Découvrez les skills documentation data analysis, comparez leurs dépôts et consultez leurs instructions.
Extract, analyze, and visualize simulation output data. Use for field extraction, time series analysis, line profiles, statistical summaries, derived quantity computation, result comparison to references, and a...
Identify computational bottlenecks, analyze scaling behavior, estimate memory requirements, and receive optimization recommendations for any computational simulation. Use when simulations are slow, investigatin...
Explains code, algorithms, system design using ASCII diagrams. Trigger phrases - "explain visually", "I don't get it", "show me", "ascii diagram", "help me understand". Produces diagram-first explanations endin...
Skill professionnel pour Claude Code permettant d'accéder, télécharger et analyser les données ouvertes françaises via data.gouv.fr. Inclut une librairie Python complète, des exemples de code, et une documentat...
Generate professional markdown and HTML reports from data with charts, tables, and analysis.
Parse, transform, and analyze CSV files with advanced data manipulation capabilities.
Interactive database query builder for generating optimized SQL and NoSQL queries.
Transform, manipulate, and analyze JSON data structures with advanced operations.
Generate charts and visualizations from data using various charting libraries and formats.
Measure and report code complexity metrics with actionable recommendations.
Effectively use Narwhals to write dataframe-agnostic code that works seamlessly across multiple Python dataframe libraries. Write correct type annotations for code using Narwhals.
Authoritative reference for Mermaid diagram syntax. Provides diagram types, syntax patterns, examples, and platform integration guidance for generating accurate Mermaid diagrams.
Decision guidance for selecting the right diagram type and tool. Provides patterns for common visualization scenarios, tool comparison, and best practices.
TODO: [What it does]. Use when [specific triggers]. Example: "Analyzes Excel spreadsheets and generates charts. Use when working with Excel files, .xlsx, spreadsheet analysis, or data visualization." REQUIRED:...
Define measurable success metrics (KPIs) tied to product type during PRD v0.3 Commercial Model. Triggers on requests to define success metrics, set KPI targets, determine what to measure, establish go/no-go thr...
Scaffolds a structured investigation in scratch/ for empirical research and documentation. Use when the user says "start an investigation" or wants to: trace code paths or data flow ("trace from X to Y", "what...
Analyze media files (PDFs, images, diagrams) that require interpretation beyond raw text. Extracts specific information or summaries from documents, describes visual content. Use for document analysis, image un...
Expert in aggregating, processing, and synthesizing information from multiple sources into coherent insights. Use when building knowledge graphs, ontologies, RAG systems, or extracting insights across documents...
Expert technical advisor with deep reasoning for architecture decisions, code analysis, and engineering guidance. Masters complex tradeoffs, system design, security architecture, performance optimization, and e...
Expert in automating Excel workflows using Node.js (ExcelJS, SheetJS) and Python (pandas, openpyxl).
General-purpose agent for researching complex questions and executing multi-step tasks. Versatile problem-solver that combines research capabilities, analytical thinking, and systematic task execution. Use for...
Expert in high-performance CSV processing, parsing, and data cleaning using Python, DuckDB, and command-line tools. Use when working with CSV files, cleaning data, transforming datasets, or processing large tab...
Use when user needs SQL development, database design, query optimization, performance tuning, or database administration across PostgreSQL, MySQL, SQL Server, and Oracle platforms.
Expert in statistical analysis, predictive modeling, machine learning, and data storytelling to drive business insights.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.