analysis▌

deepTools is a comprehensive suite of Python command-line tools for processing and analyzing high-throughput sequencing data.

Data structure for annotated matrices in single-cell analysis, facilitating efficient storage, manipulation, and analysis of large datasets.

Systematically evaluate completed short stories or novel chapters to identify strengths, weaknesses, and improvement opportunities. Use after drafting to assess whether the piece achieves its narrative goals.

Statistical methods for descriptive analysis, trend detection, outlier identification, and hypothesis testing with practical business interpretation. \n \n Covers descriptive statistics (mean, median, percentiles, spread measures), trend analysis with moving averages and period-over-period comparisons, and simple forecasting methods for business analysts \n Includes three outlier detection approaches (z-score, IQR, percentile methods) with guidance on investigating and handling anomalies rather

Comprehensive sentiment analysis report for individual stocks with bull and bear breakdowns. \n \n Aggregates sentiment scores and viewpoint counts across multiple bloggers for a single ticker \n Retrieves detailed arguments from both bullish and bearish perspectives with direct quotes and attribution \n Identifies blogger positions and conviction levels (heavy/light holdings) to gauge skin-in-the-game confidence \n Compiles risk factors and presents findings in a structured report format withou

STRIDE Analysis Patterns \n Systematic threat identification using the STRIDE methodology. \n Use this skill when \n \n Starting new threat modeling sessions \n Analyzing existing system architecture \n Reviewing security design decisions \n Creating threat documentation \n Training teams on threat identification \n Compliance and audit preparation \n \n Do not use this skill when \n \n The task is unrelated to stride analysis patterns \n You need a different domain or tool outside this scope \n

Production-ready VCF processing and variant annotation skill combining local bioinformatics computation with ToolUniverse database integration. Designed to answer bioinformatics analysis questions about VCF data, mutation classification, variant filtering, and clinical annotation.

Comprehensive protein interaction network analysis using ToolUniverse tools. Analyzes protein networks through a 4-phase workflow: identifier mapping, network retrieval, enrichment analysis, and optional structural data.

Cohort analysis tracks groups of users with shared characteristics over time, revealing patterns in retention, engagement, and lifetime value.

Comprehensive skill for analyzing T-cell receptor (TCR) and B-cell receptor (BCR) repertoire sequencing data to characterize adaptive immune responses, clonal expansion, and antigen specificity.