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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218 skills found
Language-agnostic debugging framework: scientific method, stack trace analysis, logging strategies, and advanced techniques like Git bisect and rubber ducking.
Standardized debugging and diagnostic guidelines for AI coding agents.
Guidance and operational tips for identifying, reviewing, and managing pull requests created by the GitHub Copilot coding agent within your repository.
Gemini-powered UI design review, accessibility auditing, and design system validation tool for software agents.
Audit and synchronize the supported LLM model list in assets.py against the authoritative litellm registry.
Verify Everything Search integration (CLI, HTTP, SDK) for inventory_master to ensure connectivity, service health, and provider availability.
Apply effective software quality consultancy practices. Use when consulting on QA strategy, advising development teams, or establishing sustainable quality workflows.
Provides Jest testing patterns and best practices for interpreters, parsers, and async TypeScript code in the Lea language repository.
A comprehensive configuration suite for Claude Code, featuring production-grade agents, skills, hooks, and automated workflows optimized for high-intensity development.
Manage major dependency upgrades through systematic compatibility analysis, staged rollout strategies, and automated testing.
Converts PRDs into structured task beads for autonomous execution with ralph-tui, including quality gates and dependency management.
Diagnose, isolate, and mitigate LLM context failures like lost-in-middle, poisoning, distraction, and context clash to improve agent reliability.