Anthropic Skills

Expert guide for Layer Cake, a headless Svelte visualization framework managing scales, dimensions, and data flow while supporting SVG, Canvas, HTML, and WebGL rendering contexts for responsive data visualizations.

Narrative summary of trend landscape

Draw and edit Mermaid diagrams in Markdown. Use when the user wants to visualize processes, flows, sequences, or asks for diagrams.

Create interactive 2D data visualizations using D3.js with zoom, pan, and custom rendering

Render and preview CSV files in browser with interactive sorting, filtering, and column statistics

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Comprehensive business research for market analysis, competitor intelligence, trend detection, and idea validation. Triggers on research requests, market sizing questions, competitor analysis needs, idea validation, TAM/SAM/SOM calculations, SWOT analysis, and timing assessments. Use when building business cases, evaluating opportunities, or validating product ideas.

Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.

Aggregate and deduplicate findings from multiple audit reports

Analyze student enrollment data with focus on student-centric queries including student counts, enrollment analysis, course loads, and tracking student enrollment changes over time.

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Database design, Query optimization, and Data integrity expert for SQL and NoSQL.

根据用户描述智能选择最合适的图表类型并生成 Mermaid 代码。支持流程图、时序图、类图、ER图、甘特图、状态图等全部类型，配色鲜艳美观。

Create custom Makie plot types using recipes for reusable, themeable visualizations. Use this skill when implementing plot recipes in Makie extensions.

Generate professional infographics with 20 layout types and 17 visual styles. Analyzes content, recommends layout×style combinations, and generates publication-ready infographics. Use when user asks to create "infographic", "信息图", or "visual summary".

Helps create and structure Jupyter notebooks for teaching labs. Use this skill when creating lab notebooks, adding explanations for students, structuring educational content, or writing code cells with proper documentation.

Time-boxed technical investigation with structured output. Use for feasibility studies, architecture exploration, integration assessment, performance analysis, or risk evaluation. Creates spike tasks in ohno, enforces time-boxing, generates spike reports, and creates actionable follow-up tasks. Triggers on "spike on X", "investigate whether we can", "how hard would it be to", "what's the best approach for", or any exploratory technical question needing bounded research.

Create, edit, analyze spreadsheets (.xlsx, .csv, .tsv). Use for Excel formulas, data analysis, visualization, formatting, pivot tables, charts, formula recalculation.

Apply step-by-step analysis for complex problems with revision capability. Use for multi-step reasoning, hypothesis verification, adaptive planning, problem decomposition, course correction.

Design schemas, write queries for MongoDB and PostgreSQL. Use for database design, SQL/NoSQL queries, aggregation pipelines, indexes, migrations, replication, performance optimization, psql CLI.

World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.

Comprehensive multi-dimensional skill reviews across structure, content, quality, usability, and integration. Task-based operations with automated validation, manual assessment, scoring rubrics, and improvement recommendations. Use when reviewing skills, ensuring quality, validating production readiness, identifying improvements, or conducting quality assurance.

Multi-phase research orchestration for thorough codebase, documentation, and external knowledge investigation. Invoked by /ai-eng/research command. Use when conducting deep analysis, exploring codebases, investigating patterns, or synthesizing findings from multiple sources.

Create Mermaid diagrams for technical documentation, system design, and data modeling. Use when creating flowcharts, sequence diagrams, class diagrams, state diagrams, ER diagrams, Gantt charts, git graphs, or any other Mermaid-supported diagram type. Supports both creating new diagrams from descriptions and converting diagrams to SVG format for embedding in presentations or documents.

对CSV/Excel数据进行描述性统计分析。当用户需要"统计分析"、"数据分布"、"描述统计"、"查看数据特征"、"异常值检测"、"数据探索"或请求分析数值数据时使用此skill。

Building and processing datasets - data quality, curation, deduplication, synthesis, annotation, formatting. Use when creating training data, improving data quality, or generating synthetic data.

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Analyze and explain TimeGPT forecast results in plain English. Generates

Comprehensive Generalized Linear Model analytics for regression and classification

Matrix data model verification using ASCII diagrams. Use when working with *Progressions.ts files, defineProgression(), or testing how 2D numeric grids evolve over time. Auto-apply when editing files matching *Progressions.ts or src/test-utils/ascii*.ts.

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R 4.4+ best practices with testthat 3.2, lintr 3.2, and data analysis patterns.

Provides architectural guidance for data lake design including partitioning strategies, storage layout, schema design, and lakehouse patterns. Activates when users discuss data lake architecture, partitioning, or large-scale data organization.

Expert at creating continuous improvement feedback loops for Claude's responses. Use when establishing self-improvement processes, tracking progress over time, or implementing iterative refinement workflows.

Synthesize multiple sentiment analyses to identify market trends, gaps, opportunities, and predict likely hits. Cross-analyzes patterns to find underserved markets and highlight unique innovations.

Execute numerical calculations and mathematical computations using Julia. Use this skill for matrix operations, linear algebra, numerical integration, optimization, statistics, and scientific computing tasks.