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Analyze DeFi Liquidity Pool Metrics

analyzing-liquidity-pools

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive tool for analyzing Decentralized Exchange (DEX) liquidity pools across major protocols (e.g., Uniswap, Curve). It calculates vital metrics such as Total Value Locked (TVL), trading volume, fee income, and impermanent loss (IL). Use this when comparing LP opportunities, assessing protocol risk, or projecting returns from yield farming.

Analyze DeFi Liquidity Pool Metrics

analyzing-liquidity-pools

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive tool for analyzing Decentralized Exchange (DEX) liquidity pools across major protocols (e.g., Uniswap, Curve). It calculates vital metrics such as Total Value Locked (TVL), trading volume, fee income, and impermanent loss (IL). Use this when comparing LP opportunities, assessing protocol risk, or projecting returns from yield farming.

Churn Analysis Guide

churn-analysis-helper

jeremylongshore/claude-code-plugins-plus-skills

Automates churn analysis workflows by offering guidance, best practices, and production-ready code for SQL, visualization, statistical work, and BI outputs within data analytics projects.

Scientific Research And Analysis Skills

claude-scientific-skills

sickn33/antigravity-awesome-skills

This skill provides comprehensive guidance and established patterns for conducting rigorous scientific research and complex data analysis. It helps users structure their thinking process, ensuring a systematic and methodical approach to scholarly inquiry. Ideal for academic projects, literature reviews, and complex data interpretation.

Databricks Cluster and Notebook Quickstart

databricks-hello-world

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to setting up a minimal working example on Databricks. This skill covers creating a development cluster, uploading and executing notebooks (Python SDK), running tasks as jobs, and setting up a Serverless SQL Warehouse. It is ideal for new users or initializing a basic data engineering project.

Regression Analysis Helper

regression-analysis-helper

jeremylongshore/claude-code-plugins-plus-skills

Provides automated regression analysis guidance, best practices, code snippets, and validation for SQL, BI, visualization, and statistical workflows in data analytics projects.

Materials Structure Toolkit

K-Dense-AI/claude-scientific-skills

A Python materials science library for constructing, analyzing, and converting crystal structures, computing phase diagrams and electronic properties, and integrating with the Materials Project API for high-throughput workflows.

GeoMaster Earth Observation Suite

K-Dense-AI/claude-scientific-skills

GeoMaster is a comprehensive geospatial science skill that guides remote sensing, GIS, spatial analysis, and machine learning workflows for Earth observation and planetary data projects, covering satellite imagery, vector/raster math, point clouds, terrain, hydrology, and cloud-native data stacks.

Manage Annotation Configs and Queues

arize-annotation

github/awesome-copilot

This skill provides comprehensive management for annotation schemas (configs) and human review workflows (queues) within the Arize platform. It supports defining categorical, continuous, and freeform label types. Users can programmatically apply these annotations to project spans and datasets using the Python SDK, facilitating structured human feedback loops and improving model monitoring.

Manage Research Projects and Papers

K-Dense-AI/scientific-agent-skills

The Paperzilla skill provides direct command-line access to interact with Paperzilla data. Users can fetch the latest research recommendations, summarize canonical papers in markdown format, view project feeds, leave feedback, and export data in various formats (JSON, Atom). It is essential for researchers needing structured insights into academic projects and literature.

DNAnexus Genomics Workload Management

dnanexus-integration

K-Dense-AI/scientific-agent-skills

A comprehensive skill for building, operating, and automating complex, reproducible genomics workloads on the DNAnexus platform. It provides deep integration with the `dx` CLI, `dxpy` Python SDK, and workflow languages like Nextflow and WDL. Use it for data transfer, job monitoring, project automation, and ensuring secure, efficient execution of large-scale biological computations.

MATLAB and Octave Workflow Safety Guide

K-Dense-AI/scientific-agent-skills

A comprehensive guide for designing, reviewing, and migrating numerical workflows in MATLAB or GNU Octave. It emphasizes building reproducible projects, adhering to strict safety boundaries, and ensuring code semantics are explicit for robust data processing and analysis.

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