AgentSkillify

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90,157 skills indexed with the new KISS metadata standard.

Showing 24 of 90,157Categories: Coding & Debugging, General, Cursor-rules, Communication
General
PromptBeginner5 minmarkdown

X_train

X_test

0
General
PromptBeginner5 minmarkdown

df.dropna(subset=[TARGET_COL]

axis=0

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General
PromptBeginner5 minmarkdown

X

y

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General
PromptBeginner5 minmarkdown

df.replace(DISGUISED_NULLS

np.nan

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General
PromptBeginner5 minmarkdown

DISGUISED_NULLS = [?

N/A

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General
PromptBeginner5 minmarkdown

│ Linear Models (LogReg

LinearReg

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General
PromptBeginner5 minmarkdown

│ Tree-based (XGBoost

LightGBM

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General
PromptBeginner5 minmarkdown

│ SVM

KNN Classifier: │

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General
PromptBeginner5 minmarkdown

│ → Creates: col_was_missing = 1 if NaN

else 0 │

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General
PromptBeginner5 minmarkdown

→ df.dropna(subset=[TARGET_COL]

inplace=True)

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General
PromptBeginner5 minmarkdown

│ → Use max_iter=10

random_state=42 for reproducibility │

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General
PromptBeginner5 minmarkdown

│ │ Signs: Missingness correlates with OTHER columns

│

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General
PromptBeginner5 minmarkdown

**For each flagged column

fill in this analysis card:**

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General
PromptBeginner5 minmarkdown

For **each column** with missing values

evaluate all three branches simultaneously:

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General
PromptBeginner5 minmarkdown

missing_report = missing_report.sort_values('Missing_%'

ascending=False)

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General
PromptBeginner5 minmarkdown

df.replace(DISGUISED_NULLS

np.nan

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General
PromptBeginner5 minmarkdown

DISGUISED_NULLS = [?

N/A

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General
PromptBeginner5 minmarkdown

- e.g.

Price is the target — rows missing it are unusable

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General
PromptBeginner5 minmarkdown

- e.g.

Age cannot be 0 or negative

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General
PromptBeginner5 minmarkdown

- e.g.

CustomerID must be unique and non-null

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General
PromptBeginner5 minmarkdown

MODEL_TYPE = [e.g.

XGBoost / LinearRegression / Neural Network]

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General
PromptBeginner5 minmarkdown

- Watch for: ?

N/A

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General
PromptBeginner5 minmarkdown

- Boolean → binary flags (0/1

True/False)

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General
PromptBeginner5 minmarkdown

TARGET_COL = [e.g.

price]

0