Query, model, and analyze data — SQL and beyond.
Query, model, migrate, and analyze data without leaving your editor. This spans SQL generation and optimization, schema design and migrations, connectors for Postgres and other engines, dataframe and analytics workflows, and pipeline tooling. Many are MCP servers, which means your agent can inspect a live schema rather than guessing at column names.
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用于搜索金融市场、证券、上市公司基本面、价格、K 线、披露文件、财经新闻、A 股数据、港股或全球 ticker，可使用 yfinance、mootdx、API 脚本或 browser-use。
用于搜索中文社交平台，包括 B站视频、知乎问答、小红书笔记、微博帖子和抖音视频。部分平台需要 cookie 认证。
This skill should be used when the user asks to "test for SQL injection vulnerabilities", "perform SQLi attacks", "bypass authentication using SQL injection", "extract database information through injection", "detect SQL injection flaws", or "exploit database query vulnerabilities". It provides comprehensive techniques for identifying, exploiting, and understanding SQL injection attack vectors across different database systems.
Use when researching China market, industry, macro, trade, procurement, listed-company disclosure, regulation, IP, healthcare, logistics, energy, environment, or industrial-operation information using free official sources with no registration, no API key, and no cryptocurrency data.
USE FOR Google-backed image discovery via Serper.dev. Returns image URLs, page URLs, titles, and source domains.
This skill should be used when the user asks to "automate SQL injection testing," "enumerate database structure," "extract database credentials using sqlmap," "dump tables and columns from a vulnerable database," or "perform automated database penetration testing." It provides comprehensive guidance for using SQLMap to detect and exploit SQL injection vulnerabilities.
用于查找代码示例、开源项目、GitHub Issue、技术问答、开发者讨论、HuggingFace 模型/数据集/Space。
Translate natural language to SQL, optimize query performance, and interpret EXPLAIN plans for SQLite and PostgreSQL. Triggered when users ask to convert questions into SQL, improve slow queries, tune indexes, analyze execution plans, or mention keywords like NL2SQL, query tuning, or full table scan.
Run comprehensive quality checks on tabular data (CSV/Excel/TSV/JSON), detecting missing values, duplicates, outliers, format issues, and type inconsistencies to produce an overall score, grade, and actionable suggestions. Triggered when users ask to check data quality, find missing or duplicate values, detect outliers, validate formats, profile data, or clean data.
Use when creating or updating a Tabularis database driver plugin in Rust. Covers modern manifest fields, JSON-RPC over stdio, modular plugin layout, MySQL-level feature coverage targets, optional UI extensions, and validation against Tabularis repo rules.
Explore SQLite and PostgreSQL databases: list tables, inspect schemas (columns/types/constraints), preview data, generate Mermaid ER diagrams, and run safe read-only queries. Triggered by requests to explore a database, view table structures, describe tables, generate diagrams, or query data, and by keywords like database exploration, schema, ER diagram, or SQL query.
Use when investigating slow queries, analyzing execution plans, or optimizing database performance. Invoke for index design, query rewrites, configuration tuning, partitioning strategies, lock contention resolution.
Use when reviewing a Tabularis pull request locally — checking code quality against the repo's own rules, verifying the PR's claims, running its tests on the correct branch, and preparing real test data plus a manual test plan for the human. Use when the user says 'review PR #N', 'lass uns PR reviewen', 'check this PR', or wants to test a PR with real data before merging.
Generate publication-quality PNG chart images from data, supporting line, bar, area, candlestick, pie, and heatmap charts. Triggers when the user asks to visualize data, create a graph, plot a time series, or generate a chart for a report, alert, or dashboard. Runs as a lightweight, headless Node.js process without a browser.
Generate self-contained HTML/SVG infographics from JSON data, including stat cards, bar charts, flow diagrams, and mixed dashboards. Offers 8 color palettes and built-in icons with no external dependencies. Triggered when users request data visualization, infographics, charts, or dashboards.
Excel MCP Server for manipulating Excel files
Unit-aware computation with Pint - convert units, dimensional analysis, unit arithmetic
Computational geometry with Shapely - create geometries, boolean operations, measurements, predicates
Minimal, token-efficient Database MCP Server for PostgreSQL, MySQL, SQL Server, SQLite, MariaDB
Create, evaluate, and iterate on high-quality agent skills with structured guidance, quality scoring, and best-practice enforcement.
External API data — sentiment via Adanos, comprehensive data via Funda AI, Hormuz Strait monitoring, TradingView desktop reader, and Hyperliquid perp/spot reader.
Postgres best practices maintained by Supabase, for Postgres running anywhere. Load this skill BEFORE writing or changing anything that lives in a Postgres database: creating or altering tables and columns (including choosing column types), schema design, migrations and declarative schema files, RLS policies and the tests that verify them, indexes, triggers, database functions, queues and scheduled jobs (pgcron, pgmq), vector/semantic search (pgvector), and restoring dumps (pgrestore) or importing data. Also load it when diagnosing slow queries, high CPU, timeouts, EXPLAIN plans, connection exhaustion, locking, bloat, or rows visible to the wrong user or tenant. This is not just a performance guide — schema, migration, security, and SQL authoring tasks need these rules too, even for a one-column change or a single query.
