data-analysis
Analyze and interpret data to generate meaningful insights using statistical methods and visualization. Use when working with datasets, metrics, statistics, or when insights from data are needed.
发现 tools data analysis 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
Analyze and interpret data to generate meaningful insights using statistical methods and visualization. Use when working with datasets, metrics, statistics, or when insights from data are needed.
Analyze and improve database performance through safe, measurable query, index, and configuration optimizations.
[31] ANALYZE. Universal deep thinking methodology for any situation requiring quality reasoning. Use when solving problems, debugging, making decisions, analyzing code, planning, reviewing, or anytime you need...
Investigation Analyst persona for systematic troubleshooting and debugging. ACTIVATE when messages contain debug, investigate, troubleshoot, analyze, diagnose, error, bug, root-cause, RCA, trace, or inspect key...
Guide statistical analysis of NFL data using nflreadpy MCP tools. Use when analyzing real NFL statistics for research, validation, or comparison.
Comprehensive multi-AI consensus workflow for: 1. CODE REVIEW - Clinical/technical review following SOP with TODO.md/IDEAS.md tracking 2. ANALYSIS PLANNING - Statistical/bioinformatic analysis plans saved to an...
UX research and design toolkit for user-centered design, including persona generation, journey mapping, usability testing, and research synthesis. Trigger: When conducting user research, creating personas, mapp...
Expert guidance for Polars dataframe manipulation in Python. Use this skill when working with dataframes, data processing, ETL pipelines, or any task involving tabular data manipulation. Provides best practices...
Build mathematically correct, visually prominent data visualizations for time-series charts. Use this skill when creating charts with mathematical overlays (trendlines, patterns, indicators), fixing visual arti...
Automatically analyze performance issues when user mentions slow pages, performance problems, or optimization needs. Performs focused performance checks on specific code, queries, or components. Invoke when use...
Comprehensive skill for interacting with Grafana's HTTP API to manage dashboards, data sources, folders, alerting, annotations, users, teams, and organizations. Use when Claude needs to (1) Create, read, update...
사용자의 주간 학습 기록(마크다운 파일들)을 분석하여 통계 및 복습용 자료를 생성할 때 사용한다.
Build data visualizations with visx (React + D3). Use for charts, graphs, and interactive data exploration.
AI-powered data analysis for Empathy Ledger - themes, quotes, story suggestions, transcript analysis.
Navigate Supabase database tables, relationships, and query patterns. Schema reference for Empathy Ledger.
Execute GGUF quantization with imatrix protection, perform statistical benchmark evaluation with error bars, generate academic-style methodology documentation, and create comprehensive scorecards. Use when eval...
HTML infographic templates. Use when creating carousel slides or infographics.
Generates ASCII-based architecture, data flow, or call graph diagrams for software projects. Use this when the user asks to "visualize", "draw", or "show the relationship" between code modules, especially in a...
Analyze datasets using pandas, generate reports, and create visualizations
Symmetry analysis, Lyapunov exponent chaos detection, and period detection APIs. Use when analyzing CA states, detecting patterns, measuring stability, or classifying dynamic behavior.
Evaluate AI systems for fairness using demographic parity, equalized odds, and bias detection techniques with mitigation strategies.
Plan explainable AI (XAI) requirements including SHAP, LIME, attention visualization, and regulatory explainability needs.
VictoriaMetrics + Loki + Grafana. Light or full mode.
Create new visualizations for the IWAC Dashboard. Use this skill when: - Adding a new chart, graph, map, or data visualization - Creating Python data generation scripts for new visualizations - Building reusabl...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。