數據科學

Parse URLs in CSV files and extract query parameters as new columns. Use when working with CSV files containing URLs that need parameter extraction and analysis.

Create leveraged buyout (LBO) models in Excel with sources & uses, debt schedules, cash flow waterfalls, and IRR calculations for private equity analysis Activates when you request "excel lbo modeler" functionality.

This skill performs differential topologically associating domain (TAD) analysis using HiCExplorer's hicDifferentialTAD tool. It compares Hi-C contact matrices between two conditions based on existing TAD definitions to identify significantly altered chromatin domains.

The TF-differential-binding pipeline performs differential transcription factor (TF) binding analysis from ChIP-seq datasets (TF peaks) using the DiffBind package in R. It identifies genomic regions where TF binding intensity significantly differs between experimental conditions (e.g., treatment vs. control, mutant vs. wild-type). Use the TF-differential-binding pipeline when you need to analyze the different function of the same TF across two or more biological conditions, cell types, or treatments using ChIP-seq data or TF binding peaks. This pipeline is ideal for studying regulatory mechanisms that underlie transcriptional differences or epigenetic responses to perturbations.

This skill enables Claude to profile application performance, analyzing CPU usage, memory consumption, and execution time. It is triggered when the user requests performance analysis, bottleneck identification, or optimization recommendations. The skill uses the application-profiler plugin to identify performance bottlenecks and suggest code-level optimizations. Use it when asked to "profile application", "analyze performance", or "find bottlenecks". It is also helpful when the user mentions specific performance metrics like "CPU usage", "memory leaks", or "execution time".

Generate comprehensive scientific research-style documentation for completed coding projects. Use when the user requests project documentation, a technical breakdown, a study paper, a lecture document, or wants to understand everything about a project they just built. Triggers include phrases like "document this project," "create a study paper," "explain everything we did," "write up the full breakdown," "scientific documentation," or "I want to learn from this project." Produces formal Word documents (.docx) with academic structure, beginner-friendly explanations, and exhaustive code analysis.

Facilitate structured brainstorming using parallel sub-agents to explore idea spaces. Use for IDEATION/CONCEPTUAL WORK ONLY, NOT for implementation planning or task breakdown. Use when user wants to brainstorm, explore ideas, generate concepts, develop vision, or discover creative directions. Transforms vague ideas into practical, tangible expressions through 5 rounds of parallel agent analysis and refinement.

Automatically categorizes test failures, suggests responsible owners, and provides common fix checklists. Generates actionable test reports with failure analysis. Use for "test reporting", "failure triage", "test analysis", or "test automation".

Conducts user experience research and analysis to inform design decisions. Reviews first-party and third-party user data, analyzes industry trends from UX and visual design perspectives, and plans user research studies. Creates personas, customer segments, design principles, design roadmaps, and research discussion guides.

Game building mechanics case studies and decision frameworks. Use when designing building systems, evaluating trade-offs, or learning from existing games. Reference-only skill with detailed analysis of Fortnite, Rust, Valheim, Minecraft, No Man's Sky, and Satisfactory building systems.

This skill performs protein-mediated regulatory community analysis from ChIA-PET datasets and provide a way for visualizing the communities. Use this skill when you have a annotated peak file (in BED format) from ChIA-PET experiment and you want to identify the protein-mediated regulatory community according to the BED and BEDPE file from ChIA-PET.

Use when encountering any bug, test failure, or unexpected behavior - IMMEDIATELY enter on first error. Four-phase framework (basic checks, root cause, pattern analysis, hypothesis testing, implementation) that ensures understanding before attempting solutions

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas

This skill enables Claude to aggregate and centralize performance metrics from various sources. It is used when the user needs to consolidate metrics from applications, systems, databases, caches, queues, and external services into a central location for monitoring and analysis. The skill is triggered by requests to "aggregate metrics", "centralize performance metrics", or similar phrases related to metrics aggregation and monitoring. It facilitates designing a metrics taxonomy, choosing appropriate aggregation tools, and setting up dashboards and alerts.

This skill uses the owasp-compliance-checker plugin to automatically identify potential security vulnerabilities based on the OWASP Top 10 (2021) list. It helps ensure your application adheres to industry-standard security practices by providing a detailed analysis of compliance gaps and offering remediation guidance. Use this skill when you need to audit your code for OWASP compliance, identify and fix vulnerabilities, or generate a compliance report. Trigger this skill by asking to "check OWASP compliance", "scan for OWASP vulnerabilities", or using the `/owasp` shortcut.

This skill enables Claude to forecast future values based on historical time series data. It analyzes time-dependent data to identify trends, seasonality, and other patterns. Use this skill when the user asks to predict future values of a time series, analyze trends in data over time, or requires insights into time-dependent data. Trigger terms include "forecast," "predict," "time series analysis," "future values," and requests involving temporal data.

This skill enables Claude to analyze and optimize system throughput. It is triggered when the user requests throughput analysis, performance improvements, or bottleneck identification. The skill uses the `throughput-analyzer` plugin to assess request throughput, data throughput, concurrency limits, queue processing, and resource saturation. Use this skill when the user mentions "analyze throughput", "optimize performance", "identify bottlenecks", or asks about system capacity. It helps determine limiting factors and evaluate scaling strategies.

Troubleshoot agent & tool failures in scheduling orchestration. Use when MCP tools fail, agent communication breaks, constraint engines error, or database operations timeout. Provides systematic incident response and root cause analysis.

Use when the user asks to generate test cases, create test specifications, write unit tests, create QA documentation, or analyze test coverage. Triggers on keywords like "test", "test case", "unit test", "QA", "coverage", "Given When Then", "BDD", "TDD", "spec".

Fetch and compress blog articles from tech-lab.sios.jp into the doc/ directory with token usage statistics and OGP metadata