データ分析

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データ分析

Synthesize

Summarize an entire task's multi-model discussion history into a structured research synthesis

Weiwei-Mao0

SkillsPool

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データ分析

検索すべてのカテゴリを見る

AIに聞く

データ分析

Synthesize

Summarize an entire task's multi-model discussion history into a structured research synthesis

Weiwei-Mao0

データ分析

Load this skill when the analysis involves cohort retention, cohort revenue, or any time-based cohort visualization. Contains the required output tables (long-format heatmap + absolute-time stacked bar), canvas-based rendering, color scale logic, null cell handling, period definitions, and the contractual vs non-contractual distinction.

YorphAI0

データ分析

Data Reconciliation

Recovering missing spreadsheet values by using totals, percentages, growth rates, and other mathematical constraints in tabular data.

yujianll0

データ分析

World Person

此刻，中国某个角落里有一个人正在…… 按真实人口分布随机选一个省份地区，生成一个经得起推敲的中国普通人此刻快照——有烟火气，有命运感，有画面感。| A vivid snapshot of a random Chinese person right now — region picked by real population weight, grounded in geography, climate, season, and culture.

weite760

データ分析

Analyze Results

Analyze A/B test results with proper statistical methods. Accepts data as CSV, summary stats, or a file path. Reports significance, confidence intervals, effect sizes, and flags common issues.

weisberg0

データ分析

Name

Welkon0

データ分析

Paper Figure

Generate publication-quality figures and tables from experiment results. Use when user says "画图", "作图", "generate figures", "paper figures", or needs plots for a paper.

Wenwen5550

データ分析

Hyde

生成假设性文档（假答案）来替代原始短问题，从而提升向量相似度检索的命中率。

Why-unable0

データ分析

Metadata Extraction

从自然语言中提取结构化过滤条件（元数据），以支持混合检索（条件过滤 + 向量语义）。

Why-unable0

データ分析

Source Comparison

Compare multiple sources on a topic and produce a grounded comparison matrix. Use when the user asks to compare papers, tools, approaches, frameworks, or claims across multiple sources.

WilmerGaspar0

データ分析

Identify Subject

Identify a subject by matching a dental query image against the database.

wisam790

データ分析

lucid-skill

AI-native data analysis via natural language. Connect Excel, CSV, MySQL, PostgreSQL data sources and query with SQL. Use when: (1) user asks to query, analyze, or explore data ('查询数据', '数据分析', '帮我看下数据'), (2) user provides Excel/CSV files or database credentials for analysis, (3) user asks business questions about connected data ('哪个产品销量最高', 'how do orders and customers relate?'), (4) user wants to discover table relationships, JOINs, or business domains, (5) user wants semantic search across tables. NOT for: data modification (INSERT/UPDATE/DELETE/DROP are blocked — read-only queries only), ETL pipelines, or data ingestion beyond connecting sources.

WiseriaAI0

データ分析

Dataframes

Pandas and Polars for tabular data: when to use which, indexing and dtypes, joins and reshaping, lazy Polars, I/O and Parquet, nulls, Arrow interop, and performance. Use for DataFrame/Series/LazyFrame code. Triggers on pandas, polars, DataFrame, LazyFrame, parquet, groupby, merge, join.

WSU-Carbon-Lab0

データ分析

Sdlc Mermaid Diagram

生成各种类型的 Mermaid 图表，包括系统架构图、流程图、时序图、状态图、ER 图和类图。在架构设计、流程分析、文档编写时使用。

xmx06320

データ分析

Sympy Symbolic Math

Symbolic mathematics in Python: exact algebra, calculus (derivatives, integrals, limits), equation solving, symbolic matrices, differential equations, code generation (lambdify, C/Fortran). Use when exact symbolic results are needed, not numerical approximations. For numerical computing use numpy/scipy; for statistical modeling use statsmodels.

XWIlluDelu0

データ分析

Hypothesis Generation

Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows scientific method framework. For open-ended ideation use scientific-brainstorming; for automated LLM-driven hypothesis testing on datasets use hypogenic.

