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All Skills

Total 54,373 skills, Data Processing has 2785 skills

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Showing 12 of 2785 skills

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Data Processingvasilyu1983/ai-agents-pub...

data-analytics-engineering

Analytics engineering for reliable metrics and BI readiness. Build transformation layers, dimensional models, semantic metrics, data quality tests, and documentation. Use when you need dbt or SQL transformation strategy, metrics definition, or analytics data modeling.

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13
Data Processinganthropics/knowledge-work...

sql-queries

Write correct, performant SQL across all major data warehouse dialects (Snowflake, BigQuery, Databricks, PostgreSQL, etc.). Use when writing queries, optimizing slow SQL, translating between dialects, or building complex analytical queries with CTEs, window functions, or aggregations.

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13
Data Processingpoemswe/co-researcher

quantitative-analysis

You must use this when selecting statistical tests, interpreting effect sizes, or conducting power analysis.

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13
Data Processingtradermonty/claude-tradin...

canslim-screener

Screen US stocks using William O'Neil's CANSLIM growth stock methodology. Use when user requests CANSLIM stock screening, growth stock analysis, momentum stock identification, or wants to find stocks with strong earnings and price momentum following O'Neil's investment system.

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13
13 scripts/Checked
Data Processingomer-metin/skills-for-ant...

derivatives-pricing

Use when pricing options, calculating Greeks, implementing exotic derivatives, or building pricing engines - covers Black-Scholes, binomial trees, Monte Carlo, and QuantLib integrationUse when ", " mentioned.

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13
Data Processingmeleantonio/awesome-econ-...

stata-data-cleaning

Clean and transform messy data in Stata with reproducible workflows

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13
Data Processinggeeksfino/finskills

esg-screener

Screen and analyze stocks through an ESG (Environmental, Social, Governance) lens, evaluating sustainability practices, controversy exposure, and responsible investing criteria. Use when the user asks about ESG investing, sustainable investing, socially responsible investing (SRI), impact investing, green stocks, carbon footprint analysis, governance quality assessment, controversy screening, exclusion lists, or ESG scoring of companies or portfolios.

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13
Data Processinggeeksfino/finskills

small-cap-growth-identifier

Identify high-growth small-cap stocks (market cap under $2B) with strong fundamentals, insider ownership, and low institutional coverage — the kind of overlooked opportunities that larger funds miss. Use when the user asks to find small-cap growth stocks, discover under-the-radar companies, screen for founder-led small caps, identify emerging growth companies, find low-institutional-ownership stocks, or seek multi-bagger candidates with strong fundamentals.

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13
Data Processinggeeksfino/finskills

insider-trading-analyzer

Analyze insider trading patterns to surface companies with significant, meaningful insider buying activity. Use when the user asks to review insider trading activity, find stocks insiders are buying, analyze SEC Form 4 filings, detect insider buying clusters, assess management confidence through insider purchases, or identify bullish insider signals in a sector or industry.

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13
Data Processingpartme-ai/full-stack-skil...

elasticsearch

Provides comprehensive guidance for Elasticsearch including indexing, searching, aggregations, mappings, and cluster management. Use when the user asks about Elasticsearch, needs to implement search functionality, work with Elasticsearch queries, or manage Elasticsearch clusters.

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13
Data Processinghuifer/wellally-health

nutrition-analyzer

Analyze nutrition data, identify nutrition patterns, assess nutritional status, and provide personalized nutrition recommendations. Supports correlation analysis with exercise, sleep, and chronic disease data.

🇨🇳|ChineseTranslated
13
Data Processingopenbio-ai/skills

openbio

OpenBio API for biological data access and computational biology tools. Use when: (1) Querying biological databases (PDB, UniProt, ChEMBL, etc.), (2) Searching scientific literature (PubMed, bioRxiv, arXiv), (3) Running structure prediction (Boltz, Chai, ProteinMPNN), (4) Performing pathway/enrichment analysis, (5) Designing molecular biology experiments (primers, cloning), (6) Analyzing variants and clinical data.

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