investigating-anomalous-results
De la autor
Use when a result is surprising, impossible, contradicts a sanity check, a pipeline fails, a model won't converge, or a replication fails - before adjusting anything
Instalare
npx skills add K-Dense-AI/science-superpowers --skill investigating-anomalous-results -a claude-code
Se instalează în .claude/skills/investigating-anomalous-results/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
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De ce 78
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Skill-uri similare
Cele mai apropiate de acesta prin ce fac și când sunt folosite.
- anomaly-investigationgaasher/Agent-Loop-SkillsUse when the user has a known, already-observed anomaly in their data — a metric spike or drop, an outlier, an unexpected number — and wants its root cause diagnosed, not guessed. Forms a slate of candidate causes, tests each against the data, and eliminates the ones the data refutes, narrowing the live candidates until exactly one survives refutation and passes a positive confirming test. The result is an investigation log with the confirmed root cause and the evidence that ruled out the alternatives. Not for open-ended discovery over a dataset with no specific anomaly in hand (that is data-analysis), and not for checking an external claim against sources (that is claim-verify) — this is reactive diagnosis of one anomaly you already know about.Finanțe★ 177
- investigating-bugsSummerEngine/summerSystematic investigation of any bug, test failure, or unexpected behavior before proposing fixes.Finanțe★ 88
- detecting-data-anomaliesforyourhealth111-pixel/Vibe-SkillsInvestigate outliers, rare events, spikes, and suspicious records in datasets. Use as an explicit anomaly-analysis helper when you want concrete anomaly-detection workflow guidance, not generic data validation or end-to-end ML ownership.Finanțe★ 3.8K
- investigatetobihagemann/turboSystematically investigate bugs, test failures, build errors, performance issues, or unexpected behavior by cycling through characterize-isolate-hypothesize-test steps. Use when the user asks to "investigate this bug", "debug this", "figure out why this fails", "find the root cause", "why is this broken", "troubleshoot this", "diagnose the issue", "what's causing this error", "look into this failure", "why is this test failing", or "track down this bug".Finanțe★ 416
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- debughashgraph-online/awesome-codex-pluginsUse for bugs, unexpected behavior, regressions, or failing tests you did not write.Inginerie★ 1.4K
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