Anthropic Skills

Create comprehensive user journey maps that identify pain points, opportunities, and emotional states across touchpoints. Use when mapping user experiences or analyzing conversion flows.

Analyzes conversation to extract learnings and integrate into skill library or rules. Consolidates experiences into reusable knowledge. Use when completing significant work, resolving complex problems, or discovering reusable patterns.

TD Trino SQL with TD-specific functions (td_interval, td_time_range, td_time_string, td_sessionize). Use for time-based filtering, partition pruning, and TD query patterns.

Executes tdx CLI commands for Treasure Data. Covers `tdx databases`, `tdx tables`, `tdx query`, `tdx auth setup`, context management with profiles/sessions, and output formats (JSON/TSV/table). Use when users need tdx command syntax, authentication setup, database/table exploration, or query execution.

Create and manipulate Microsoft Excel workbooks programmatically. Build spreadsheets with formulas, charts, conditional formatting, and pivot tables. Handle large datasets efficiently with streaming mode.

Provides CollectionView alternatives for AvaloniaUI using DataGridCollectionView and ReactiveUI. Use when filtering, sorting, or grouping collections in AvaloniaUI applications.

Cross-validation specialist for comparing OrcaWave and AQWA diffraction

Generate visualizations from OrcaFlex simulations including model views,

Create proper tables in Google Slides presentations using the Slides API. Use when building tabular data, metrics, comparisons, or any slide that needs rows and columns.

Use when optimizing database queries, indexes, N+1 problems, slow queries, or analyzing query performance. Triggers on keywords like "slow query", "N+1", "index", "query optimization", "database performance", "eager loading".

Matomo (Piwik) analytics platform API. Use for web analytics, tracking implementation, reporting API integration, plugin development, PHP/JavaScript tracking clients, and database schema understanding.

Create publication-quality scientific diagrams using AI with smart iterative refinement. Uses AI quality review. Only regenerates if quality is below threshold for your document type. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visualizations.

Create new community metrics by adding enum values, recording functions, wiring, backfill migrations, and API integration. Use when adding new community metrics, creating metrics, or tracking community activity.

Create Mermaid diagrams in Obsidian including flowcharts, sequence diagrams, class diagrams, and more. Use when visualizing processes, system architectures, workflows, or any structured relationships in Obsidian notes.

Create interactive Desmos graphs in Obsidian using desmos-graph code blocks. Use when visualizing functions, parametric curves, inequalities, or mathematical relationships with customizable styling and settings.

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This skill should be used when users need to write, review, or debug Stata code for data cleaning and analysis. Use this skill for tasks involving data import, variable management, data documentation, merging/appending datasets, creating analysis variables, and following IPA/DIME Analytics coding standards. This skill should be invoked when working with .do files, .dta files, or any Stata-related data processing tasks.

Perform signal processing, rainflow cycle counting, and spectral analysis

Use when the user mentions 'HEPData' or asks to find experimental data, download data tables from HEP papers, get digitized plots, or retrieve cross-section measurements. HEPData contains data points behind figures in high-energy physics publications.

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Expert assistance for importing data to Treasure Data using the JavaScript SDK. Use this skill when users need help with browser-based event tracking, page analytics, client-side data collection, or implementing TD's JS SDK for web applications.

TD workflow debugging and operations. Covers tdx wf commands for monitoring (sessions, attempt, logs), retry/backfill patterns, alerting (_error with Slack/email), and data quality checks.

Treasure Workflow (digdag) for TD. Covers .dig syntax, session variables (session_date, session_date_compact), td> operator, _parallel/_retry/_error directives, and tdx wf commands.

Use when estimating time, effort, or complexity for features or projects - provides structured estimation workflows with breakdowns, risks, and confidence intervals.

dbt with TD Trino. Covers profiles.yml setup (method:none, user:TD_API_KEY), required override macros (no CREATE VIEW), TD_INTERVAL in models, and TD Workflow deployment.

TD Trino performance optimization including CTAS (5x faster), UDP bucketing for ID lookups, magic comments for join distribution, REGEXP_LIKE vs LIKE, and approx functions.

TD Hive SQL with TD-specific functions and Hive-only features (lateral view, explode, MAPJOIN hint). Use when Trino memory errors occur or for Hive-specific syntax.

Convert Trino queries to Hive when memory errors occur. Covers syntax differences (td_time_string→TD_TIME_FORMAT, REGEXP_LIKE→RLIKE, ARRAY_AGG→COLLECT_LIST) and engine selection.

Product interaction and UX expert. Use when reviewing UI/UX, conducting heuristic evaluations, designing user journeys, applying cognitive psychology principles, or ensuring WCAG 2.2 accessibility compliance.

Generate custom reports, query reports, and script reports for Frappe applications. Use when creating data analysis and reporting features.

Comprehensive database design tool creating complete schemas with tables, fields, indexes, and ER diagrams. Use when users request database design for any system. Generates Markdown docs, SQL scripts, and DrawDB-compatible JSON/DBML files. Supports MySQL, PostgreSQL, SQL Server. Triggers: database design, schema, ER diagram, SQL, data model. | 全面的数据库设计工具，创建完整的数据库架构。触发词：数据库设计、数据库架构、ER图、SQL、数据模型、表设计。

SQLMesh patterns for data transformation with column-level lineage and virtual environments. Use when building data pipelines that need advanced features like automatic DAG inference and efficient incremental processing.

Core documentation generation patterns and framework for Treasure Data pipeline layers. Provides shared templates, quality validation, testing framework, and Confluence integration used by all layer-specific documentation skills.

Expert documentation generation for golden layers. Detects SCD types, documents business rules, metric definitions, aggregation logic, and data quality scoring. Use when documenting golden layer tables.

Expert documentation generation for hist-union workflows. Documents historical and incremental table combination strategies, schema validation, time-based partitioning, and backfill processes. Use when documenting hist-union layers.

Expert documentation generation for staging transformation layers. Auto-detects SQL engine (Presto/Trino vs Hive), documents transformation rules, PII handling, deduplication strategies, and data quality rules. Use when documenting staging transformations.

Professional Plotly visualization best practices for Field Agents including chart specifications, color palettes, formatting standards, and JSON structure requirements for executive-ready data visualizations

Expert assistance for using pytd (Python SDK) to query and import data with Treasure Data. Use this skill when users need help with Python-based data analysis, querying Presto/Hive, importing pandas DataFrames, bulk data uploads, or integrating TD with Python analytical workflows.

Comprehensive Microsoft Excel (.xlsx) document creation, editing, and