全部能力

Analyze datasets and turn them into narrative reports with charts, audits, comparisons, and statistical summaries. Use for exploratory analysis and…

G6 v5 图可视化代码生成技能，支持网络图、树形图、流程图等多种图类型的初始化、布局、交互和插件配置

Use this skill to analyze an existing PostgreSQL database and identify which tables should be converted to Timescale/TimescaleDB hypertables. **Trigger when user asks to:** - Analyze database tables for hypertable conversion potential - Identify time-series or event tables in an existing schema - Evaluate if a table would benefit from Timescale/TimescaleDB - Audit PostgreSQL tables for migration to Timescale/TimescaleDB/TigerData - Score or rank tables for hypertable candidacy **Keywords:** hypertable candidate, table analysis, migration assessment, Timescale, TimescaleDB, time-series detection, insert-heavy tables, event logs, audit tables Provides SQL queries to analyze table statistics, index patterns, and query patterns. Includes scoring criteria (8+ points = good candidate) and pattern recognition for IoT, events, transactions, and sequential data.

Analyze datasets with a decision-first workflow. Use when the user needs to inspect CSV/JSON/Parquet/SQL extracts, validate data quality, explain trends, compare segments, summarize experiment or telemetry results, or turn raw tables into evidence-backed findings — even if they ask in domain language like KPI, retention, funnel, cohort, revenue, campaign, export, dashboard data, or game telemetry. Choose the right lane (spreadsheet-scale triage, SQL slicing, notebook/statistical analysis, or stakeholder-ready summary) and hand off cleanly to dashboard, anomaly-detection, or implementation skills when needed.

Monitor injury news across leagues. Fantasy impact analysis, backup player analysis, return timeline estimates.

PostHog event tracking standards for Supabase Studio. Use when reviewing

Use when generating or regenerating Drizzle migration files, changing database schema tables or columns, resolving migration sequence conflicts after rebase,…

Triage Antithesis test reports to understand what happened in a run: look up runs, check status, investigate failed properties (assertions), view metadata, download logs, inspect findings, and examine environmental details. Load after a run completes or when investigating a failure.

Create Apple-inspired bento grid presentation cards for showcasing project stats, timelines, and achievements. Generates self-contained HTML files with zero-gap grids, stat cards, pill tags, bar charts, and dark quote cards — optimized for screenshot export. Supports both light (Apple signature #f5f5f7) and dark (#000) themes. Use when the user asks to build stat cards, bento grids, project summary cards, dashboard cards, Apple-style presentation layouts, project overviews, achievement showcases, or any visual summary of numbers and milestones. Also use when the user wants to create slides, infographics, or visual reports with a clean Apple aesthetic.

Knowledge about pyecharts chart creation, HTML report generation, and visualization best practices

Data journalism workflows for analysis, visualization, and storytelling. Use when analyzing datasets, creating charts and maps, cleaning messy data,…

Detects and redacts Personally Identifiable Information (PII) like emails, phone numbers, and credit cards. Use when cleaning logs, datasets, or communications…

Quantify realized risk from historical data using volatility estimators, drawdown analysis, and downside risk metrics. Use when the user asks about historical…

Transform raw data from CSVs, Google Sheets, or databases into executive-ready reports with visualizations, key metrics, trend analysis, and actionable…

Use for creating publication-quality charts and multi-panel analysis summaries. Triggers when tasks involve visualizing data, plotting results, creating…

自动化数据探索和可视化工具，提供从数据加载到专业报告生成的完整EDA解决方案。支持多种图表类型、智能数据诊断、建模评估和HTML报告生成。适用于医疗、金融、电商等领域的数据分析项目。

Professional consulting-style data visualization and infographics creation skill for strategic analysis and executive presentations. Create high-density, boardroom-ready visualizations in McKinsey/BCG style with institutional authority and editorial financial-report aesthetics. Covers 11 visualization types (including cover slides), detailed color palettes with hex codes, aspect ratio standards, prompt engineering templates, and strategic framing guidance for insight-driven deliverables.

Expert-level Looker BI, LookML, explores, dimensions, measures, dashboards, and data modeling

SQL optimization for OLTP systems: EXPLAIN analysis, indexing, schema design, migrations, HA, and security across major SQL platforms.

Use when the user asks about token prices, charts, holders, trending tokens, pair data, prediction markets, or any on-chain analytics from Codex. Also use when building GraphQL queries against https://graph.codex.io/graphql. TRIGGERS: token price, token chart, trending tokens, pair data, holders, prediction markets, Polymarket, Kalshi, event odds, prediction event, prediction traders, trader leaderboard, trader PnL, prediction charts, outcome probability, open interest, prediction categories, betting markets, market resolution, prediction positions, prediction trades