft Agent Framework (MAF) workflow. Wraps the MAF workflow into a PRS init()/run() entry script, generates the parallel component YAML and conda environment, and rewrites the pipeline submission script. Replaces what `load_component(flow.dag.yaml)` did automatically for Prompt Flow \u2014 produces the hand-built equivalent so that downstream pipeline code (`flow_node = flow_component(...)`, `flow_node.outputs.flow_outputs`, `flow_node.outputs.debug_info`, `flow_node.mini_batch_size`, scheduler, batch endpoint) stays unchanged. WHEN: convert promptflow PRS to MAF PRS, migrate PRS pipeline to agent framework, wrap MAF workflow as parallel component, bulk run MAF workflow, run agent framework as parallel run step, batch run MAF workflow on AML, submit MAF workflow as pipeline component, replace flow.dag.yaml with MAF workflow in pipeline, load_component equivalent for MAF workflow, MAF version of flow_component, load MAF workflow as component, wrap MAF workflow as flow component, MAF flow component, replace flow_node in pipeline with MAF workflow, keep flow_outputs and debug_info ports with MAF, MAF parallel component with connections={}, run MAF workflow as flow_node in AML pipeline, load_component('workflow.py') doesn't work. DO NOT USE FOR: converting the flow itself (use promptflow-to-maf), deploying as online endpoint (use maf-online-endpoint), enabling tracing only (use maf-tracing).
A folder with a SKILL.md file: a name, a description of when to use it, and instructions. Claude loads a skill only when the task matches its description.
Copy the folder into your project's .claude/skills/ directory, or into your own skills folder to use it everywhere.
We read each file for commands that read secrets, delete things or pipe downloads into a shell, and say so before you copy it. No warning is not a promise that a file is safe.
Open a skill to see its discussion. Reports from people and their agents are coming.
