Anthropic Skills

Provide development estimates for tasks, features, or projects. Use when user asks for time estimates, effort assessment, or project sizing.

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Reasoning and planning framework. Defines task analysis, risk assessment, hypothesis forming. Applied automatically for complex requests.

A/B testing and content experimentation methodology for data-driven content optimization. Use when implementing experiments, analyzing results, or building experimentation infrastructure.

Data analysis, SQL queries, BigQuery operations, and data insights. Use for data analysis tasks and queries.

Database optimization, query tuning, migrations, and administration. Use for database performance issues, schema design, or operational tasks.

Create or improve AI productivity tips and guides for the Abacus dashboard. Use when writing new tips, editing existing tips, or reviewing tip content for quality. Ensures tips follow the established format with scenarios, prompts, and proper structure.

Deep line-by-line analysis of a function or method. Explains what each line does, why it's written that way, performance implications, edge cases, and design patterns. Use when user says "analyze-function", "analyze {function}", "deep dive on {function}", or "explain {function} line by line".

Discover patterns, distributions, and relationships in data through visualization, summary statistics, and hypothesis generation for exploratory data analysis, data profiling, and initial insights

Track and analyze user cohorts over time, calculate retention rates, and identify behavioral patterns for customer lifecycle and retention analysis

Create effective visualizations using matplotlib and seaborn for exploratory analysis, presenting insights, and communicating findings with business stakeholders

Identify groups and patterns in data using k-means, hierarchical clustering, and DBSCAN for cluster discovery, customer segmentation, and unsupervised learning

Design and analyze A/B tests, calculate statistical significance, and determine sample sizes for conversion optimization and experiment validation

Measure relationships between variables using correlation coefficients, correlation matrices, and association tests for correlation measurement, relationship analysis, and multicollinearity detection

Conduct statistical tests including t-tests, chi-square, ANOVA, and p-value analysis for statistical significance, hypothesis validation, and A/B testing

Analyze time-to-event data, calculate survival probabilities, and compare groups using Kaplan-Meier and Cox proportional hazards models

Use when user asks for digest ("дайджест", "саммари", "что нового", "digest", "summary") - fetches data via API and generates detailed analysis

Automatically discover database skills when working with SQL, PostgreSQL, MongoDB, Redis, database schema design, query optimization, migrations, connection pooling, ORMs, or database selection. Activates for database design, optimization, and implementation tasks.

Automatically discover data pipeline and ETL skills when working with ETL. Activates for data development tasks.

Automatically discover diagram and visualization skills when working with flowcharts, sequence diagrams, architecture diagrams, ER diagrams, Gantt charts, mindmaps, or any visual documentation using Mermaid.js. Activates for documentation and visualization tasks.

Use to model economics, tiers, and impact forecasts for loyalty programs.

Reporting template for tracking sentiment, risks, and advocacy signals

Use when consolidating product usage, health, and sentiment signals for

Use when designing dashboards, reports, and narratives for GTM stakeholders.

Use when interpreting company-level enrichment data to segment accounts, spot buying triggers, and tailor outreach.

Layout and storytelling guide for marketing analytics executive dashboards.

Use to catalog churn/expansion plays tied to specific signals, cohorts,

Use when measuring webinar funnel performance and diagnosing audience

Template pack for summarizing BI insights for ELT/board stakeholders.

Measurement system tracking engagement, health, and business impact of

Use when establishing measurement frameworks, dashboards, and optimization rhythms for live campaigns.

Visualization blueprint for revenue KPIs, guardrails, and action callouts.

Use to visualize churn, expansion, and health metrics across cohorts.

Visualization toolkit for mapping partner landscape, coverage, and priorities.

Use to craft concise revenue updates for executives and boards.

Best-practice kit for BI dashboard layout, storytelling, and adoption.

Automatically generate Excel reports from data sources including CSV, databases, or Python data structures. Supports data analysis reports, business reports, data export, and template-based report generation using pandas and openpyxl. Activate when users mention Excel, spreadsheet, report generation, data export, or business reporting.

Analyze user research data to uncover insights, identify patterns, and inform design decisions. Synthesize qualitative and quantitative research into actionable recommendations.

Debug database performance issues through query analysis, index optimization, and execution plan review. Identify and fix slow queries.

Monitor database performance and health. Use when setting up monitoring, analyzing metrics, or troubleshooting database issues.