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Trend Analysis From Last 30 Days

mvanhorn/last30days-skill

This powerful tool conducts deep, multi-source research on any given topic, aggregating public discussions, posts, and engagement data from major online platforms like Reddit, X, YouTube, TikTok, Hacker News, and GitHub. It provides a comprehensive, historical view of current trends and public sentiment over the last 30 days.

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.

Cancer Imaging Data Access

imaging-data-commons

K-Dense-AI/claude-scientific-skills

Query and download the NCI Imaging Data Commons public cancer imaging datasets via idc-index, filter by metadata, fetch DICOM files, visualize series, and respect licensing details for AI training or research.

Systematic Literature Review

literature-review

K-Dense-AI/claude-scientific-skills

Conduct rigorous, multi-database literature reviews with systematic workflows, verified citations in styles like APA or Nature, and AI-enhanced schematics for publication-ready markdown and PDF outputs in biomedical and technical domains.

PubMed Database Access

pubmed-database

K-Dense-AI/claude-scientific-skills

Direct REST/API access to PubMed for constructing complex Boolean or MeSH queries, filtering by publication attributes, and automating literature retrieval or citation management via NCBI’s E-utilities.

Scanpy Single-Cell Workflow

K-Dense-AI/claude-scientific-skills

Scanpy is a scalable Python toolkit for single-cell RNA-seq analyses, covering QC, normalization, dimensionality reduction, clustering, marker discovery, annotation, and publication-ready visualization across h5ad/10X/CSV datasets.

Scientific Visualization Toolkit

scientific-visualization

K-Dense-AI/claude-scientific-skills

Transforms data into publication-ready figures with multi-panel layouts, precise annotations, colorblind-friendly palettes, and journal formatting using matplotlib, seaborn, and plotly plus export helpers for PDF/EPS/TIFF.

Seaborn Statistical Visualization Library

K-Dense-AI/claude-scientific-skills

Seaborn is a powerful Python library for creating publication-quality statistical graphics. It is designed for dataset-oriented plotting, making it ideal for exploratory data analysis, multivariate analysis, and visualizing complex relationships, distributions, and comparisons with minimal code. It builds upon Matplotlib, offering high-level interfaces for functions like scatterplots, heatmaps, and pair plots.

Institutional Stock Research Analysis

xvary-stock-research

sickn33/antigravity-awesome-skills

This skill provides institutional-depth equity analysis by combining public SEC EDGAR filings and real-time market data. It can generate structured, verdict-style memos, score stocks across four key pillars (Momentum, Stability, Financial Health, Upside), and perform side-by-side comparisons of two tickers, enabling data-driven investment decision support without requiring proprietary terminal access.

Generating Publication-Quality ML Figures

academic-plotting

Orchestra-Research/AI-Research-SKILLs

A comprehensive tool for generating publication-quality figures essential for Machine Learning and AI academic papers. It supports two distinct workflows: generating complex system architecture and workflow diagrams using AI (Gemini), and creating precise, data-driven visualizations (line charts, heatmaps, etc.) using standard libraries like matplotlib and seaborn. Use it when preparing any figure for a conference submission.

Semantic Scholar Academic Paper Search

semantic-scholar

wanshuiyin/Auto-claude-code-research-in-sleep

A powerful tool for searching published, peer-reviewed academic literature from major venues like IEEE, ACM, and Springer. Unlike preprint archives (like ArXiv), this skill provides robust metadata, including citation counts, official publication venue details, and TLDR summaries. Use it when you need verified, finalized research papers and advanced filtering capabilities.

PubMed Data Access

pubmed-database

sickn33/antigravity-awesome-skills

Provides REST API access to PubMed for building advanced Boolean/MeSH queries, filtering by publication details, and programmatically fetching citations through E-utilities, making it ideal for systematic reviews and automated literature workflows.

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