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Product Analytics

analytics-product

sickn33/agentic-awesome-skills

A comprehensive guide to product analytics, covering event tracking, funnels, cohort retention, north star metrics, OKRs, and dashboards. Examples include PostHog implementation and Python code for retention analysis. Ideal for product managers and data analysts seeking data-driven decisions.

API SDK Code Generator

api-sdk-generator

sickn33/agentic-awesome-skills

Generates production-quality client SDK code and API wrapper libraries for any REST API, including typed request/response models, resource classes, error hierarchies, retry logic with backoff, and pagination helpers in Python, TypeScript, Go and more.

Azure AI Hosted Agents

sickn33/agentic-awesome-skills

Provides a Python SDK workflow for creating container-based hosted agents in Azure AI Foundry using ImageBasedHostedAgentDefinition. Covers installation, authentication, agent creation, versioning, resource allocation, and tool configuration.

Appium Mobile Automation Scripts

sickn33/agentic-awesome-skills

Generates production-grade Appium automation scripts for Android and iOS in Java, Python, or JavaScript, supporting local emulators, real devices, and TestMu AI cloud device farms with best-practice locators, waits, and gestures.

Async Python Concurrency Patterns

async-python-patterns

sickn33/agentic-awesome-skills

This skill provides comprehensive guidance on implementing high-performance, non-blocking applications in Python. It utilizes asyncio, async/await, and advanced concurrency patterns to handle I/O-bound workloads efficiently. Ideal for building async web APIs, real-time systems, and concurrent data processing.

Centralized Audit Logging and SIEM

sickn33/agentic-awesome-skills

Implement centralized audit logging for compliance and security monitoring. Configure log retention, tamper-proof storage, and SIEM integration to build audit trails for regulatory requirements like SOC 2 and HIPAA. Includes rsyslog, journald, and Python logging configurations.

AWS CDK Development Expert

aws-cdk-development

sickn33/agentic-awesome-skills

This skill provides expert guidance for building AWS cloud infrastructure using the Cloud Development Kit (CDK) with TypeScript or Python. It covers best practices for resource naming, Lambda function development, and multi-layer validation strategies using tools like cdk-nag. Integrated MCP servers assist with AWS knowledge access and CDK utilities, ensuring secure and compliant infrastructure deployment.

AWS Cloud Penetration Testing

aws-penetration-testing

sickn33/agentic-awesome-skills

This skill provides comprehensive techniques for penetrating AWS cloud environments, covering IAM enumeration, privilege escalation, SSRF attacks, S3 exploitation, and Lambda code extraction. It supports red team operations and security assessments with tools like Pacu and Prowler. Requires AWS CLI and Python knowledge.

AWS Secrets Manager

aws-secrets-manager

sickn33/agentic-awesome-skills

Store, manage, and rotate secrets in AWS Secrets Manager. Supports creating secrets, retrieving values, enabling automatic rotation with Lambda, and integrating with ECS, EKS, and Lambda workloads. Includes CLI commands and Python SDK examples for secure secret handling.

Azure AI Content Safety SDK

azure-ai-contentsafety-py

sickn33/agentic-awesome-skills

Azure AI Content Safety SDK for Python to detect harmful text and images, manage custom blocklists, and classify severity for AI moderation.

Azure AI Content Understanding SDK

azure-ai-contentunderstanding-py

sickn33/agentic-awesome-skills

Python SDK for Azure AI Content Understanding service. Enables multimodal content extraction from documents, images, audio, and video files. Supports prebuilt analyzers for RAG and custom field extraction for automated workflows. Ideal for developers building AI-driven applications.

Azure AI Language Conversations

azure-ai-language-conversations-py

sickn33/agentic-awesome-skills

Implement Conversational Language Understanding with the Azure AI Language Conversations Python SDK. Use ConversationAnalysisClient to analyze conversation intent and entities, build NLP features, and integrate language understanding into applications.

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