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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.

Monolith Decomposition Roadmap

decomposition-planning-roadmap

tech-leads-club/agent-skills

Creates step-by-step decomposition plans and migration roadmaps to guide the transition from monolithic applications to distributed architectures, prioritizing risk, value, and dependencies while tracking progress through pattern-based phases.

Deel Rube Automation

deel-automation

ComposioHQ/awesome-claude-skills

Automates Deel operations through the Rube MCP-backed Composio toolkit by discovering tools via RUBE_SEARCH_TOOLS, verifying active connections, and invoking RUBE_MULTI_EXECUTE_TOOL workflows while keeping schemas and session reuse in sync.

Automated Deepgram CI/CD Testing

deepgram-ci-integration

jeremylongshore/claude-code-plugins-plus-skills

This comprehensive guide sets up a robust CI/CD pipeline for Deepgram integrations using GitHub Actions. It covers unit tests (mocked SDK), full integration tests against the live Deepgram API (including transcription, diarization, and TTS), and smoke tests. Use this when establishing automated testing, ensuring deployment stability, or implementing continuous delivery workflows for Deepgram-powered applications.

Deepgram API Error and Debugging Guide

deepgram-common-errors

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide for diagnosing and fixing common Deepgram API errors. Covers HTTP error codes, WebSocket issues, optimal audio preparation using ffmpeg, and implementing robust retry patterns for reliable Speech-to-Text integration.

Deepgram Debugging and Support Bundle

deepgram-debug-bundle

jeremylongshore/claude-code-plugins-plus-skills

Collects comprehensive, sanitized debug evidence for Deepgram support and troubleshooting. This bundle gathers detailed system environment information (Node.js, Python), performs live API connectivity tests, analyzes audio file metadata using ffprobe, and logs request/response data. Essential for preparing detailed support tickets and reproducing bugs related to Deepgram integration.

Deepgram Production Deployment Guide

deepgram-deploy-integration

jeremylongshore/claude-code-plugins-plus-skills

Provides comprehensive instructions for deploying Deepgram transcription services into various production environments. This guide covers building production-ready Docker images, configuring Docker Compose, setting up robust Kubernetes manifests (including HPA and secrets), and implementing serverless handlers for platforms like AWS Lambda. Essential for scaling Deepgram services reliably and securely in the cloud.

Deepgram Enterprise Role-Based Access Control

deepgram-enterprise-rbac

jeremylongshore/claude-code-plugins-plus-skills

Implements robust Role-Based Access Control (RBAC) for enterprise Deepgram deployments. This skill demonstrates how to map various application roles (Admin, Developer, Analyst, etc.) to specific Deepgram API key scopes. It covers creating scoped keys, managing key lifecycles, and implementing middleware to enforce permissions, ensuring secure, auditable, and granular access control for team-based applications.

Deepgram Transcription Quick Start Guide

deepgram-hello-world

jeremylongshore/claude-code-plugins-plus-skills

This guide provides minimal working examples for Deepgram speech-to-text transcription. It demonstrates how to transcribe audio from a URL or a local file using both TypeScript and Python. Users can learn basic API patterns, implement advanced features like diarization (speaker identification), and compare various model options (e.g., nova-3, nova-2). Ideal for initial integration and testing.

Deepgram Local Development Workflow Setup

deepgram-local-dev-loop

jeremylongshore/claude-code-plugins-plus-skills

This guide establishes a robust local development environment for Deepgram integrations. It covers setting up test fixtures using sample audio, mocking API responses for isolated unit testing, configuring watch-mode development servers, and running comprehensive unit and integration tests using Vitest. Use this setup when initiating a Deepgram feature or requiring a reliable, fast development cycle.

Deepgram Transcription Migration Guide

deepgram-migration-deep-dive

jeremylongshore/claude-code-plugins-plus-skills

This guide offers a comprehensive deep dive into migrating existing voice transcription workflows from multiple major providers, including AWS Transcribe, Google Cloud STT, OpenAI Whisper, and others, to Deepgram. It details feature mapping, best practices, and implements an adapter pattern, enabling seamless, reliable, and validated service switching.

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