Skill UI

This comprehensive guide details the architecture of memory for intelligent agents. It covers the distinction between short-term context, long-term vector storage, and advanced cognitive models (CoALA framework: semantic, episodic, procedural). Learn how to implement robust memory retrieval mechanisms, select appropriate vector databases (Pinecone, Qdrant, etc.), and utilize embedding models to build truly context-aware, persistent AI applications.

A comprehensive, multi-phase workflow designed for building sophisticated AI systems. This guide covers everything from designing autonomous agents and implementing single-agent logic, to orchestrating complex multi-agent systems and integrating advanced tools and memory mechanisms. Ideal for developers building production-grade AI applications using frameworks like CrewAI and LangGraph.

A comprehensive, multi-phase workflow designed for building sophisticated AI systems. This guide covers everything from designing autonomous agents and implementing single-agent logic, to orchestrating complex multi-agent systems and integrating advanced tools and memory mechanisms. Ideal for developers building production-grade AI applications using frameworks like CrewAI and LangGraph.

This comprehensive skill provides a security posture assessment for AWS environments. It uses AWS CLI commands to audit critical security areas, including IAM policy review, network security groups, data encryption status (EBS, S3, RDS), and logging mechanisms (CloudTrail, VPC Flow Logs). Use this to proactively identify misconfigurations and ensure adherence to security best practices and compliance standards.

This library provides essential common utilities for Azure Communication Services (ACS) development in Java. It handles robust authentication mechanisms, including token credential management (supporting static, proactive refresh, and Azure AD/Entra ID integration), and standardized identification for various communication endpoints. Use it to ensure reliable, secure, and cohesive communication interactions across your applications.

This library provides essential common utilities for Azure Communication Services (ACS) development in Java. It handles robust authentication mechanisms, including token credential management (supporting static, proactive refresh, and Azure AD/Entra ID integration), and standardized identification for various communication endpoints. Use it to ensure reliable, secure, and cohesive communication interactions across your applications.

A comprehensive SDK for Python to interact with Azure Event Grid. It enables developers to build robust, event-driven architectures (EDA) by providing mechanisms to publish standard CloudEvents and Azure-native EventGridEvents. Use it for implementing complex publish/subscribe patterns and integrating services within the Azure cloud ecosystem.

A comprehensive SDK for Python to interact with Azure Event Grid. It enables developers to build robust, event-driven architectures (EDA) by providing mechanisms to publish standard CloudEvents and Azure-native EventGridEvents. Use it for implementing complex publish/subscribe patterns and integrating services within the Azure cloud ecosystem.

The official Azure Identity SDK for Rust, providing robust authentication mechanisms for Azure SDK clients using Microsoft Entra ID. It supports various credential types—including Developer Tools, Managed Identity, Client Secrets, and Azure CLI—allowing developers to securely authenticate applications across diverse environments, from local development to Azure-hosted production services.

An expert developer specializing in secure backend coding practices, vulnerability mitigation, and robust API design. Proficient in preventing common attacks such as SQL injection, XSS, and CSRF. Covers comprehensive areas including input validation, authentication mechanisms (OAuth 2.0, MFA), database security, and implementing necessary security headers (CSP, HSTS) for building secure-by-design applications. Ideal for implementing security fixes or building new, hardened backend services.

Learn how to integrate CodeRabbit as a mandatory Continuous Integration (CI) gate within your GitHub repository. This comprehensive guide demonstrates setting up branch protection rules, creating GitHub Actions workflows, and enforcing CodeRabbit's reviews to ensure high code quality before merging. Includes advanced setup for PR size checks and notification mechanisms.

Implements robust mechanisms for handling API rate limits (e.g., 429 errors) when interacting with services like Customer.io. It utilizes the Token Bucket algorithm for precise throttling and combines it with exponential backoff, jitter, and queue processing (p-queue) to ensure high reliability and prevent API overloads.