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Apollo API Observability Implementation

apollo-observability

jeremylongshore/claude-code-plugins-plus-skills

Implement comprehensive observability for Apollo.io API integrations. This skill provides structured instrumentation covering Prometheus metrics (request count, latency, rate limits, credits used), structured logging with PII redaction, and OpenTelemetry tracing. It ensures reliable tracking of API health, performance, and resource consumption.

Apollo API Security Best Practices Guide

apollo-security-basics

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide covering security best practices for integrating with the Apollo.io API. This includes secure key storage (using secret managers/env vars), implementing PII redaction for logging, adhering to the principle of least privilege (using standard vs. master keys), and performing key rotation procedures. Essential for building secure and compliant integrations.

Aria Attribute Helper

aria-attribute-helper

jeremylongshore/claude-code-plugins-plus-skills

Automates aria attribute helper support for frontend development requests by offering guidance, best practices, production-ready code/configuration, and validation whenever aria attribute helper topics or patterns are mentioned.

Aria Attribute Helper

aria-attribute-helper

jeremylongshore/claude-code-plugins-plus-skills

Automates aria attribute helper support for frontend development requests by offering guidance, best practices, production-ready code/configuration, and validation whenever aria attribute helper topics or patterns are mentioned.

Azure AI Text Analytics Python Client

azure-ai-textanalytics-py

sickn33/antigravity-awesome-skills

A comprehensive Python SDK for accessing Azure AI Language service capabilities. It enables advanced Natural Language Processing (NLP) features, including sentiment analysis, named entity recognition (NER), key phrase extraction, language detection, and sensitive PII detection. Ideal for building sophisticated text analysis applications and data pipelines.

Azure AI Text Analytics Python Client

azure-ai-textanalytics-py

sickn33/antigravity-awesome-skills

A comprehensive Python SDK for accessing Azure AI Language service capabilities. It enables advanced Natural Language Processing (NLP) features, including sentiment analysis, named entity recognition (NER), key phrase extraction, language detection, and sensitive PII detection. Ideal for building sophisticated text analysis applications and data pipelines.

Azure Event Grid .NET SDK Client

azure-eventgrid-dotnet

sickn33/antigravity-awesome-skills

The official Azure Event Grid SDK for .NET. This comprehensive client library enables developers to easily publish, subscribe, and consume events using event-driven architecture patterns. It supports both push delivery (Topics/Domains) and pull delivery (Namespaces), handling standard EventGrid and CloudEvent formats. Ideal for building scalable, reactive microservices on Azure.

Azure Event Grid .NET SDK Client

azure-eventgrid-dotnet

sickn33/antigravity-awesome-skills

The official Azure Event Grid SDK for .NET. This comprehensive client library enables developers to easily publish, subscribe, and consume events using event-driven architecture patterns. It supports both push delivery (Topics/Domains) and pull delivery (Namespaces), handling standard EventGrid and CloudEvent formats. Ideal for building scalable, reactive microservices on Azure.

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.

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