Anthropic Skills
2689 skills. Last updated 2026-03-16
Discover and use Anthropic Skills to extend Claude's capabilities with creative, technical, and enterprise workflows.
Statiske analyseverktøy for drift-sjekk, sikkerhetsscan og kodekvalitet. Bruk før commit, for å finne synkroniseringsproblemer, eller proaktivt ved jevne mellomrom for full gjennomgang.
Analyze and improve Marp markdown presentations using SlideGauge. Use when working with Marp presentations, slide decks, or when user asks to check, analyze, improve, or validate slide quality.
Expert-level Looker BI, LookML, explores, dimensions, measures, dashboards, and data modeling
Expert-level Grafana dashboards, visualization, data sources, alerting, and production operations
Conducts Exploratory Data Analysis (EDA) on datasets. Use when the user asks to "explore", "clean", or "visualize" a new CSV or dataset.
Visualize audio frequency/time-domain data synchronized with React updates.
Use to assess and document risk factors for stories or features. Creates risk profiles with mitigation strategies.
Defines the standard output format for aggregated PR review reports. Use this skill to format the combined output from all review agents into a unified, actionable report.
Create production-ready Grafana dashboards for TRON team services including consumer dashboards, task metadata, RQ rules manager, and Kafka metrics. Use when building dashboards for task event consumers or RMS TRON services.
Merges multiple time-period behavior summaries into a unified current user profile. This skill should be used when synthesizing a complete user profile from different time periods for personalized emotional companionship and behavior analysis.
Sistema de Auditoria de Dados v5 para análise forense de arquivos distribuídos em múltiplas fontes (Google Drive, HD Externo, Notion). Inclui deduplicação, classificação e relatórios.
How to do research for benchmarking, financial and economic modeling, and other business analysis tasks.
Perform spatial analysis, geometry operations, and use ArcGIS REST services. Use for routing, geocoding, geoprocessing, elevation analysis, viewshed, and feature queries with statistics.
Auto-generate renderers, calculate statistics, and create data-driven visualizations. Use for class breaks, unique values, heatmaps, dot density, relationship maps, and getting histogram/summary statistics.
Generate and update HTML dashboards for LLM usage (Claude, Gemini, Kiro, VS code, Cline, etc). Use when the user wants to visualize their AI coding assistant usage statistics, view metrics in a web interface, or analyze historical trends.
Transform raw research into actionable insights that inform design decisions. Use during Define phase after completing research.
Master MongoDB aggregation pipeline for complex data transformations. Learn pipeline stages, grouping, filtering, and data transformation. Use when analyzing data, creating reports, or transforming documents.
Master statistical analysis with hypothesis testing, A/B testing, regression, and statistical methods for data-driven decisions.
Comprehensive spreadsheet creation, editing, and analysis with support
Formats markdown tables with fixed-width columns for consistent alignment. Use when creating tables, reformatting existing tables, or ensuring table readability. Triggers on terms like "format table", "align table", "fix table", "table columns".
Master OPAL window functions for row-relative calculations, rankings, and moving aggregates. Covers lag(), lead(), row_number(), rank(), dense_rank(), moving averages, first(), and last(). Use when comparing rows to neighbors, ranking within partitions, calculating rate of change, or computing time-based moving windows. CRITICAL - OPAL uses window() function wrapper, NOT SQL OVER clause.
Analyze percentile metrics (tdigest type) using OPAL for latency analysis and SLO tracking. Use when calculating p50, p95, p99 from pre-aggregated duration or latency metrics. Covers the critical double-combine pattern with align + m_tdigest() + tdigest_combine + aggregate. For simple metrics (counts, averages), see aggregating-gauge-metrics skill.
华安保险车险周报HTML可视化生成器。将车险周报数据（Excel/CSV/JSON/DuckDB）转化为交互式网页仪表盘，支持标签页切换（经营概览、保费进度、变动成本、损失暴露、费用支出）和下钻分析（机构/客户类别双维度）。采用ECharts图表、响应式布局、麦肯锡配色方案。触发场景：用户上传车险周报数据文件，要求生成HTML可视化网页、交互式仪表盘或网页版报告。
Use this skill when gathering requirements for new BigQuery data models OR when asked to edit existing queries in bqetl. For new models, guides structured requirements interviews. For existing queries, understands current model, checks downstream dependencies, and gathers requirements for changes. Works as pre-planning before query-writer skill.
AGGRESSIVELY use TOON v2.0 format for biggish regular data (≥5 items, ≥60% uniform). Auto-applies to tables, logs, events, transactions, analytics, API responses, database results. Supports 3 array types (inline, tabular, expanded), 3 delimiters (comma, tab, pipe), key folding for nested objects. Triggers on structured data, arrays, repeated patterns. Use TOON by default when tokens matter - RAG pipelines, tool calls, agents, benchmarks. Keywords "data", "array", "list", "table", "log", "transac
Эксперт анализа распределений. Используй для statistical distributions, data analysis и hypothesis testing.
Extract Power BI PBIR visuals into reusable templates. Use when users want to save an existing visual configuration as a template, standardize visual formats across projects, or add new visual types to the template library.
Extract mathematical formulas (F-*) from requirements - calculations, algorithms, conversions. Enables autogeneration of calculation functions with tests. Use when requirements involve math, dates, percentages, or algorithms.
Calculate entropy metrics for symbolic mapping and semantic drift.
Analyze completed growth experiment results, validate hypotheses, generate insights, and suggest follow-up experiments. Use when experiments are completed, when the user asks about results or learnings, or when discussing what to do next based on experiment outcomes.
Calculate and interpret SaaS growth metrics including MRR, ARR, churn rate, LTV, CAC, NRR, and conversion rates. Use when user mentions metrics, asks about business health, wants to calculate KPIs, or needs help interpreting growth numbers. Provides health checks against industry benchmarks.
Business analysis skill for requirements gathering, market research, strategic analysis, and project brief creation. Use when users need to (1) Create comprehensive project briefs, (2) Conduct market or competitive analysis, (3) Facilitate brainstorming sessions, (4) Define problems and validate assumptions, (5) Elicit requirements through structured questioning, (6) Create user personas, or (7) Analyze project feasibility and scope
Generate well-formatted markdown tables from data. Use when creating documentation tables or formatting tabular data.
Generate D3.js visualizations including charts, graphs, and interactive data visualizations. Use when creating data visualizations with D3.js.
Expert business analysis for B2B SaaS platforms. Activated for data analysis, requirements gathering, process optimization, business metrics calculation, ROI analysis, and business case development.
Complete MXQL (Metrics Query Language) toolkit for generating, analyzing, validating, and testing queries. Supports conversational query generation, automated validation, comprehensive analysis with optimization suggestions, and test query generation with sample data. Use this for all MXQL-related tasks including creating queries, debugging, optimization, and testing.
Lightning-fast DataFrame library written in Rust for high-performance data manipulation and analysis. Use when user wants blazing fast data transformations, working with large datasets, lazy evaluation pipelines, or needs better performance than pandas. Ideal for ETL, data wrangling, aggregations, joins, and reading/writing CSV, Parquet, JSON files.