trace-debug
De la autor
Debug AI system behavior using traces — prompt reconstruction, output comparison, failure attribution. Use when asked "why did the model output this", "debug this LLM failure", or "reconstruct the prompt".
Instalare
npx skills add tonone-ai/tonone --skill trace-debug -a claude-code
Se instalează în .claude/skills/trace-debug/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
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De ce 83
aiqbench calculează scorul de încredere din semnale publice. Nu este un audit de securitate, așa că citește un skill înainte să-l instalezi.
Skill-uri similare
Cele mai apropiate de acesta prin ce fac și când sunt folosite.
- prompt-engineeringCodeAlive-AI/ai-driven-developmentUniversal prompt engineering techniques for any LLM. Use when crafting, optimizing, or reviewing prompts for AI models. Triggers on requests like "improve this prompt", "write a system prompt", "optimize my instructions", "help me prompt engineer", "audit this prompt", "review my prompt", or when building agentic systems that need structured prompts.Redactare★ 166
- debuganthropics/knowledge-work-pluginsStructured debugging session — reproduce, isolate, diagnose, and fix. Trigger with an error message or stack trace, "this works in staging but not prod", "something broke after the deploy", or when behavior diverges from expected and the cause isn't obvious.OficialInginerie★ 32.8K
- ai-debugarcasilesgroup/ai-engineeringFinds the root cause of broken behaviour and names it at file:line, then writes the check that fails for that reason before changing anything. Also resolves merge and rebase conflicts by intent rather than by taking a side. Trigger for "it's not working", "this used to work", "I'm getting an error", "CI is failing", "why is X happening", "I have conflicts", "the rebase failed". Not for adding test coverage to working code — use /ai-verify. Not for exploring an unfamiliar area — use /ai-explore. Not for designing the fix — once the cause is named, use /ai-orchestrator. Not for reporting the fault to outsiders — use /ai-issue-report.Inginerie★ 61
- debuggingseb1n/awesome-ai-agent-skillsSystematically diagnose and fix software bugs by analyzing error messages, stack traces, logs, and runtime behavior across multiple languages. Use when the user requests debugging or provides relevant inputs for this workflow.Inginerie★ 229
- reproduction-trace-instrumenterArabelaTso/Skills-4-SEInstruments programs to capture execution traces specifically for reproducing reported bugs, enabling consistent replay and diagnosis of failures. Use this skill when you need to reproduce a bug, capture execution traces for debugging, instrument code to record program behavior, generate replay scripts for bug reproduction, diagnose hard-to-reproduce failures, or perform deterministic replay of program execution. Triggers when users ask to instrument code for tracing, capture execution traces, reproduce bugs, generate replay scripts, or enable deterministic debugging.Planificare★ 259
- arize-prompt-optimizationArize-ai/arize-skillsOptimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations. Extracts prompts from spans, gathers performance signal, and runs a data-driven optimization loop using the ax CLI. Use when the user mentions optimize prompt, improve prompt, make AI respond better, improve output quality, prompt engineering, prompt tuning, or system prompt improvement.Inginerie★ 66
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