Creative Skills

Diagnose ClickHouse INSERT performance, batch sizing, part creation patterns, and ingestion bottlenecks. Use for slow inserts and data pipeline issues.

Diagnose ClickHouse disk usage, compression efficiency, part sizes, and storage bottlenecks. Use for disk space issues and slow IO.

Design data analysis from purpose clarification to visualization. Use when analyzing data, exploring BigQuery schemas, building queries, or creating Looker Studio reports.

Expert guidance for Mermaid.js diagramming library. Create flowcharts, sequence diagrams, class diagrams, state diagrams, Gantt charts, git graphs, and block diagrams. Use when working with Mermaid syntax, creating diagrams, or visualizing complex concepts and workflows.

Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.

Database design, Query optimization, and Data integrity expert for SQL and NoSQL.

High-performance scientific charting and data analysis using SciChart Engine (WebGL).

Create, edit, analyze spreadsheets (.xlsx, .csv, .tsv). Use for Excel formulas, data analysis, visualization, formatting, pivot tables, charts, formula recalculation.

Design schemas, write queries for MongoDB and PostgreSQL. Use for database design, SQL/NoSQL queries, aggregation pipelines, indexes, migrations, replication, performance optimization, psql CLI.

Create diagrams with Mermaid.js v11 syntax. Use for flowcharts, sequence diagrams, class diagrams, ER diagrams, Gantt charts, state diagrams, architecture diagrams, timelines, user journeys.

Generate charts (line, bar) from data and save as image files.

Comprehensive data visualization skill covering visual execution and technical implementation. Includes perceptual foundations, chart selection, layout algorithms, and library guidance. Load on-demand when building charts, graphs, dashboards, or any visual data representation.

World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.

Guide revenue analysis using ChartMogul reports. Use when discussing MRR, ARR, churn, retention, cohorts, or subscription metrics. Helps select the right report and interpret results.

Statistical analysis toolkit for hypothesis testing, regression, correlation, Bayesian statistics, power analysis, and APA reporting. USE when conducting academic research, analyzing experimental data, testing hypotheses with t-tests or ANOVA, performing regression analyses, calculating effect sizes, checking statistical assumptions, or generating publication-ready statistical reports. Do not use for literature reviews, tool selection, or methodology design → see conducting-research skill.

Deep analysis of documentation/articles with practical application guidance. Use when user asks to "analyze and apply", "digest and implement", "read and integrate", or provides a document they want analyzed for implementation in the codebase.

Generate and execute SQL queries against the civitai_records PostgreSQL database to analyze video performance on Civitai. Use when users ask about: video engagement metrics (likes, hearts, comments), content performance analysis, tag/theme analysis, quality scores, weekly reports, comparing videos, content recommendations, trend analysis, or any Civitai data queries. Triggers: Civitai, video stats, engagement, likes, hearts, comments, weekly report, tag analysis, quality score, content strategy,

Execute high-density analysis on complex ideas/tasks. Move from 'Vague' to 'Verified' by producing: constraints -> core modules -> facts vs assumptions -> ASCII flow maps (boundary + critical path) -> latticework lens sweep -> micro->macro causal chains -> pre-mortem failure modes. Use when analyzing system architecture, validating technical ideas, or decomposing a thorny problem before designing solutions.

Visualization is communication. Chart selection, encoding hierarchy, accessibility, rendering performance. Use established algorithms - these problems are solved.

Create Mermaid diagrams for technical documentation, system design, and data modeling. Use when creating flowcharts, sequence diagrams, class diagrams, state diagrams, ER diagrams, Gantt charts, git graphs, or any other Mermaid-supported diagram type. Supports both creating new diagrams from descriptions and converting diagrams to SVG format for embedding in presentations or documents.

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.

This skill should be used when creating charts, graphs, dashboards, or data visualizations - covers chart type selection, D3.js patterns, Recharts usage, dashboard design principles, and data storytelling techniques for analytics-reporter and finance-tracker agents.

Create advanced cartographic symbols using CIM (Cartographic Information Model). Use for complex multi-layer symbols, animated markers, custom line patterns, and data-driven symbology.

Generate engineering analysis reports with interactive Plotly visualizations, standard report sections, and HTML export. Use for creating dashboards, analysis summaries, and technical documentation with charts.

Generates a rigorous experiment design given a hypothesis. Use when asked to design experiments, plan experiments, create an experimental setup, or figure out how to test a research hypothesis. Covers controls, baselines, ablations, metrics, statistical tests, and compute estimates.

Master user research with interviews, surveys, personas, journey mapping, and research synthesis for user-centered design.

Data warehouse (大数据/数仓) ops skill for designing and operating analytical data platforms. Use for tasks like defining source-of-truth, building ETL/ELT pipelines, dimensional modeling (star schema), data quality checks, partitioning strategies, cost/performance tuning, governance, lineage, and SLA monitoring.

Master Tableau development including calculated fields, LOD expressions, table calculations, and dashboard design

Master data visualization principles including chart selection, dashboard design, color theory, and data storytelling

Master data visualization with chart selection, dashboard design, Tableau, Power BI, and effective data storytelling.

Analyze Excel spreadsheets, create pivot tables, generate charts, and

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Create interactive data visualizations using D3.js for charts, graphs, maps, and custom visual analytics

Work with Interval datasets (time-bounded data) using OPAL. Use when analyzing data with start and end timestamps like distributed traces, batch jobs, or CI/CD pipeline runs. Covers duration calculations, temporal filtering, and aggregating by time properties. Intervals are immutable completed activities with two timestamps, distinct from Events (single timestamp) and Resources (mutable state).

Create data visualizations using various charting libraries. Use when visualizing data or creating interactive charts.

Provides expert design guidance for creating truthful, clear, beautiful data visualizations. Focuses on **DESIGN DECISIONS ONLY**—chart selection, color strategy, visual encoding, and validation. Assumes data is accurate and prepared. Auto-activates when user mentions: data viz, dashboard, chart type, visualization, infographic

Creates animated diagrams and professional infographics using Chart.js 4.x with: Auto-activates when user mentions: diagram, chart, graph, infographic, visualization, data visualization, data viz, line chart, bar chart, pie chart

World-class creation of valid, beautiful, and accessible Mermaid diagrams. Use when users request diagrams, flowcharts, sequence diagrams, entity relationship diagrams, state machines, Gantt charts, class diagrams, or any visual representation that can be expressed in Mermaid syntax. Handles all Mermaid diagram types with expert knowledge of syntax, styling, and best practices.

Provides architectural guidance for data lake design including partitioning strategies, storage layout, schema design, and lakehouse patterns. Activates when users discuss data lake architecture, partitioning, or large-scale data organization.

Comprehensive tool for creating D2 diagrams based on descriptions and requirements. This skill should be used when creating visual diagrams, system architectures, flowcharts, network topologies, data flows, or any visual representation that can be expressed as a diagram. Triggers include requests to "create a diagram," "visualize," "draw an architecture," "show relationships," or when converting textual descriptions into visual diagrams.