发现 documentation 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。
Analyzes CSV files, generates comprehensive summary statistics, identifies data patterns, and creates visualizations using Python and pandas. Automatically adapts analysis based on data type (sales, customer, f...
Create Excel files with multiple sheets and cross-sheet formulas including COUNTIFS, VLOOKUP, and MATCH. Keep source data in one sheet and create summary sheets with formulas referencing the source data.
Information about Probitas framework. Use when asked "what is Probitas", explaining its purpose, features, or comparing with other test frameworks.
Configure chart axis mappings and display options for all chart types in Drizzle Cube.
Build semantic queries with measures, dimensions, filters, and time dimensions for Drizzle Cube.
This skill should be used when the user asks to "configure data source", "data from database", "fetch data from API", "scrape web data", "generate training data with LLM", "regenerate data", "data pipeline", "w...
Patterns for analyzing, improving, and documenting Jupyter notebooks for scientific data analysis. Includes data filtering, visualization optimization, and resource analysis techniques.
CRITICAL for ALL mathematical and numerical operations including arithmetic, percentages, averages, and DATE/CALENDAR calculations (day of week, date differences, time calculations). MANDATORY when user asks to...
Analyzes algorithmic trading backtest results from Jupyter notebooks and generates summary reports. Use when the user wants to analyze or summarize backtest notebooks.
Create tiered reports (micro/standard/comprehensive) based on task complexity. Tier 1 (200-500 words) for Level 1 tasks, Tier 2 (500-1500 words) for Level 2, Tier 3 (1500-5000 words) for Level 3 epics. Synthesi...
Evaluates investment risks, performs Monte Carlo simulations, and generates risk reports. Use when analyzing portfolio risk, stress testing, or regulatory compliance.
Analyzes financial statements, calculates key metrics, and generates investment reports. Use when reviewing earnings, building DCF models, or comparing company financials.
Generates a chronological timeline of key events, decisions, and flashpoints from a collection of documents. Use when asked to create a timeline, understand sequence of events, see what happened when, or track...
Help craft efficient Grafana Loki / LogQL queries for debugging logs — with label‑based filtering, narrow time windows, and best‑practice guidance to avoid expensive or overly broad scans.
Help craft efficient Mimir/Prometheus queries, troubleshoot metric issues, avoid high-cardinality problems, and recommend best practices for aggregation, recording rules, and performance.
Deep module investigation using Amp's Search for discovery, oracle for expert analysis, and mermaid for visualization. Use when you need to understand complex code, prepare for refactoring, or debug issues.
Calculate z-scores for speleothem geochemical data. Use when analyzing cave isotope anomalies, finding significant deviations, or identifying potential earthquake signals. Triggers on "zscore", "calculate z", "...
Query databases and explore data. Use when the user mentions database, query, SQL, table, schema, data exploration, "check the data", "look at the database", "what's in the table", "show me records", "find in d...
Manages exploratory computational analysis sessions using RAYVEN CLI. Use when doing data analysis, scientific computing, machine learning experiments, or any exploratory work where you try approaches, iterate,...
Core Mediana package functions for Clinical Scenario Evaluation (CSE). Use when designing data models, analysis models, evaluation models, and running comprehensive trial simulations.
Deep methodology knowledge for pairwise meta-analysis including fixed vs random effects, heterogeneity assessment, publication bias, and sensitivity analysis. Use when conducting or reviewing pairwise MA.
Deep methodology knowledge for STC including outcome regression approach, effect modifier selection, covariate centering, and comparison with MAIC. Use when conducting or reviewing STC analyses.
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Codex needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for:...
Tracks financial transactions, categorizes expenses, monitors budgets, and audits subscriptions. Use when processing bank transactions, categorizing expenses, tracking revenue, or analyzing financial data.
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。