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Azure Monitor Query SDK for Python

azure-monitor-query-py

sickn33/antigravity-awesome-skills

A comprehensive Python SDK for interacting with Azure Monitor services. It enables developers to execute complex Kusto Query Language (KQL) queries against Log Analytics workspaces and retrieve various resource metrics (CPU usage, network traffic, etc.). Ideal for building robust monitoring dashboards, automated alerting systems, and custom data analysis pipelines in cloud environments.

Generate C4 Architecture Documentation Workflow

c4-architecture-c4-architecture

sickn33/antigravity-awesome-skills

This comprehensive workflow automates the creation of C4 architectural documentation for any codebase. It utilizes a bottom-up analysis approach, starting by analyzing code details (Code Level), synthesizing them into logical components, mapping containers, and finally establishing the high-level system context. Ideal for documenting complex, existing systems and ensuring comprehensive technical knowledge transfer.

Systematic CAPA Management For QMS

alirezarezvani/claude-skills

A comprehensive guide for Corrective and Preventive Action (CAPA) management within Quality Management Systems (QMS), specifically tailored for medical devices. It covers the entire investigation lifecycle, including root cause analysis (RCA) using methodologies like 5-Why and Fishbone diagrams, developing robust corrective actions, and verifying effectiveness to ensure continuous compliance and quality improvement.

Assembly Pattern Guide for Binary Analysis

binary-analysis-patterns

sickn33/antigravity-awesome-skills

A comprehensive technical guide detailing essential patterns and techniques for analyzing compiled binaries. It covers foundational assembly concepts across x86-64, ARM architectures, and provides structured examples for function prologues, calling conventions, control flow (loops, branches), data structure access, and common arithmetic/string operations. Essential for reverse engineering and low-level systems programming.

Systematic Debugging Strategies

debugging-strategies

sickn33/antigravity-awesome-skills

This skill provides a structured methodology for tackling complex bugs, performance bottlenecks, and production incidents. It guides users through reproducing issues, forming hypotheses, performing controlled experiments, and narrowing down the scope using proven strategies and tools. Ideal for deep dive troubleshooting and root cause analysis in complex software systems.

AI-Assisted Debugging and Root Cause Analysis

debugging-toolkit-smart-debug

sickn33/antigravity-awesome-skills

A comprehensive, expert-level workflow for debugging complex software issues in production environments. This skill guides users through initial triage, advanced observability data collection (APM, distributed traces, logs), intelligent hypothesis generation, and full root cause analysis. Use it when dealing with intermittent failures, performance bottlenecks, or needing a complete fix and prevention plan.

Systematic Debugging And Root Cause Analysis

debugging-wizard

Jeffallan/claude-skills

This expert guide provides a systematic, structured methodology for debugging complex software issues. It teaches users how to analyze stack traces, correlate logs, establish consistent reproduction steps, and apply hypothesis-driven testing to isolate and resolve bugs, crashes, or unexpected behavior in any codebase. Essential for professional troubleshooting and quality assurance.

Deepgram Observability Stack Setup

deepgram-observability

jeremylongshore/claude-code-plugins-plus-skills

Implements a comprehensive observability stack for Deepgram integrations. It utilizes Prometheus metrics for tracking request rates, latency, and costs, OpenTelemetry for distributed tracing, Pino for structured logging, and AlertManager rules for proactive alerting. Essential for production monitoring, dashboard setup, and performance analysis of Deepgram API usage.

Documenso SDK Production Patterns

documenso-sdk-patterns

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive set of production-ready design patterns for integrating with the Documenso SDK. It covers best practices for managing singleton clients, building typed service wrappers, robust API error handling (including status code analysis), and automatically implementing retry logic with exponential backoff. Ideal for establishing stable, scalable, and maintainable coding standards in TypeScript and Python.

Expert Error Analysis And Debugging

error-debugging-error-analysis

sickn33/antigravity-awesome-skills

This skill provides expert capabilities for diagnosing and resolving complex system failures in distributed environments. It is designed for investigating production incidents, performing deep root-cause analysis using observability tools (logging, tracing), and proposing robust, preventive fixes. Use it to significantly enhance system stability and reliability.

Error Log Analysis and Root Cause Detection

error-detective

sickn33/antigravity-awesome-skills

This skill is designed for advanced error detective work. It analyzes complex log streams, correlates stack traces across distributed systems, and detects anomalous error patterns. It helps identify root causes by correlating errors with system deployments and changes, providing actionable findings for immediate fixes and long-term prevention strategies.

Distributed System Error Analysis Expert

error-diagnostics-error-analysis

sickn33/antigravity-awesome-skills

This skill provides expert-level diagnostic capabilities for complex distributed systems. It specializes in analyzing production incidents, identifying deep root causes, and designing comprehensive observability solutions. Use this when investigating recurring errors, reviewing system logs/traces, and implementing preventative reliability measures.

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