XWIlluDelu0

データ分析

Plot

Conventions for creating matplotlib plots and figures. Use this skill whenever generating plots, charts, graphs, heatmaps, or any data visualisation with matplotlib. This includes bar charts comparing methods, training curves, confusion matrices, line plots, scatter plots, or any figure that will appear in a report or be shared. Also use when the user asks you to regenerate, fix, or restyle existing plots. Read references/plotting.md for the full conventions.

xycoord0

データ分析

Shadcn Datatable

Build data tables with TanStack Table and shadcn/ui. Use when users need to create data tables, implement table sorting, filtering, pagination, row selection, column visibility, faceted filters, or work with @tanstack/react-table in a shadcn/ui project. Triggers on requests like "create a data table", "add a table with sorting", "build a filterable table", "data grid".

xyqyear0

データ分析

Performance Reporter

Generate consolidated SEO and GEO performance dashboards combining rankings, traffic, backlinks, and AI visibility metrics for stakeholders. Use when the user asks to "generate SEO report", "performance report", "SEO dashboard", "report to stakeholders", "show me the numbers", "monthly SEO report", "traffic report", or "present SEO results to my boss". For detailed rank tracking, see rank-tracker. For link-specific analysis, see backlink-analyzer.

yashpanchalhq0

データ分析

Sql Optimization Patterns

Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries. Use when debugging slow queries, designing database schemas, or optimizing application performance.

yashvinthan0

データ分析

Plotly

Interactive visualization library. Use when you need hover info, zoom, pan, or web-embeddable charts. Best for dashboards, exploratory analysis, and presentations. For static publication figures use matplotlib or scientific-visualization.

Yezez90

データ分析

Speckit Git Feature

Create a feature branch with sequential or timestamp numbering

yexuanyang0

データ分析

Scientific Visualization

Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and specific journal formatting (Nature, Science, Cell). Orchestrates matplotlib/seaborn/plotly with publication styles. For quick exploration use seaborn or plotly directly.

Yezez90

データ分析

Hypothesis Generation

Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows scientific method framework. For open-ended ideation use scientific-brainstorming; for automated LLM-driven hypothesis testing on datasets use hypogenic.

Yezez90

データ分析

Data Commons Client

Work with Data Commons, a platform providing programmatic access to public statistical data from global sources. Use this skill when working with demographic data, economic indicators, health statistics, environmental data, or any public datasets available through Data Commons. Applicable for querying population statistics, GDP figures, unemployment rates, disease prevalence, geographic entity resolution, and exploring relationships between statistical entities.

Yezez90

データ分析

Backup

Δημιούργησε BACKUP_SUMMARY.json + τρέξε enterprise-backup.ps1

YorgosPag0

データ分析

Hypogenic

Automated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore hypotheses about patterns in empirical data (e.g., deception detection, content analysis). Combines literature insights with data-driven hypothesis testing. For manual hypothesis formulation use hypothesis-generation; for creative ideation use scientific-brainstorming.

Yezez90

データ分析

Polars

High-performance DataFrame library usage. Covers Lazy API, Wrangling, Aggregation.

yonesuke0

データ分析

Skill: Glimpse

Produce a token-efficient statistical portrait of a dataset — schema, dtypes, null rates, distinct counts, numeric ranges, and sample values. Load this skill any time you need to understand the shape of data — during initial connection, after sampling, when the user adds new data mid-session, or whenever you need to verify what columns and values actually exist before making claims about the data. Used by both the Orchestrator and Pipeline Builder. If you're about to reference column names, data types, or value distributions, make sure you've glimpsed first.

YorphAI0

データ分析

M3 Expressive Visualizer

Material 3 Expressiveに準拠し、指定された5つのパレット（Primary〜Quinary）を構成要素別に適用して決算グラフを描画します。

Yoshi-Dai-10

データ分析

Synthesize

データ分析

Synthesize

Yorph Cohort Heatmap Chart

Data Reconciliation

World Person

Analyze Results

Name

Paper Figure

Hyde

Metadata Extraction

Source Comparison

Identify Subject

lucid-skill

Dataframes

Sdlc Mermaid Diagram

Sympy Symbolic Math

Hypothesis Generation

Plot

Shadcn Datatable

Performance Reporter

Sql Optimization Patterns

Plotly

Speckit Git Feature

Scientific Visualization

Hypothesis Generation

Data Commons Client

Backup

Hypogenic

Polars

Skill: Glimpse

M3 Expressive Visualizer