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Recommendation System Builder

building-recommendation-systems

jeremylongshore/claude-code-plugins-plus-skills

Generates Python code and workflows for collaborative, content-based, or hybrid recommendation models, handling data prep, training, evaluation, and scalability so Claude can deliver tailored suggestions across domains.

Website Scraping and Crawling Pipeline

firecrawl-core-workflow-a

jeremylongshore/claude-code-plugins-plus-skills

This workflow provides the primary mechanism for converting complex, live websites into clean, LLM-ready markdown content. It supports single-page scraping using `scrapeUrl`, deep multi-page site crawling with `crawlUrl`, and scalable async crawling for large datasets. Ideal for building robust content ingestion pipelines and reliably extracting structured information from the web.

Optimizing Juicebox API Performance

juicebox-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

This guide provides advanced strategies for optimizing interactions with the Juicebox AI API. It covers crucial best practices such as implementing caching mechanisms (with defined TTLs), executing batch operations for efficiency, managing rate limits, and optimizing data chunking for large datasets. Following these steps can significantly reduce end-to-end analysis time and ensure responsive, scalable data workflows.

Ray Data Processing

Orchestra-Research/AI-Research-SKILLs

Ray Data offers scalable distributed data processing for ML workloads, streaming across CPU/GPU clusters and integrating with PyTorch, TensorFlow, and Ray Train. Use it for batch inference, ETL, and multi-modal preprocessing from a laptop up to hundreds of nodes.

Arboreto GRN Inference

K-Dense-AI/claude-scientific-skills

Arboreto infers gene regulatory networks from bulk or single-cell RNA-seq data using scalable GRNBoost2 and GENIE3 algorithms, letting researchers filter transcription-factor targets, run distributed Dask jobs, and export ranked links for downstream analysis.

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.

Zarr Cloud Array Storage

K-Dense-AI/claude-scientific-skills

Zarr is a Python toolkit for chunked N-D array storage with compression, sharding, and native integrations with NumPy/Dask/Xarray, ideal for parallel I/O and scalable cloud pipelines.

Analyzing Azure Logs for Security Threats

analyzing-azure-activity-logs-for-threats

mukul975/Anthropic-Cybersecurity-Skills

This skill guides users on querying Azure Monitor activity and sign-in logs using KQL to detect sophisticated security threats. It covers identifying suspicious administrative activities, impossible travel scenarios, privilege escalation attempts, and unauthorized resource modifications. Ideal for Security Operations Center (SOC) analysts building advanced threat hunting rules or developing cloud SIEM detections.

Analyzing Kubernetes Audit Logs for Threats

analyzing-kubernetes-audit-logs

mukul975/Anthropic-Cybersecurity-Skills

This tool parses Kubernetes API server audit logs (JSON lines) to detect critical security events. It specifically targets unauthorized access, secret enumeration, RBAC escalation, privileged pod creation, and shell access (exec/attach). Use it for incident response, threat hunting, or building SIEM detection rules.

Analyzing Windows Event Logs for Forensics

extracting-windows-event-logs-artifacts

mukul975/Anthropic-Cybersecurity-Skills

A comprehensive workflow for extracting, parsing, and analyzing Windows Event Logs (EVTX). It guides security professionals in using advanced tools like Chainsaw and Hayabusa, combined with Sigma rules, to detect critical security incidents such as lateral movement, privilege escalation, and persistence mechanisms during incident response and digital forensic investigations.

Hunting Process Injection Techniques via Sysmon

hunting-for-process-injection-techniques

mukul975/Anthropic-Cybersecurity-Skills

This skill provides a structured methodology for detecting process injection techniques (MITRE ATT&CK T1055), which adversaries use for defense evasion and privilege escalation. It analyzes granular security logs, specifically utilizing Sysmon Event IDs 8 (CreateRemoteThread) and 10 (ProcessAccess), alongside source-target process relationship mapping to identify suspicious malicious behavior over general system activity.

CloudTrail Log Analysis for AWS Security

implementing-cloud-trail-log-analysis

mukul975/Anthropic-Cybersecurity-Skills

A comprehensive guide on implementing AWS CloudTrail log analysis for robust security monitoring, threat detection, and forensic investigation. Learn how to configure CloudTrail, use Amazon Athena for SQL querying, and leverage CloudWatch Logs Insights and SIEM integration to identify unauthorized access, privilege escalation, and suspicious API activity across AWS services.

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