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Advanced Pandas Data Manipulation Expert

Jeffallan/claude-skills

An expert guide for performing complex data analysis, cleaning, and transformation using pandas DataFrames. This skill covers advanced techniques such as vectorized operations, efficient merging, time series resampling, group-by aggregations, and memory optimization, ensuring production-grade code and robust data validation.

Excel Modeling Workflow

ComposioHQ/awesome-claude-skills

Guidance for creating, editing, and analyzing .xlsx workbooks while preserving formulas, formatting, and assumptions, leveraging pandas/openpyxl for data work and LibreOffice recalc to ensure error-free financial models.

Scaling Pandas with Dask

K-Dense-AI/claude-scientific-skills

Dask is a Python library that scales pandas/NumPy workflows beyond RAM by parallelizing DataFrames, Arrays, Bags, and custom tasks across cores or clusters for ETL, log analysis, and distributed ML.

Data Commons Client

datacommons-client

K-Dense-AI/claude-scientific-skills

Provides a Python client for querying the Data Commons knowledge graph so teams can resolve entities, fetch statistical observations, and explore public demographic, economic, and health datasets with optional Pandas support.

GeoPandas Spatial Toolkit

K-Dense-AI/claude-scientific-skills

GeoPandas extends pandas for geospatial vector data, enabling reading/writing shapefiles, GeoJSON, GeoPackage and PostGIS, performing CRS management, spatial joins, overlays, buffering, area/distance calculations, and producing static or interactive choropleth maps.

Polars Fast DataFrame

K-Dense-AI/claude-scientific-skills

Polars is a blazing fast in-memory DataFrame library based on Apache Arrow that replaces pandas for 1-100GB workloads, offering expression-based lazy execution, parallel operators, and rich I/O for ETL pipelines.

PyDESeq2 Differential Analysis

K-Dense-AI/claude-scientific-skills

PyDESeq2 brings the DESeq2 differential expression workflow to Python, letting users load bulk RNA-seq counts, specify design formulas, fit DESeq2 models, run Wald tests with FDR correction, optionally apply apeGLM shrinkage, and export gene-level statistics within pandas/AnnData pipelines.

Contract Proposal Writer

contract-and-proposal-writer

alirezarezvani/claude-skills

Generate professional contracts, proposals, NDAs, MSAs, and SOWs tailored to US/EU/UK/DACH rules, outputting structured Markdown with DOCX conversion guidance for rapid client engagements and protect IP/confidentiality.

Pandas Data Toolkit

sickn33/antigravity-awesome-skills

Pandas is a Python data analysis library that simplifies loading, cleaning, transforming, and analyzing structured datasets, making it ideal for data wrangling in analytics or engineering workflows.

API Gateway Threat Detection

analyzing-api-gateway-access-logs

mukul975/Anthropic-Cybersecurity-Skills

Parses AWS/Kong/Nginx API Gateway logs with pandas to spot BOLA/IDOR attempts, rate-limit evasion, credential scans, injection probes, and unusual methods, aiding SOC analysts investigating abuse or tuning detection rules.

Insider DLP Exfiltration Detection

detecting-insider-data-exfiltration-via-dlp

mukul975/Anthropic-Cybersecurity-Skills

Analyzes endpoint and cloud logs with pandas baselines and DLP policy violation context to expose insider exfiltration signs such as anomalous uploads, off-hours access, and device spikes during threat investigations.

Shadow IT Cloud Detection

detecting-shadow-it-cloud-usage

mukul975/Anthropic-Cybersecurity-Skills

Detect unauthorized SaaS and cloud service usage by analyzing proxy, DNS, and netflow logs with Python pandas to classify domains, measure usage metrics, and flag high-risk services for SOC analysts.

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