Anthropic Skills
2689 skills. Last updated 2026-03-14
Discover and use Anthropic Skills to extend Claude's capabilities with creative, technical, and enterprise workflows.
Toolkit for comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. Use to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
Guide to analyze multiple documents (PDF, DOCX) against user-defined columns and produce a structured Excel output with citations. Use when the user wants to: (1) Extract specific information from multiple documents into a table, (2) Compare clauses or provisions across contracts, (3) Create a document review matrix with source citations. Triggers on: 'tabular review', 'document matrix', 'extract from documents', 'compare across documents', 'review multiple contracts'.
Toolkit for comprehensive Spreadsheet reading, creation, editing, and analysis with visual quality control. Use to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing tabular data, (3) Modifying existing spreadsheets while preserving formulas, (4) Building financial models with proper formatting, (5) Data visualization with in-sheet charts, or any other spreadsheet tasks.
Visualizes document relationships, identifies orphaned documents, and suggests missing connections.
Clean and transform messy data in Stata with reproducible workflows
Panel data analysis with Python using linearmodels and pandas.
Run regression analyses in Stata with publication-ready output tables.
Create publication-quality charts and graphs for economics papers.
Rate quality 0-10 with dimension breakdown, list pros/cons, compare alternatives with scores, suggest improvements with effort estimates. Use when evaluating code, designs, approaches, or asking "is this good?
Data visualization with Recharts 3.x including responsive charts, custom tooltips, animations, and accessibility for React applications. Use when building charts or dashboards with Recharts.
Use when visualizing architecture, data flows, or system diagrams in text. Creates ASCII visualizer diagrams for plans, workflows, and structures.
Security report aggregation. USE WHEN annual reports, security reports, threat reports.
Use dtctl CLI tool for querying observability data in Dynatrace via DQL (logs, metrics, traces, ...) and to manage Dynatrace platform resources (workflows, dashboards, notebooks, SLOs, settings, buckets, lookup tables).
Token-Oriented Object Notation (TOON) format expert for 30-60% token savings on structured data. Auto-applies to arrays with 5+ items, tables, logs, API responses, database results. Supports tabular, inline, and expanded formats with comma/tab/pipe delimiters. Triggers on large JSON, data optimization, token reduction, structured data, arrays, tables, logs, metrics, TOON.
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-performance serialization, validating data schemas, or converting between data formats.
Data visualization for charts and graphs. Use when user needs "η»εΎ/εΎθ‘¨/ε―θ§ε". Creates static PNG or interactive HTML charts from data.
This skill should be used when the user asks to "create indicator", "performance analytics", "PA", "KPI", "dashboard widget", "breakdown", "threshold", "scorecard", or any ServiceNow Performance Analytics development.
This skill should be used when the user asks to "create report", "dashboard", "chart", "visualization", "analytics", "scheduled report", "export data", or any ServiceNow reporting and dashboard development.
Process and analyze CSV, JSON, and text files with data transformation, cleaning, analysis, and visualization capabilities
Audit local analytics for bot traffic, referrer spam, and data quality. Use when investigating discrepancies between Fathom and local stats.
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", "markdown table".
Jobs to Be Done analysis to understand what customers really want. Use for product discovery, competitive analysis, or understanding why customers hire/fire solutions.
SWOT strategic analysis examining Strengths, Weaknesses, Opportunities, and Threats. Use for strategic planning, competitive analysis, career decisions, or evaluating opportunities.
Synthesize findings from multiple research sources into coherent insights. Use when combining data from different sub-agents or research threads.
Designs effective KPI dashboards with proper metric selection, visual hierarchy, and data visualization best practices. Use when building executive dashboards, creating analytics views, or presenting business metrics.
This skill provides guidance for counting tokens in datasets using specific tokenizers. It should be used when tasks involve tokenizing dataset content, filtering data by domain or category, and aggregating token counts. Common triggers include requests to count tokens in HuggingFace datasets, filter datasets by specific fields, or use particular tokenizers (e.g., Qwen, DeepSeek, GPT).
This skill provides guidance for analyzing log files across date ranges and producing summary statistics. Use when tasks involve parsing log files, counting log entries by severity (ERROR, WARNING, INFO), aggregating by date ranges (today, last N days, month-to-date), or producing CSV reports from log data.
This skill provides guidance for SQL query optimization tasks, including rewriting slow queries for better performance while preserving semantic equivalence. Use this skill when asked to optimize, improve performance of, or rewrite SQL queries, particularly when dealing with correlated subqueries, complex joins, or queries that need CTEs/window functions.
This skill provides guidance for merging data from multiple heterogeneous sources (CSV, JSON, Parquet, XML, etc.) into unified output formats with conflict detection and resolution. Use when tasks involve combining data from different file formats, field mapping between schemas, priority-based conflict resolution, or generating merged datasets with conflict reports.
Expert guidance for Dagster data orchestration including assets, resources, schedules, sensors, partitions, testing, and ETL patterns. Use when building or extending Dagster projects, writing assets, configuring automation, or integrating with dbt/dlt/Sling.
Create professional Grafana dashboards with visualizations, templating, and alerts. Use when building monitoring dashboards, creating data visualizations, or setting up operational insights.
Expert data analysis and manipulation for customer support operations using pandas
Performance benchmarking expertise for shell tools, covering benchmark design, statistical analysis (min/max/mean/median/stddev), performance targets (<100ms, >90% hit rate), workspace generation, and comprehensive reporting