Python: Support Agent Skills (#4210)

* Python: Support Agent Skills Add FileAgentSkillsProvider, a context provider that discovers and exposes Agent Skills from filesystem directories following the Agent Skills specification (https://agentskills.io/) progressive disclosure pattern: advertise, load, read resources. Changes: - FileAgentSkillsProvider - discovers SKILL.md files from configured directories, advertises skills via system prompt injection, and provides load_skill / read_skill_resource tools for on-demand access. - Internal helpers for skill discovery, frontmatter parsing, and secure resource reading (path traversal / symlink guards). - Unit tests covering discovery, loading, resource reading, and security scenarios. - Sample (basic_file_skills) demonstrating usage with an expense-report skill. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Move skills sample to samples/02-agents/basic_skills/ Align sample directory name with .NET equivalent (Agent_Step01_BasicSkills). Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix code quality checks * address pr review comment and code quality check issue * address pr review comments * move the sample to the skills folder * update readme * reame consts and use types for them * leverage pathlib for working with files * refactor the test * supply schema to functions * update readme * update sample name * address pr review comments * fix failing lint check * address failing check --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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+# Agent Skills Sample
+
+This sample demonstrates how to use **Agent Skills** with a `FileAgentSkillsProvider` in the Microsoft Agent Framework.
+
+## What are Agent Skills?
+
+Agent Skills are modular packages of instructions and resources that enable AI agents to perform specialized tasks. They follow the [Agent Skills specification](https://agentskills.io/) and implement the progressive disclosure pattern:
+
+1. **Advertise**: Skills are advertised with name + description (~100 tokens per skill)
+2. **Load**: Full instructions are loaded on-demand via `load_skill` tool
+3. **Resources**: References and other files loaded via `read_skill_resource` tool
+
+## Skills Included
+
+### expense-report
+Policy-based expense filing with spending limits, receipt requirements, and approval workflows.
+- `references/POLICY_FAQ.md` — Detailed expense policy Q&A
+- `assets/expense-report-template.md` — Submission template
+
+## Project Structure
+
+```
+basic_skills/
+├── basic_file_skills.py
+├── README.md
+└── skills/
+    └── expense-report/
+        ├── SKILL.md
+        ├── references/
+        │   └── POLICY_FAQ.md
+        └── assets/
+            └── expense-report-template.md
+```
+
+## Running the Sample
+
+### Prerequisites
+- An [Azure AI Foundry](https://ai.azure.com/) project with a deployed model (e.g. `gpt-4o-mini`)
+
+### Environment Variables
+
+Set the required environment variables in a `.env` file (see `python/.env.example`):
+
+- `AZURE_AI_PROJECT_ENDPOINT`: Your Azure AI Foundry project endpoint
+- `AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME`: The name of your model deployment (defaults to `gpt-4o-mini`)
+
+### Authentication
+
+This sample uses `AzureCliCredential` for authentication. Run `az login` in your terminal before running the sample.
+
+### Run
+
+```bash
+cd python
+uv run samples/02-agents/skills/basic_skills/basic_file_skills.py
+```
+
+### Examples
+
+The sample runs two examples:
+
+1. **Expense policy FAQ** — Asks about tip reimbursement; the agent loads the expense-report skill and reads the FAQ resource
+2. **Filing an expense report** — Multi-turn conversation to draft an expense report using the template asset
+
+## Learn More
+
+- [Agent Skills Specification](https://agentskills.io/)
+- [Microsoft Agent Framework Documentation](../../../../../docs/)