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Integration for Azure Event Grid using Python to publish events and implement event-driven architectures with CloudEvents support.
This skill provides the necessary implementation details and code patterns to use the Azure Event Grid SDK for Python. It enables the agent to help users set up event routing, publish single or batched events, and handle both CloudEvents 1.0 and Azure-native Event Grid schemas.
Use this skill when the user needs to:
azure-eventgrid, azure-identity), authentication using DefaultAzureCredential, and code examples for both synchronous and asynchronous publishing.Compatible with any AI agent capable of writing and executing Python code (e.g., Claude Code, Cursor, Copilot, Codex).
This skill has not been reviewed by our automated audit pipeline yet.
Python Performance Optimization
Profile, analyze, and optimize Python applications for CPU and memory efficiency using profiling tools and performance best practices.
API Security Testing Workflow
Structured workflow for testing REST and GraphQL API security: auth, authorization, rate limiting, input validation and error handling.
Azure AI Projects SDK (TypeScript)
TypeScript SDK and examples for managing Azure AI Projects: agents, connections, deployments, datasets, indexes, and evaluations.
Memory Forensics Playbook
Practical guidance and commands for acquiring, analyzing, and extracting artifacts from memory dumps using tools like Volatility3 and common acquisition methods
Testing Patterns & Utilities
Guidelines and utilities for TDD, factory-based test data, mocking strategies, and testing patterns for React/TypeScript projects.
Skill Optimizer
Diagnose and optimize Agent Skills (SKILL.md) using session transcripts and static analysis to improve triggers, workflows, and token efficiency.
Reverse Engineer
Guided methodology and best practices for binary reverse engineering, covering static and dynamic analysis workflows and common tooling.
Development Environment Setup Guide
Provides a structured, step-by-step framework for installing tools and configuring development environments across multiple OS platforms.
Transformers.js ML Integration
Run state-of-the-art ML models for text, image, and audio directly in JavaScript/Node.js without a separate Python backend.
NGINX Integration
Integrate with NGINX via the Membrane CLI to query, manage, and proxy requests to NGINX for configuration, logs, and runtime operations.
Extract Circuit Netlist Edge Features
Extract structured edge features from a bipartite circuit netlist (NetworkX MultiGraph), normalizing device/net ordering, mapping terminal colors, and detecting
Starlark Dev
Create, debug, and test Kurtosis Starlark packages — write package structure, run dry-runs, and inspect plan execution for reliable orchestration.
Sync Production Database to Development
Run a safe, scripted workflow to download production database dumps and restore them into a development environment (download-only and restore options).
Markdrop
Convert PDFs to structured Markdown or interactive HTML and generate AI-powered descriptions for images and tables using multiple LLM providers.
Sandbox0 Integration
Guidance and templates for integrating Sandbox0 sandboxing into AI agents — CLI/SDK patterns, templates, volumes, network policy, and deployment choices.
FastAPI Project Templates
Creates production-ready FastAPI project scaffolds with async patterns, DI, middleware, and testing best practices for high-performance APIs.
Clerk Vue Patterns
Vue 3 integration patterns for Clerk: composables, router guards, and Pinia auth store integration.