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Detect Crypto Arbitrage Opportunities

finding-arbitrage-opportunities

jeremylongshore/claude-code-plugins-plus-skills

This tool detects profitable arbitrage opportunities across centralized exchanges (CEX), decentralized exchanges (DEX), and cross-chain markets in real-time. It aggregates price data, calculates net profit after fees, and identifies various arbitrage paths, including direct, triangular, and cross-chain opportunities. It is designed for quantitative traders needing to monitor market efficiency and exploit price discrepancies.

BioServices Cross-DB API

K-Dense-AI/claude-scientific-skills

BioServices provides Python wrappers for 40+ bioinformatics services, allowing cross-database queries, identifier mapping, pathway exploration, and sequence or compound research within consistent workflows.

BRENDA Enzyme Explorer

brenda-database

K-Dense-AI/claude-scientific-skills

Access the BRENDA SOAP API to retrieve enzyme kinetic parameters, reaction equations, organism-specific data, and environmental preferences, enabling biochemical research, metabolic pathway reconstruction, and enzyme engineering workflows.

DrugBank Database Insights

drugbank-database

K-Dense-AI/claude-scientific-skills

Provides programmatic access to DrugBank drug and target data, covering downloads, queries, interaction networks, targets/pathways, and chemical similarity analyses for pharmacology research and safety reviews.

Human Metabolome Explorer

K-Dense-AI/claude-scientific-skills

Access HMDB to search over 220K human metabolites by name, ID, structure, disease or specimen, retrieve chemical/clinical/pathway data, and download spectra for metabolomics workflows.

KEGG REST Toolkit

K-Dense-AI/claude-scientific-skills

Direct Python helpers for KEGG's REST API, covering database metadata, listing, search, retrieval, ID conversion, linkage, and drug interactions to power pathway and gene analysis.

PathML Computational Pathology Toolkit

K-Dense-AI/claude-scientific-skills

PathML is a Python toolkit for computational pathology workflows, loading 160+ slide formats, preprocessing H&E images, constructing spatial graphs, training HoVer-Net/HACTNet models, and analyzing multiplex imaging for ML-ready pathology data.

Reactome Pathway Explorer

reactome-database

K-Dense-AI/claude-scientific-skills

Query the Reactome Content and Analysis Services (or the reactome2py client) to fetch pathway hierarchies, map genes, run overrepresentation/expression analyses, and explore disease interactions for systems biology research.

Scientific Brainstorming Partner

scientific-brainstorming

K-Dense-AI/claude-scientific-skills

Conversational research ideation assistant that helps scientists generate novel hypotheses, explore interdisciplinary analogies, challenge assumptions, and outline experiment pathways during early-stage planning.

Analyze Machine Learning Experiment Results

analyze-results

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

This tool analyzes ML experiment results from various paths (JSON/CSV). It computes comprehensive statistics, builds detailed comparison tables based on model types and hyperparameters, and generates actionable insights. Use it when you need to interpret raw experimental data, compare different model runs, or determine the next steps for research.

Detect Suspicious Windows Service Installations

hunting-for-unusual-service-installations

mukul975/Anthropic-Cybersecurity-Skills

This skill performs threat hunting for persistence mechanisms by parsing Windows System event logs (Event ID 7045). It specifically detects suspicious service installations, analyzing service binary paths, and correlating these events with advanced telemetry (Sysmon/EDR) to identify indicators of compromise (MITRE ATT&CK T1543.003). Ideal for incident response and security validation.

Analyzing Windows LNK Artifacts for Forensics

analyzing-windows-lnk-files-for-artifacts

mukul975/Anthropic-Cybersecurity-Skills

This guide details the process of parsing Windows LNK shortcut files to extract crucial forensic artifacts. It gathers information such as target paths, MAC timestamps, volume serial numbers, and machine identifiers. This technique is invaluable in digital forensics, helping investigators reconstruct user activity timelines, track accessed files on removable media, or build comprehensive evidence from compromised systems.

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