Anthropic Skills

Journaling partner that helps extract deeper meaning from daily logs. Use when the user wants to review their day, process logs into journal entries, or mentions "daily review".

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This skill should be used when the user asks to "get Census data", "query American Community Survey", "find ACS data", "get population by state", "query Decennial Census", "find Census variables", "get median income data", "download demographic data", "Census API query", "get housing data from Census", or mentions US Census Bureau data (demographics, income, poverty, education, housing, population estimates, etc.).

Automated pattern recognition in Claude Code telemetry. Use when detecting failures, slowness, anomalies, trends, inefficiencies, conversation patterns, or tool sequences.

Query and analyze Claude Code observability data (metrics, logs, traces). Use when analyzing performance, costs, errors, tool usage, sessions, conversations, or subagents.

Use this skill when you want to learn about generating high-quality insights that will be automatically captured. Insights using the "★ Insight" format are automatically extracted by hooks - no manual saving required.

レポートコンパイルエージェント - 分析結果のMarkdownファイルを統合HTMLレポートに変換。/compile-report [出力パス] で呼び出し。

Master color management and visual styling with Colorcet. Use this skill when selecting appropriate colormaps, creating accessible and colorblind-friendly visualizations, applying consistent themes, or customizing plot aesthetics with perceptually uniform color palettes.

Generate Excalidraw diagrams. Use when creating flowcharts, ER diagrams, sequence diagrams, block diagrams, or any .excalidraw files.

Master AI-powered natural language data exploration with Lumen AI. Use this skill when building conversational data analysis interfaces, enabling natural language queries to databases, creating custom AI agents for domain-specific analytics, implementing RAG with document context, or deploying self-service analytics with LLM-generated SQL and visualizations.

Architecture design templates, mermaid diagrams, documentation patterns, and validation tools. Use when designing system architecture, creating architecture documentation, generating mermaid diagrams, documenting component relationships, designing data flows, planning deployments, creating API architectures, or when user mentions architecture diagrams, system design, mermaid, architecture documentation, or component design.

Compact single-cell analysis patterns with AnnData and Scanpy. Essential patterns for QC, preprocessing, clustering, and visualization.

Parallel metrics collection using G-6 SIGNAL. Deploy 6 probes to gather metrics from all sources for data-driven decisions.

Systematic data quality remediation - detect duplicates/outliers/inconsistencies, design cleaning strategy, execute transformations, verify results (component skill for DataPeeker analysis sessions)

Use when working with SQLite databases in DataPeeker analysis sessions - querying data, importing CSVs, exploring schemas, formatting output, or optimizing performance. Provides task-oriented guidance for effective SQLite CLI usage in data analysis workflows.

Prompt testing, metrics, and A/B testing frameworks

Master high-performance rendering for large datasets with Datashader. Use this skill when working with datasets exceeding 100M+ points, optimizing visualization performance, or implementing efficient rendering strategies with rasterization and colormapping techniques.

You are a data-savvy and insightful Analytics Reporter. You are an expert at pulling data from various sources (like Google Analytics, Mixpanel, and application databases), analyzing it, and presenting it in a way that is easy for non-technical stakeholders to understand. You are proficient in SQL and data visualization tools like Looker, Tableau, or Google Data Studio.

ScalarDB Analytics設計エージェント - ScalarDB Analyticsを使用した分析基盤の設計。Apache Sparkベースの分析クエリ、マルチDB横断分析を策定。/design-scalardb-analytics [対象パス] で呼び出し。

GraphDB可視化エージェント - RyuGraphデータベースの内容をMermaid/DOT/HTML形式で可視化。/visualize-graph [出力パス] で呼び出し。

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Analyze datasets, generate charts, and create summary reports. Use when the user needs to work with CSV, Excel, or other tabular data formats for analysis or visualization.

Detects anomalies in time series data using TimeGPT. Identifies outliers, level shifts, and trend breaks without model training. Use when identifying anomalies, outliers, or unusual patterns in time series. Trigger with "detect anomalies", "find outliers", "anomaly detection".

[Design System] Quantitative accessibility audit for UI - contrast ratios, font sizes, tap targets, heading hierarchy. Use when (1) checking WCAG color contrast compliance, (2) auditing text sizes for readability, (3) validating touch/click target sizes, (4) reviewing heading structure and landmarks, (5) user asks to 'check accessibility', 'audit contrast', 'WCAG compliance', or 'a11y check'.

Analyze Nixtla baseline forecasting results (sMAPE/MASE on M4 or other

[Aesthetics] Extracts recurring visual patterns from references: contrast habits, shapes, density/whitespace balance, rhythm, textures. Produces Aesthetic Pattern Library as Data-Sheet nodes in Brain canvas.

Analytical thinking patterns for comprehensive evaluation, code audits, security analysis, and performance reviews. Provides structured templates for thorough investigation with extended thinking support.

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Create publication-quality scientific figures with matplotlib, seaborn, and plotly. Includes multi-panel layouts, error bars, significance markers, colorblind-safe palettes, and journal-specific export (PDF/EPS/TIFF). Use when creating figures for manuscripts, presentations, or any research visualization.

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

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

This skill calculates key financial ratios and metrics from financial statement data for investment analysis

Python tools for analyzing Instruments traces and performance data

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Create interactive Chart.js visualizations for DST data analysis. Use when generating charts, creating visual reports, building dashboards, or displaying trends from database tables.

Search and list Danmarks Statistik tables by subject or keyword. Use when user needs to find specific tables or browse tables within a subject area.

Guide for discovering and integrating with Rubin Science Platform (RSP) APIs using OpenAPI specifications. Use this skill when working with Gafaelfawr authentication APIs (/auth/*), Times Square notebook APIs (/times-square/api/*), or other RSP services. Covers finding OpenAPI specs, using WebFetch to download specifications, creating TypeScript types from schemas, implementing SWR-based hooks, handling authentication patterns (CSRF tokens, credentials), and creating mock APIs for development.