Stock analysis, earnings, estimates, correlations, liquidity, ETFs, options payoff, and trading strategies via yfinance.
Read-only social media and research feeds — Twitter/X, Discord, LinkedIn, Telegram, Y Combinator, plus a generic opencli fallback covering 90+ finance/research sources (Yahoo Finance, Bloomberg, Reuters, Eastmoney, Xueqiu, Reddit, HackerNews, Substack, arXiv, etc.).
Aggregate and rank signals from multiple edge-finding skills (edge-candidate-agent, theme-detector, sector-analyst, institutional-flow-tracker) into a prioritized conviction dashboard with weighted scoring, deduplication, and contradiction detection.
Multi-perspective startup analysis frameworks for VC investors, job applicants, and founders.
Analyze historical downtrend durations and generate interactive HTML histograms showing typical correction lengths by sector and market cap.
Build and open FinViz screener URLs from natural language requests. Use when user wants to screen stocks, find stocks matching criteria, filter by fundamentals or technicals, or asks to open FinViz with specific conditions. Supports both Japanese and English input (e.g., "高配当で成長している小型株を探したい", "Find oversold large caps with high ROE").
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This skill should be used when analyzing market breadth charts, specifically the S&P 500 Breadth Index (200-Day MA based) and the US Stock Market Uptrend Stock Ratio charts. Use this skill when the user provides breadth chart images for analysis, requests market breadth assessment, positioning strategy recommendations, or wants to understand medium-term strategic and short-term tactical market outlook based on breadth indicators. Also works WITHOUT chart images by fetching CSV data directly from public sources. All analysis and output are conducted in English.
Screen US stocks using William O'Neil's CANSLIM growth stock methodology. Use when user requests CANSLIM stock screening, growth stock analysis, momentum stock identification, or wants to find stocks with strong earnings and price momentum following O'Neil's investment system.
MCP server and Claude plugin for Postgres skills and documentation.
Use this skill to track institutional investor ownership changes and portfolio flows using 13F filings data. Analyzes hedge funds, mutual funds, and other institutional holders to identify stocks with significant smart money accumulation or distribution. Helps discover stocks before major moves by following where sophisticated investors are deploying capital.
This skill retrieves upcoming earnings announcements for US stocks using the Financial Modeling Prep (FMP) API. Use this when the user requests earnings calendar data, wants to know which companies are reporting earnings in the upcoming week, or needs a weekly earnings review. The skill focuses on mid-cap and above companies (over $2B market cap) that have significant market impact, organizing the data by date and timing in a clean markdown table format. Supports multiple environments (CLI, Desktop, Web) with flexible API key management.
MCP server and Claude plugin for Postgres skills and documentation.
Analyze recent post-earnings stocks using a 5-factor scoring system (Gap Size, Pre-Earnings Trend, Volume Trend, MA200 Position, MA50 Position). Scores each stock 0-100 and assigns A/B/C/D grades. Use when user asks about earnings trade analysis, post-earnings momentum screening, earnings gap scoring, or finding best recent earnings reactions.
Validate data quality in market analysis documents and blog articles before publication. Use when checking for price scale inconsistencies (ETF vs futures), instrument notation errors, date/day-of-week mismatches, allocation total errors, and unit mismatches. Supports English and Japanese content. Advisory mode -- flags issues as warnings for human review, not as blockers.
MCP server and Claude plugin for Postgres skills and documentation.
Monitor dividend portfolios with Kanchi-style forced-review triggers (T1-T5) and convert anomalies into OK/WARN/REVIEW states without auto-selling. Use when users ask for 減配検知, 8-Kガバナンス監視, 配当安全性モニタリング, REVIEWキュー自動化, or periodic dividend risk checks.
Fetch upcoming economic events and data releases using FMP API. Retrieve scheduled central bank decisions, employment reports, inflation data, GDP releases, and other market-moving economic indicators for specified date ranges (default: next 7 days). The script outputs raw JSON or text; the assistant filters, assesses impact, and generates the Markdown report.
MCP server and Claude plugin for Postgres skills and documentation.
MCP server and Claude plugin for Postgres skills and documentation.
MCP server and Claude plugin for Postgres skills and documentation.
Comprehensive PostGIS spatial table design reference covering geometry types, coordinate systems, spatial indexing, and performance patterns for location-based applications
MCP server and Claude plugin for Postgres skills and documentation.
MCP server and Claude plugin for Postgres skills and documentation.
MCP server and Claude plugin for Postgres skills and documentation.
PostgreSQL documentation and best practices through semantic search and curated skills, including TimescaleDB and Tiger Cloud ecosystem tools.