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Multi-Agent System Design & Evaluation

alirezarezvani/claude-skills

A comprehensive tool for designing, generating schemas, and evaluating complex multi-agent systems. It guides users through defining system requirements, selecting optimal orchestration patterns (Supervisor, Swarm, Pipeline), generating provider-ready tool schemas (Anthropic/OpenAI), and analyzing execution logs for performance bottlenecks, cost, and latency. This ensures robust, production-grade autonomous workflows.

Log Performance Analyzer

jeremylongshore/claude-code-plugins-plus-skills

Analyzes application logs to spot slow requests, recurring errors, and resource warnings, helping troubleshoot performance issues and inform structured logging or monitoring improvements.

Log Performance Analyzer

jeremylongshore/claude-code-plugins-plus-skills

Analyzes application logs to spot slow requests, recurring errors, and resource warnings, helping troubleshoot performance issues and inform structured logging or monitoring improvements.

Apify Automation Toolkit

apify-automation

ComposioHQ/awesome-claude-skills

Automate Apify web scraping Actors inside Claude Code to run crawlers synchronously or asynchronously, manage datasets, inspect logs, create reusable tasks, and pull structured results without leaving your workflow.

AWS Compliance and Security Auditing Checker

aws-compliance-checker

sickn33/antigravity-awesome-skills

This skill automates the validation of AWS environments against critical industry compliance benchmarks. It performs detailed checks for CIS AWS Foundations, PCI-DSS, HIPAA, and SOC 2 standards, covering key areas like Identity and Access Management (IAM), logging, data protection, and network security. Essential for preparing for regulatory audits and maintaining continuous secure operations.

AWS Security Audit and Compliance Checks

aws-security-audit

sickn33/antigravity-awesome-skills

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.

Azure Monitor Log Ingestion Java Client

azure-monitor-ingestion-java

sickn33/antigravity-awesome-skills

A comprehensive Java SDK client for securely and efficiently sending custom application logs to Azure Monitor. It utilizes Data Collection Rules (DCR) and Data Collection Endpoints (DCE) to manage the ingestion process. The client supports batch uploads, concurrent processing, and robust error handling, making it ideal for integrating custom logging into Azure Log Analytics workspaces.

Azure Monitor Log Ingestion Python SDK

azure-monitor-ingestion-py

sickn33/antigravity-awesome-skills

This SDK provides a dedicated Python interface for securely sending custom logs to Azure Monitor Log Analytics workspace. It utilizes the Logs Ingestion API, supporting features like batch compression, advanced error handling, asynchronous uploads, and compatibility with various authentication models, including sovereign clouds.

OpenTelemetry Exporter to Azure Monitor

azure-monitor-opentelemetry-exporter-java

sickn33/antigravity-awesome-skills

A Java exporter that facilitates sending OpenTelemetry telemetry data—including traces, metrics, and logs—from Java applications directly to Azure Monitor or Application Insights. It is crucial for achieving centralized, comprehensive observability into enterprise applications.

Azure OpenTelemetry Exporter for Azure Monitor

azure-monitor-opentelemetry-exporter-py

sickn33/antigravity-awesome-skills

This library serves as a low-level exporter for Python applications, enabling the reliable transfer of comprehensive OpenTelemetry telemetry data—including traces, metrics, and logs—to Azure Application Insights. It provides robust configuration options, including connection string setup, Azure AD authentication, custom sampling, and offline storage management, ensuring complete and reliable observability.

Azure OpenTelemetry Monitoring for Python

azure-monitor-opentelemetry-py

sickn33/antigravity-awesome-skills

This library provides a straightforward, one-line setup for integrating Python applications with Azure Application Insights. It leverages OpenTelemetry for automatic instrumentation across popular frameworks (Flask, Django, FastAPI) and various libraries, enabling comprehensive monitoring of traces, metrics, and logs in a single setup.

Azure Monitor OpenTelemetry Node.js SDK

azure-monitor-opentelemetry-ts

sickn33/antigravity-awesome-skills

This SDK provides comprehensive support for automatically instrumenting Node.js applications to collect observability data. It integrates distributed tracing, metrics, and logs using the OpenTelemetry standard, allowing seamless data export and monitoring within Azure Monitor. It supports various resource types and connection methods.

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