debugging-strategies
Language-agnostic debugging framework: scientific method, stack trace analysis, logging strategies, and advanced techniques like Git bisect and rubber ducking.
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139 skills found
Language-agnostic debugging framework: scientific method, stack trace analysis, logging strategies, and advanced techniques like Git bisect and rubber ducking.
Optimizes Prisma Client connection pool settings for production databases, serverless environments, and high-concurrency architectures to prevent connection exhaustion and performance bottlenecks.
Generate scaffolding for custom Minecraft Bedrock packet analyzers. Includes template code, registration guides, and packet capture workflows.
Diagnose dotCMS CI/CD GitHub Actions failures, including PR builds, merge queue issues, and nightly test reports.
Execute implementation plans in small, verifiable batches with pause-for-feedback checkpoints to prevent drift and ensure code quality.
Evidence-based debugging for Python, Node.js, and Java applications using runtime execution traces and diagnostic MCP tools.
Open-source infrastructure for reliable, multi-destination event delivery. Route webhooks to HTTP, SQS, RabbitMQ, Pub/Sub, EventBridge, or Kafka with built-in retries and observability.
Build production-grade AI agents using LangGraph, Anthropic/OpenAI/vLLM, and structured outputs. Features streaming, A2A protocol, Pydantic validation, vector memory, and guardrails for resilient, multi-agent workflows.
Manage database orchestration sessions, state snapshots, and system-level operations for the BAZINGA-DB core engine.
Project bootstrap for Claude Code with safety guardrails, git workflow automation, project auditing, and structured multi-phase planning.
Master Rust async programming with Tokio, including tasks, channels, streams, error handling, and production-grade concurrency patterns.
Mirror Android devices to macOS using scrcpy with integrated logcat monitoring. Perfect for developers needing real-time visual feedback and application log analysis.