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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.

UniProt Database API

uniprot-database

sickn33/antigravity-awesome-skills

Provides direct REST access to UniProt for searching proteins, retrieving sequences/annotations, mapping IDs, and streaming large datasets in workflows that demand precise protein data.

PyTorch Training Recipes

ml-training-recipes

Orchestra-Research/AI-Research-SKILLs

Collection of battle-tested PyTorch training recipes covering architecture selection, optimizers, LR scheduling, precision tips, and debugging to train or fine-tune LLMs, vision, diffusion, and biomedical models with high GPU throughput.

Plotly Interactive Dashboards

sickn33/antigravity-awesome-skills

Plotly enables Python users to build interactive, publication-quality charts with hover, zoom, and embedded dashboards; ideal for exploratory analysis, presentations, or web storytelling across 40+ chart types.

Advanced Data Quality Auditor Tool

data-quality-auditor

alirezarezvani/claude-skills

A comprehensive solution for systematically auditing dataset health. It profiles data distributions, detects missing values (MCAR/MAR/MNAR), identifies outliers using multiple methods (IQR, Z-score), and calculates a Data Quality Score (DQS). It provides actionable remediation plans and supports monitoring setup for live pipelines.

Automated Chart Visualization

chart-visualization

bytedance/deer-flow

Transforms raw input into intelligent visualizations by selecting from 26 chart types, extracting required parameters from reference specs, and running a Node.js generator to return the final chart image URL and payload.

Data Analysis Assistant

bytedance/deer-flow

Analyzes Excel and CSV uploads with DuckDB, inspecting schemas, running SQL, summarizing statistics, and exporting results so users can explore structured data efficiently.

Excel Data Dashboards

officecli-data-dashboard

iOfficeAI/AionUi

Generates a single formula-driven Excel dashboard from CSV/tabular data, complete with KPI cards, charts, sparklines, and conditional formatting so analysts can instantly review metrics and share an executive-ready .xlsx output.

Automate Mixpanel Product Analytics

mixpanel-automation

sickn33/antigravity-awesome-skills

A comprehensive automation toolkit for Mixpanel product analytics, accessible via Rube MCP. Automate key data tasks including event aggregation, detailed segmentation, conversion funnel analysis, user profile management, cohort tracking, and running custom JQL queries. Ideal for data analysts and product managers needing to deeply analyze user behavior patterns.

Automate PostHog Analytics and Feature Management

posthog-automation

sickn33/antigravity-awesome-skills

A powerful toolset for automating core PostHog product analytics tasks via Rube MCP. It enables developers and analysts to capture user events, list and filter event data, manage feature flags (creation, retrieval, listing), and inspect user profiles. Ideal for integrating advanced product tracking and A/B testing workflows directly into development pipelines.

Shuffle JSON Data with Validation

shuffle-json-data

github/awesome-copilot

This skill safely randomizes the order of repetitive JSON objects within an array without corrupting the data or breaking the JSON syntax. It acts as a data engineer, rigorously validating the input schema (checking for property consistency and lack of nesting) before performing the shuffle. It ensures data integrity is maintained while reordering records, making it ideal for testing, simulation, or data preparation workflows.

Statistical A/B Testing and Analysis Expert

statistical-analyst

alirezarezvani/claude-skills

This expert tool guides users through rigorous statistical analysis, specializing in A/B testing, hypothesis testing, and interpreting experimental results. It helps define sample sizes, executes appropriate tests (Z-test, T-test, Chi-square), and critically distinguishes between 'statistical significance' and 'practical significance' to ensure data-driven decision-making for product and business strategy.

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