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Scientific Hypothesis Formulation

hypothesis-generation

K-Dense-AI/claude-scientific-skills

Guides structured hypothesis generation by combining literature searches, evidence synthesis, competing explanations, and experimental design, with mandatory AI-generated scientific schematics for complete reports.

Open Targets Explorer API

opentargets-database

K-Dense-AI/claude-scientific-skills

Provides GraphQL queries to the Open Targets Platform for target-disease associations, tractability, safety, drugs, and multi-omics evidence to guide therapeutic target identification, safety assessment, and repurposing research workflows.

Scikit Learn Toolkit

K-Dense-AI/claude-scientific-skills

Guides developers through scikit-learn workflows for classical supervised and unsupervised tasks, data preprocessing, evaluation schemes, hyperparameter tuning, and end-to-end pipelines when building interpretable production models.

Statistical Analysis and Reporting Guide

statistical-analysis

K-Dense-AI/claude-scientific-skills

A comprehensive guide for systematic statistical analysis, designed for academic research. This skill assists in selecting the correct hypothesis tests (t-test, ANOVA, regression, chi-square), checking assumptions (normality, homogeneity), performing advanced analyses (Bayesian methods, power analysis), calculating effect sizes, and generating full APA-formatted reports for publication.

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.

Bayesian Modeling and Inference with PyMC

K-Dense-AI/claude-scientific-skills

PyMC is a powerful Python library for probabilistic programming and advanced Bayesian inference. This comprehensive guide details the full workflow for building, fitting, and validating complex Bayesian models. Learn to implement hierarchical structures, perform MCMC sampling (NUTS), conduct posterior predictive checks (PPC), and effectively quantify uncertainty using industry best practices.

Risk Modeling

sickn33/antigravity-awesome-skills

Placeholder skill entry for risk modeling workflows that outlines basic analytics and scenario planning used to quantify potential losses and guide mitigation decisions.

Product Analytics: Metrics and Funnels

analytics-product

sickn33/antigravity-awesome-skills

A comprehensive guide to product analytics, covering essential concepts like event tracking (PostHog, Mixpanel), funnels, cohort analysis, retention metrics, North Star Metrics, and OKR setting. Use this skill to define data-driven product strategies, optimize user journeys, and build robust performance dashboards.

Product Metric Analysis Framework

product-analytics

alirezarezvani/claude-skills

A comprehensive guide for defining, tracking, and interpreting product metrics across all stages—from discovery to maturity. This skill covers selecting metric frameworks (AARRR, HEART), defining stage-appropriate KPIs, designing multi-layered dashboards, and executing deep analyses like cohort and retention modeling. It helps teams transform raw data into actionable product strategies, moving beyond vanity metrics.

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 Malware Family Relationships with Malpedia

analyzing-malware-family-relationships-with-malpedia

mukul975/Anthropic-Cybersecurity-Skills

This skill provides a comprehensive guide to using the Malpedia API for advanced malware intelligence analysis. Users can track malware family relationships, analyze variant evolution, extract associated YARA rules for detection, and map connections to specific threat actors. It is essential for security researchers and SOC analysts building robust threat models.

Analyzing Threat TTPs with MITRE Navigator

analyzing-threat-actor-ttps-with-mitre-navigator

mukul975/Anthropic-Cybersecurity-Skills

This tool helps security analysts map Advanced Persistent Threat (APT) group tactics, techniques, and procedures (TTPs) to the MITRE ATT&CK framework. By utilizing the ATT&CK Navigator and the attackcti Python library, users can query STIX/TAXII data to visualize threat profiles, assess detection coverage gaps, and guide defensive planning for complex cyber incidents.

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