Async Python Patterns
Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.
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Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.
Build comprehensive attack trees to visualize threat paths. Use when mapping attack scenarios, identifying defense gaps, or communicating security risks to stakeholders.
Use when an agent, harness, gateway, MCP workflow, or multi-step automation claims completion and the available traces, checkpoints, approvals, tool calls, or deployment records must be judged without trusting self-reported success.
Expert security auditor for AI Skills and Bundles. Performs non-intrusive static analysis to identify malicious patterns, data leaks, system stability risks, and obfuscated payloads across Windows, macOS, Linux/Unix, and Mobile (Android/iOS).
Auri: assistente de voz inteligente (Alexa + modelo Claude configurado e verificado). Visao do produto, persona Vitoria Neural, stack AWS, modelo Free/Pro/Business/Enterprise, roadmap 4 fases, GTM, north star WAC e analise competitiva.
Implement or review authentication and authorization with explicit token, session and resource-access boundaries.
Design patterns for building autonomous coding agents, inspired by [Cline](https://github.com/cline/cline) and [OpenAI Codex](https://github.com/openai/codex).
Guidelines for modern Avalonia UI layout using Zafiro.Avalonia, emphasizing shared styles, generic components, and avoiding XAML redundancy.
Optimal ViewModel and Wizard creation patterns for Avalonia using Zafiro and ReactiveUI.
Mandatory skills, conventions, and behavioral rules for Avalonia UI development using the Zafiro toolkit.
Map audience awareness stages to messaging strategy when planning a campaign, offer, or persuasion sequence.
Automated cleanup of unused AWS resources to reduce costs
Comprehensive AWS cost analysis and optimization recommendations using AWS CLI and Cost Explorer
Provide comprehensive techniques for penetration testing AWS cloud environments. Covers IAM enumeration, privilege escalation, SSRF to metadata endpoint, S3 bucket exploitation, Lambda code extraction, and persistence techniques for red team operations.
First-principles assumption auditor. Classifies each hidden assumption (fact / convention / belief / interest-driven), ranks by fragility × impact, and rebuilds conclusions from verified premises. Bilingual: auto-detects Chinese or English.
Prepare and verify authorized Azure Container Apps deployments with azd. Use for azure.yaml, Bicep, remote builds, managed identity and post-deploy checks.
Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools.
Azure AI Agents Persistent SDK for Java. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools.
Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate/multivariate anomaly detection, time-series analysis, or AI-powered monitoring.
Build content moderation applications using the Azure AI Content Safety SDK for Java.
Azure AI Content Safety SDK for Python. Use for detecting harmful content in text and images with multi-severity classification.
Analyze text and images for harmful content with customizable blocklists.
Azure AI Content Understanding SDK for Python. Use for multimodal content extraction from documents, images, audio, and video.
Azure AI Document Intelligence SDK for .NET. Extract text, tables, and structured data from documents using prebuilt and custom models.
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