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‎.claude/skills/call_foundry_agent/SKILL.md‎

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@@ -11,7 +11,7 @@ Send a prompt to an Azure Foundry Agent and retrieve the response.
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- Required: `prompt` (The input text to send to the agent)
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- Optional:
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- `--agent-id` (The ID of the agent to call. Defaults to `AZURE_AI_AGENT_ID` env var)
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- `--agent-name` (The name of the agent to call. Defaults to `AZURE_AI_AGENT_NAME` env var)
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- `--endpoint` (The Azure AI Project Endpoint. Defaults to `AZURE_AI_PROJECT_ENDPOINT` env var)
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### Example

‎.claude/skills/call_foundry_agent/scripts/call_foundry.py‎

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@@ -2,18 +2,18 @@
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import os
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import sys
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from dotenv import load_dotenv
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from azure.identity import AzureCliCredential
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from azure.ai.agents import AgentsClient
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from azure.identity import DefaultAzureCredential
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from azure.ai.projects import AIProjectClient
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load_dotenv()
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def main():
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parser = argparse.ArgumentParser(description="Call an Azure Foundry Agent.")
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parser.add_argument("prompt", help="The prompt to send to the agent.")
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parser.add_argument(
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"--agent-id",
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default=os.environ.get("AZURE_AI_AGENT_ID"),
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help="The ID of the agent to call. Defaults to AZURE_AI_AGENT_ID environment variable.",
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"--agent-name",
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default=os.environ.get("AZURE_AI_AGENT_NAME"),
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help="The name of the agent to call. Defaults to AZURE_AI_AGENT_NAME environment variable.",
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)
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parser.add_argument(
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"--endpoint",
@@ -27,32 +27,31 @@ def main():
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print("Error: Azure AI Project Endpoint is required. Set AZURE_AI_PROJECT_ENDPOINT env var or use --endpoint.", file=sys.stderr)
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sys.exit(1)
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if not args.agent_id:
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print("Error: Agent ID is required. Set AZURE_AI_AGENT_ID env var or use --agent-id.", file=sys.stderr)
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if not args.agent_name:
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print("Error: Agent Name is required. Set AZURE_AI_AGENT_NAME env var or use --agent-name.", file=sys.stderr)
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sys.exit(1)
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try:
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credential = AzureCliCredential()
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with AgentsClient(endpoint=args.endpoint, credential=credential) as client:
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# Create a thread and run the agent, then wait for completion
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result = client.create_thread_and_process_run(
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agent_id=args.agent_id,
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thread={"messages": [{"role": "user", "content": args.prompt}]},
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)
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if result.status == "failed":
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print(f"Run failed: {result.last_error}", file=sys.stderr)
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sys.exit(1)
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# Get the agent's response
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messages = client.messages.list(thread_id=result.thread_id)
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for message in messages:
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if message.role == "assistant":
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for content in message.content:
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if hasattr(content, "text"):
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print(content.text.value)
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project_client = AIProjectClient(
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endpoint=args.endpoint,
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credential=DefaultAzureCredential(),
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)
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# Get an existing agent
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agent = project_client.agents.get(agent_name=args.agent_name)
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openai_client = project_client.get_openai_client()
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# Reference the agent to get a response
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response = openai_client.responses.create(
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input=[{"role": "user", "content": args.prompt}],
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extra_body={"agent": {"name": agent.name, "type": "agent_reference"}},
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)
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print(response.output_text)
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except Exception as e:
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print(f"An error occurred: {e}", file=sys.stderr)
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print(f"Error: {e}", file=sys.stderr)
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sys.exit(1)
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‎.claude/skills/teams_notification/SKILL.md‎

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@@ -19,5 +19,5 @@ Send a notification card to a Microsoft Teams channel using an Incoming Webhook.
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### Example
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```bash
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python .claude/skills/teams_notification/scripts/send_teams_notification.py --message "Hello **World**!" --title "Test Message"
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.venv/Scripts/python .claude/skills/teams_notification/scripts/send_teams_notification.py --message "Hello **World**!" --title "Test Message"
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```

‎.env.example‎

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@@ -1,4 +1,4 @@
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AZURE_AI_AGENT_ID=""
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AZURE_AI_AGENT_NAME=""
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AZURE_AI_PROJECT_ENDPOINT=""
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TEAMS_WEBHOOK_URL=""

‎.github/workflows/issue_comment_logger.yml‎

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name: Print Issue Comment
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on:
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issue_comment:
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types: [created]
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jobs:
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print_comment:
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runs-on: ubuntu-latest
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permissions:
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issues: write
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pull-requests: write
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steps:
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- name: Print the issue comment
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run: echo "User commented: ${{ github.event.comment.body }}"
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- name: Add 'hello' comment
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env:
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GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
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run: gh issue comment ${{ github.event.issue.number }} --body "hello"

‎github-copilot-features-status/copilot-ide-features.md‎

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| Claude Sonnet 4.5 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
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| Claude Opus 4.5 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
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| Claude Haiku 4.5 | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ |
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| Gemini 2.5 Pro | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ |
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| Gemini 3 Flash | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ |
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| Gemini 3 Pro | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
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| GPT-4.1 | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
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| o4-mini | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ |

‎requirements.txt‎

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@@ -13,4 +13,4 @@ selenium>=4.14.0
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webdriver-manager>=4.0.1
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agent-framework-azure-ai
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azure-identity
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azure-ai-projects
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azure-ai-projects>=2.0.0b1

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