anomaly-investigation

SKILLFlusso di lavorocommunity
v0.0.0gaasherMITAggiornato 3 mesi faFonte →

Use 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

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153Stelle del repo
1Client
1Formati
3 mesi faUltimo aggiornamento
Skill
Autoregaasher
Versione0.0.0
LicenzaMIT
CategoriaFlusso di lavoro
Formatiskill.md
PromptNon pubblicato
Compatibilità
Claude✓ Supportato
Cursor—
Copilot—
ChatGPT—
Gemini—
Descrizione

Use 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 res

Parole chiave
skillclaude

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