pablosalvador10

Reference for using and extending agentkit — YAML-driven agent specification loading and validation. Use when defining agent specs, loading YAML configs, extending AgentSpec with custom fields, or managing multiple agent configurations.

Validates the entire template stack works end-to-end — tests, Docker, infra, health checks. Use after making cross-layer changes, before PRs, or when verifying template integrity.

Reference for using and extending evalkit — evaluation framework with protocol-based evaluators, weighted rubric scoring, quality gates, and coaching moments. Use when creating custom evaluators, configuring rubrics, understanding scoring, or extending the evaluation framework.

Reference for using and extending foundrykit — Azure AI Foundry client, AgentManager, ToolRegistry, and FoundrySettings. Use when working with Azure AI credentials, creating/running agents, registering tools, or extending foundrykit for custom needs.

Validates performance and concurrency behavior of backend endpoints. Use when preparing for production, checking latency under load, or verifying system stability.

Confirms deployability and basic system health after deployment or container start. Use after azd deploy, docker compose up, or any deployment to verify the system is alive.

Reference for using and extending synthetickit — 3-stage synthetic data generation with scenarios, quality gates, and provenance tracking. Use when generating evaluation datasets, defining scenarios, writing custom generators/classifiers, or extending the pipeline.

Reference for using and extending testkit — shared test fakes for Cosmos DB, LLM, Foundry, MCP, SSE, and storage. Use when writing tests, creating custom fakes, understanding assertion helpers, or extending testkit for new infrastructure.

Helps build AI agents using Azure AI Foundry with tool calling capabilities. Use this skill when creating agents, configuring tool definitions, implementing the agent loop, or integrating agents with Azure Functions and MCP servers.

Helps create, debug, and deploy Azure Functions using the Python v2 programming model. Use this skill when working with HTTP triggers, MCP triggers, timer triggers, or any Azure Functions development including local testing with func start and Azurite.

Helps build MCP (Model Context Protocol) servers that expose tools to AI agents like GitHub Copilot. Use this skill when creating MCP tools, configuring MCP clients, debugging MCP connections, or integrating with VS Code Copilot Agent Mode.

Helps create and structure Jupyter notebooks for teaching labs. Use this skill when creating lab notebooks, adding explanations for students, structuring educational content, or writing code cells with proper documentation.

Helps write pytest tests for Python code including Azure Functions, MCP tools, and API endpoints. Use this skill when creating unit tests, integration tests, fixtures, or mocking external services.