Anthropic Skills

Provides expert database analysis, schema design review, and query optimization assessment. Use this skill when the user needs database architecture evaluation, query performance analysis, or data integrity review. Triggers include requests for database audit, schema review, query optimization, or when asked to evaluate database patterns. Produces detailed consultant-style reports with findings and prioritized recommendations — does NOT write implementation code.

Test at extremes (1000x bigger/smaller, instant/year-long) to expose fundamental truths hidden at normal scales

Analiza Task Briefs y Phase Briefs para proveer insights, comparaciones y recomendaciones de mejora iterativa.

Use when "SHAP", "Shapley values", "feature importance", "model explainability", or asking about "explain predictions", "interpretable ML", "feature attribution", "waterfall plot", "beeswarm plot", "model debugging

Use when "Polars", "fast dataframe", "lazy evaluation", "Arrow backend", or asking about "pandas alternative", "parallel dataframe", "large CSV processing", "ETL pipeline", "expression API

Generate HTML reports, charts, and dashboards with neo-brutal design. Use for creating GitHub activity reports, Fieldy summaries, Skillz analytics, and other data visualizations.

Structured, reproducible analysis documentation. Use when documenting analysis findings, creating analysis notebooks, ensuring reproducibility, or building analysis archives for future reference.

Use this agent when analyzing code for performance issues, optimization opportunities, or scalability concerns. Triggers on requests like "performance review", "check for bottlenecks", "scalability analysis".

Expert data engineering covering data pipelines, ETL/ELT, data warehousing, streaming, and data quality.

Create, edit, and analyze Excel spreadsheets with formulas, charts, pivot tables, and data analysis (Official Anthropic skill)

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Analyzes financial statements, calculates key metrics, and generates investment reports. Use when reviewing earnings, building DCF models, or comparing company financials.

Guides performance analysis and optimization for any application. Use when diagnosing slowness, optimizing code, improving load times, or when asked about performance.

Extract and prepare study data for meta-analysis including effect size calculation, variance estimation, and handling missing data. Use when users need to convert reported statistics into analyzable format or calculate effect sizes from raw data.

Screen Loggerのログ分析と日報生成。専用スクリプトを使用して分析を実行。

Data scientist specializing in startup analytics, user behavior tracking, and metrics analysis for Lean Startup and Customer Development methodologies. Use when analyzing user data, setting up analytics, measuring validation metrics, cohort analysis, or when user asks about tracking, metrics, data analysis, or measuring startup hypotheses.

Connect to and inspect data sources. Use this skill when you need to verify data access, inspect table schemas, check row counts, or understand the structure of a dataset before performing analysis.

Design, standardize, and implement ECharts-based visualizations and themes for InsightPulseAI dashboards, Superset plugins, and OpEx UI (AntD + M3 + ECharts).

Crear diagramas Mermaid compatibles con Obsidian (flowchart, sequence, gantt). Evita errores comunes y produce diagramas simples y mantenibles.

This skill should be used when the user asks about "code complexity", "cyclomatic complexity", "cognitive complexity", "code metrics", "maintainability index", "code coverage", or when measuring code quality quantitatively. Provides metrics thresholds and measurement techniques.

Create sophisticated economic data analyses and visualizations for higher education stakeholders using FRED (Federal Reserve Economic Data). Use this skill when users request: (1) Analysis of student loan debt, unemployment by education level, or earnings data, (2) Dashboard or visual presentations of higher ed economic indicators, (3) Narrative reports on higher education ROI or economic value, (4) Data-driven communications for institutional stakeholders (trustees, enrollment management, finan

Guide for AI agent to use the tools offered by this library to perform analytic tasks.

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

Analyze the CustomGPT.ai Labs Innovation workbook and cost tracking data to surface portfolio-level insights, trends, and recommendations for where to focus Innovation efforts.

This skill should be used when the user asks "Chart.js axes", "Chart.js scales", "Chart.js x-axis", "Chart.js y-axis", "Chart.js time axis", "Chart.js logarithmic scale", "Chart.js axis labels", "Chart.js ticks", "Chart.js grid lines", "Chart.js multiple axes", "Chart.js dual axis", "Chart.js axis title", "Chart.js axis range", "Chart.js min max", "stacked axes", "Chart.js radial axis", or needs help configuring Chart.js v4.5.1 axes and scales.

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

Database maintenance and health checks. Use when user needs migration safety, data integrity, index optimization, or says "check database", "optimize DB", "migration rollback", "data consistency", "database health".

Generate DuckDB SQL queries. Use when user asks about DuckDB queries, data analysis, exploring .ddb database files, CSV files, Parquet files, wants help editing/improving SQL, asks to use the duckdb skill, references duckdb assets, or wants to initialize/setup duckdb analysis.

Generate actionable insights from transaction data. Use when implementing insight generators, anomaly detection, or data analysis features for financial/tax tracking applications.

Generate architecture, sequence, state, and ERD diagrams for code understanding. Use when user wants to visualize code structure or document systems.

Expert guidance for creating syntactically correct and well-structured Mermaid diagrams following best practices. Use when creating flowcharts, sequence diagrams, class diagrams, state diagrams, Gantt charts, ER diagrams, data lineage visualizations, or any other Mermaid visualization.

Help craft efficient Mimir/Prometheus queries, troubleshoot metric issues, avoid high-cardinality problems, and recommend best practices for aggregation, recording rules, and performance.

[REPLACE] Search for patterns, analyze findings, generate structured reports. Use when [REPLACE with specific triggers].

Generates professional markdown comparison report with tables, executive summary, and verdict by use case. Use when user asks to 'generate report', 'create comparison report', 'synthesize comparison', 'write comparison', or when orchestrator has completed all data collection. Creates structured report with specs tables, pros/cons, pricing analysis, and actionable recommendations.

Analyzes distributed systems using Prometheus (PromQL), Loki (LogQL), and Tempo (TraceQL). Constructs efficient queries for metrics, logs, and traces. Interprets results with token-efficient structured output. Use when debugging performance issues, investigating errors, analyzing latency, or correlating observability signals across metrics, logs, and traces.

Create onboarding, training, documentation, and enablement flows for admins, data teams, and business users of the InsightPulse Superset Data Lab.

Design, organize, and operate Deepnote projects as the InsightPulseAI Data Lab workspace for exploration, jobs, and Superset-ready summary tables.

Process vehicle insurance Excel data using Pandas - file handling, data cleaning, merging, validation. Use when processing Excel/CSV files, handling data imports, implementing business rules (negative premiums, zero commissions), debugging data pipelines, or optimizing Pandas performance. Keywords: data_processor.py, Excel, CSV, Pandas, merge, deduplication, date normalization.

Audience for the analysis (e.g., execs, squad).

Creates STRUCTURED summary.md in each daily folder. Analyzes chat conversations and generates actionable summaries with "Što je uradio" and "Što bi trebao da uradi" sections per person. Use for daily reports and activity tracking.