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Run2 stock data wrangling

Skill cxcscmu/SkillLearnBench/skills/b2-self-feedback-gemini-3-flash-preview/stock-data-visualization/run2_stock-data-wrangling

Robust data cleaning and formatting for financial datasets in D3.js.From its SKILL.md

Install
npx -y skills add cxcscmu/SkillLearnBench --skill run2_stock-data-wrangling

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

1.2 KB, 287 tokens by cl100k_base, as published. Nobody here has run it

Stock Data Wrangling

Ensuring data consistency between individual files and the summary CSV.

Robust ETF Detection

ETFs often have missing sector and marketCap. Explicitly label them to apply specific logic (uniform sizing, no tooltip).

const processed = rawData.map(d => {
    const marketCap = d.marketCap ? parseFloat(d.marketCap) : null;
    const isETF = isNaN(marketCap) || !marketCap || d.sector === "" || d.sector === "ETF";
    return {
        ...d,
        marketCap,
        isETF,
        sector: isETF ? "ETF" : d.sector
    };
});

Precise Market Cap Formatting

Formatting numbers to "1.64T" or "150B" using fixed precision.

function formatCurrency(val) {
    if (!val) return "N/A";
    const trillion = 1e12;
    const billion = 1e9;
    const million = 1e6;
    
    if (val >= trillion) return (val / trillion).toFixed(2) + "T";
    if (val >= billion) return (val / billion).toFixed(2) + "B";
    if (val >= million) return (val / million).toFixed(2) + "M";
    return val.toLocaleString();
}

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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