Skill UI

Diagnose failures from reproduction steps, traces, logs, and code; test hypotheses and verify a scoped fix without inventing production evidence. Suitable for evidence-driven debugging of reproducible or intermittent incidents.

Design and implement CI/CD pipelines, Docker configurations, and deployment strategies with production-ready patterns. Covers GitHub Actions, multi-stage builds, and infrastructure automation for reliable software delivery. Includes security best practices and debugging workflows.

Expert DevOps troubleshooter specializing in rapid incident response, advanced debugging, and modern observability. Provides guidance on log analysis, distributed tracing, performance debugging, and system reliability engineering for cloud-native environments.

This skill outlines a systematic, multi-phase workflow for diagnosing hard bugs and performance regressions in complex codebases. It emphasizes the critical necessity of building a tight, deterministic feedback loop (Phase 1) before moving to hypothesis generation. The process guides users through reproducing the failure, minimizing the scope of the issue, and forming actionable, ranked hypotheses.

Set up comprehensive debugging environments, distributed tracing, and diagnostic tools for development and production. Configure tracing, logging standards, and troubleshooting workflows to diagnose multi-service issues efficiently.

This skill covers the full lifecycle of Docker containers, including building optimized images, managing container lifecycles, configuring networking and volumes, and implementing security best practices. It includes troubleshooting container issues, debugging, and deploying applications efficiently in development and production environments using Docker Engine commands and best practices.

This skill covers .NET/C# binary reverse engineering, including managed PE analysis, debugging with dnSpyEx, deobfuscation using de4dot for tools like ConfuserEx, and IL patching. It supports analyzing red-team Sharp* tooling and distinguishing between managed and native binaries.

This skill provides expertise in analyzing DWARF debug files and understanding the DWARF debug format standard versions 3 through 5. It is used for parsing DWARF information from compiled binaries, answering questions about the DWARF standard, writing or reviewing code that interacts with DWARF data, and verifying DWARF data integrity using tools like dwarfdump and llvm-dwarfdump.

This guide provides a comprehensive reference on Agent Skills, a standardized and powerful method for providing structured context, workflows, and tools to Large Language Models (LLMs). It details the anatomy of the SKILL.md file, the three-stage progressive disclosure loading process, and best practices for creating both capability (tool-based) and process (workflow-based) primitives. Use this resource when designing, reviewing, or debugging agent-driven applications to ensure reliable and context-efficient performance.

This skill specializes in debugging distributed systems and analyzing production incidents. It helps identify root causes of errors using observability tools, structured logging, and distributed tracing. You will implement fixes, establish preventive measures, and improve system reliability. Suitable for investigating recurring errors and designing error handling improvements.

This skill guides the implementation of comprehensive error monitoring and observability solutions. It helps in setting up robust error tracking systems, configuring detailed alerts, implementing structured logging, and establishing workflows to ensure teams can quickly detect, group, and resolve production issues efficiently.

This skill enables reviewing defined code diffs from correctness, authorization, and performance perspectives. It supports bounded multi-agent review when authorized, ensuring findings are reproduced centrally. Users must pin repository paths and intended behavior. It does not install orchestration engines but provides a structured procedure for code quality assurance and security validation without overstepping user authority.