Anthropic Skills
2689 skills. Last updated 2026-03-17
Discover and use Anthropic Skills to extend Claude's capabilities with creative, technical, and enterprise workflows.
View detected patterns from CYNIC observations and anomalies. Use when asked to show patterns, list anomalies, view trends, or see what CYNIC has learned from past judgments.
Agentic medical analyst that explores extracted documents iteratively like a real physician - forming hypotheses, seeking evidence, cross-referencing, and building comprehensive analysis through multiple exploration cycles.
Calculate and track key performance indicators (KPIs) from pilot data and defined metrics. Use when deriving success metrics, benchmarking performance against objectives, or preparing quantitative reports and dashboards.
Technical patterns for generating professional PDF reports and documentation for heat pump surveys.
Create new blog posts and data analyses for the Data Blog. Use when the user wants to create a new blog post, add a new analysis, or set up a new data visualization. This includes creating the content.mdx file with proper frontmatter, setting up the directory structure (data/, results/, src/), and implementing dashboard components with charts, tables, and maps.
Expert guidance on creating accurate, visually polished Mermaid diagrams for architecture documentation.
This skill should be used when the user asks about "key startup metrics", "SaaS metrics", "CAC and LTV", "unit economics", "burn multiple", "rule of 40", "marketplace metrics", or requests guidance on tracking and optimizing business performance metrics.
Identifies and filters test/dummy revenue data from real customer transactions across all revenue streams (affiliates, gallery, subscriptions).
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs 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
Cross-source metric validation and discrepancy investigation. Use when metrics from different sources don't match, investigating data quality issues between systems, or validating data migration accuracy.
Systematic investigation of metric changes and anomalies. Use when a metric unexpectedly changes, investigating business metric drops, explaining performance variations, or drilling into aggregated metric drivers.
Expert database design, queries, and optimization for both SQL (Neon serverless PostgreSQL) and NoSQL (MongoDB) databases. Use when designing database schemas, writing queries, creating migrations, optimizing performance, adding indexes, integrating with ORMs (Prisma/SQLAlchemy/Mongoose), modeling data relationships, or any database-related tasks including CRUD operations, joins, aggregations, transactions, and connection management.
Expert people analytics covering workforce analytics, HR metrics, predictive modeling, employee insights, and data-driven HR decisions.
Comprehensive data quality assessment against defined business rules and constraints. Use when validating data against expected schemas, checking referential integrity across tables, or auditing data pipeline outputs before production use.
Create comprehensive semantic layer documentation for analytics assets. Use when documenting data models, defining business metrics, creating data dictionaries, or building context for AI-assisted analysis.
Evaluates investment risks, performs Monte Carlo simulations, and generates risk reports. Use when analyzing portfolio risk, stress testing, or regulatory compliance.
Evaluate AI systems for fairness using demographic parity, equalized odds, and bias detection techniques with mitigation strategies.
Orchestrate V2 transaction MDX documentation coverage and quality tracking
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Codex needs 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
CRITICAL for ALL mathematical and numerical operations including arithmetic, percentages, averages, and DATE/CALENDAR calculations (day of week, date differences, time calculations). MANDATORY when user asks to calculate, compute, solve expressions, determine dates, or perform any numeric analysis.
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.
Trading dashboard P&L visualization with profit tracker integration, win-rate overlays, R-multiples, and configurable settings
Use RSPress built-in components and MDX features in documentation. Use when adding interactive elements like tabs, badges, steps, callouts, or code groups to documentation pages.
ROADMAP.md analysis and management. Use for finding pending tasks and updating completion status.
Help craft efficient Grafana Loki / LogQL queries for debugging logs — with label‑based filtering, narrow time windows, and best‑practice guidance to avoid expensive or overly broad scans.
CellChat cell-cell communication analysis toolkit - complete documentation with precise file name-based categorization
SpatialData framework for handling spatial multi-modal and multi-scale data. Use this skill for questions about spatial omics data analysis, visualization, and the SpatialData Python ecosystem.
Create D3 questions with static line graphs and coordinating table inputs. Students read graphs and fill in corresponding values.
Multi-agent data science framework using DS-STAR (Data Science - Structured Thought and Action) architecture. Automates data analysis through collaborative AI agents with multi-model support (Haiku, Sonnet, Opus). Use for exploratory data analysis, automated insights, and iterative data science workflows.
Specialized skill for migrating Excel-based construction project management data to web platform. Use when the user needs to transform, validate, or migrate data from Excel systems including Plan Start Sheets (40 plans, 567 options), PDSS workflows, job coordination data, contract tracking, time entries (3,355+ records), or subdivision data (31 subdivisions). Also use for data structure design, ETL pipeline creation, and data validation for construction workflows.
Provides quick reference for BI Dashboard (Plotly Dash) commands and operations. Activates when user asks how to run, test, or verify the BI Dashboard. Includes startup, shutdown, verification, and troubleshooting procedures.
Use this skill when users need to create complex stateful D&R rules that correlate multiple events over time, track parent-child relationships, or count event occurrences within timeframes.