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Crypto Sentiment Insight

analyzing-market-sentiment

jeremylongshore/claude-code-plugins-plus-skills

Combines Fear & Greed Index, news sentiment, and momentum to score crypto market mood, supports quick or detailed coin-specific checks, and exports JSON for trading models or contrarian signals.

Crypto Sentiment Insight

analyzing-market-sentiment

jeremylongshore/claude-code-plugins-plus-skills

Combines Fear & Greed Index, news sentiment, and momentum to score crypto market mood, supports quick or detailed coin-specific checks, and exports JSON for trading models or contrarian signals.

NFT Rarity Analyzer

analyzing-nft-rarity

jeremylongshore/claude-code-plugins-plus-skills

Calculates NFT rarity scores, ranks tokens, and exports JSON/CSV data by ingesting OpenSea metadata so collectors or analysts can compare collections, inspect tokens, and use multiple algorithms plus caching for thorough rarity research.

Delta Lake ETL Workflow

databricks-core-workflow-a

jeremylongshore/claude-code-plugins-plus-skills

Guides building Databricks Delta Lake ETL pipelines with medallion architecture, covering bronze/silver/gold layers, Auto Loader ingestion, cleansing/upsert transforms, and optional Delta Live Tables to deliver analytic-ready tables.

Trading Signal Generator

generating-trading-signals

jeremylongshore/claude-code-plugins-plus-skills

Combines RSI, MACD, Bollinger Bands, moving averages, and other indicators to produce composite buy/sell signals with confidence scores, risk levels, and exportable summaries, enabling multi-asset scans or deep dives for trading opportunities.

DeepConsult Evidence Workflow

openevidence-core-workflow-b

jeremylongshore/claude-code-plugins-plus-skills

Performs OpenEvidence DeepConsult queries to synthesize comprehensive medical literature, score confidence, and format structured clinical summaries for complex research and decision support.

Structured Paper Search

bgpt-paper-search

K-Dense-AI/claude-scientific-skills

BGPT Paper Search queries the BGPT MCP server for scientific publications, returning structured metadata such as methods, quantitative results, sample sizes, and quality scores for each full-text study to support reviews, meta-analyses, and evidence synthesis.

Distributed Dask Workflows

K-Dense-AI/claude-scientific-skills

Dask enables larger-than-memory pandas/NumPy workflows through parallel, distributed execution across dataframes, arrays, bags, and futures, making it ideal for scaling ETL, analytics, or custom computations across cores or clusters.

DiffDock Molecular Docking

K-Dense-AI/claude-scientific-skills

DiffDock uses diffusion-based deep learning to predict protein-ligand binding poses and confidence scores from PDB files, sequences, or SMILES/SDF inputs, enabling single-target docking or large-scale virtual screening campaigns for structure-based drug design.

Mass Spectra Matching

K-Dense-AI/claude-scientific-skills

Matchms is an open-source Python toolkit for metabolomics mass spectrometry workflows: import and export diverse spectra, standardize metadata, filter peaks, score spectral similarity (cosine/modified cosine), and build pipelines to identify unknown compounds from libraries.

Survival Analysis Toolkit

scikit-survival

K-Dense-AI/claude-scientific-skills

Comprehensive scikit-survival guidance for handling censored data, building Cox, ensemble, and SVM survival models, and evaluating time-to-event predictions with concordance, AUC, and Brier scores, making it ideal for clinical or reliability studies in Python.

Vaex Big Data

K-Dense-AI/claude-scientific-skills

Vaex processes massive tabular datasets (billions of rows) with lazy, out-of-core DataFrames, fast aggregations, visualization, and ML pipelines without fitting data into memory, ideal for CSV/Arrow/Parquet workflows.

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