Découvrez les skills documentation data analysis, comparez leurs dépôts et consultez leurs instructions.
This skill should be used when the user asks to "plan team structure", "determine hiring needs", "design org chart", "calculate compensation", "plan equity allocation", or requests organizational design and hea...
Replaces the diagramming task of visualizing the "big picture" and "external boundaries" of the system based on the C4 model (Level 1). Typical use cases: (1) MECE identification of actors and external systems...
Generate HTML reports, charts, and dashboards with neo-brutal design. Use for creating GitHub activity reports, Fieldy summaries, Skillz analytics, and other data visualizations.
Aggregate and merge data from multiple sources including App Store sales, GitHub commits, Skillz events, and more. Use when combining data for reports, dashboards, or analysis.
Create data-driven charts with Vega-Lite (simple) and Vega (advanced). Best for bar, line, scatter, heatmap, area charts, and multi-series analytics. Use when you have numeric data arrays needing statistical vi...
Create flowcharts, sequence diagrams, state machines, class diagrams, Gantt charts, mindmaps, and more. Best for process flows, API interactions, system architecture, and technical documentation. NOT for data-d...
Create beautiful infographics with pre-designed templates. Best for KPI cards, timelines, roadmaps, step-by-step processes, A vs B comparisons, SWOT analysis, funnels, org trees, pie/bar charts. Use when you ne...
A deep analysis mode for the Google AI (Gemini) to fully deconstruct the codebase and market conditions without editing code.
ALWAYS USE when building semantic layer, working with metrics/dimensions, or integrating dbt with Cube consumption APIs. Use IMMEDIATELY when working with Cube REST API, GraphQL queries, or Postgres wire protoc...
Create reactive marimo notebooks for data analysis and visualization. Use when the user asks to create a marimo notebook, work with reactive notebooks, or build interactive data visualizations. User-invocable w...
R 4.4+ development specialist covering tidyverse, ggplot2, Shiny, and data science patterns. Use when developing data analysis pipelines, visualizations, or Shiny applications.
Data format specialist covering TOON encoding, JSON/YAML optimization, serialization patterns, and data validation for modern applications. Use when optimizing data for LLM transmission, implementing high-perfo...
Statistical analysis and data exploration workflows for effective data-driven insights. Use when analyzing datasets, performing exploratory data analysis (EDA), statistical hypothesis testing, data visualizatio...
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...
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.