Data & Analytics for Claude Code

Turn raw data into decisions with statistical rigor, proper methodology, and awareness of analytical pitfalls.

Data visualization, report generation, SQL queries, and spreadsheet automation. Transform your AI agent into a data-savvy analyst that turns raw data into actionable insights.

Detect anomalies and outliers in construction data: unusual costs, schedule variances, productivity spikes. Statistical and ML-based detection methods.

Track data origin, transformations, and flow through construction systems. Essential for audit trails, compliance, and debugging data issues.

Optional advanced tool for complex data modeling. For simple table creation, use relational-database-tool directly with SQL statements.

Profile construction data to understand characteristics, distributions, quality metrics, and patterns. Essential for data quality assessment and ETL planning.

Comprehensive database administration, schema management, data operations, and optimization. Use when Codex needs to: (1) Create or modify database tables with proper indexing, (2) Perform bulk data insertions with type safety and constraint handling, (3) Execute complex queries with JOINs, aggregations, and subqueries, (4) Optimize query performance through indexing and execution plan analysis, (5) Manage database backups, restores, and migrations, (6) Handle special data types (BIGINT, UUID, J

Web search without an API key using DuckDuckGo Lite via web_fetch. Use as a fallback when web_search fails with missing_brave_api_key error, or whenever you need to search the web and no search API is configured. Provides titles, URLs, and snippets for research queries. Zero dependencies — works with just the built-in web_fetch tool.

Query Developer Experience (DX) data via the DX Data MCP server PostgreSQL database. Use this skill when analyzing developer productivity metrics, team performance, PR/code review metrics, deployment frequency, incident data, AI tool adoption, survey responses, DORA metrics, or any engineering analytics. Triggers on questions about DX scores, team comparisons, cycle times, code quality, developer sentiment, AI coding assistant adoption, sprint velocity, or engineering KPIs.

本 Skill 基于东方财富权威数据库及最新行情底层数据构建，支持通过自然语言查询行情类数据（股票、行业、板块、指数、基金、债券的实时行情、主力资金流向、估值等）、财务类数据（上市公司基本信息、财务指标、高管信息、主营业务等）、关系与经营类数据（关联关系、企业经营数据）。避免模型基于过时知识回答金融数据问题，提供权威及时的金融数据。

本skill基于东方财富妙想搜索能力，基于金融场景进行信源智能筛选，用于获取涉及时效性信息或特定事件信息的任务，包括新闻、公告、研报、政策、交易规则、具体事件、各种影响分析、以及需要检索外部数据的非常识信息等。避免AI在搜索金融场景信息时，参考到非权威、及过时的信息。

TikTok Shop e-commerce data assistant. Search products, find trending items, analyze influencers, explore shops, track video performance, and get ad insights via ecomseer.com. Triggers: 找商品, 搜商品, 爆品, 带货, TikTok电商, 达人分析, 视频带货, 店铺分析, 广告素材, 销量榜, 跨境电商, search products, find trending, TikTok Shop, influencer analysis, shop data, ad creatives, sales ranking, e-commerce analytics, product research.

Query Radix DLT blockchain data including wallet balances and performance, token prices and market movers, validator staking info, transaction history, network statistics, ecosystem news, DeFi yield pools, XRD trading venues, dApp directory, and developer resources. Use when users ask about Radix, XRD, wallets starting with account_rdx, tokens starting with resource_rdx, staking, DeFi on Radix, .xrd domains, Attos Earn, or buying/bridging XRD.

Free AI search via Exa MCP. Web search for news/info, code search for docs/examples from GitHub/StackOverflow, company research for business intel. No API key needed.

Experiment Runner Agent

用于在特定学术数据库执行文献检索的Agent。通过浏览器自动化访问数据库检索页面。

用于在特定学术数据库执行文献检索的Agent。通过浏览器自动化访问数据库检索页面。

Query and create field observations and AI-processed captures. Photos, voice notes, and text notes from the field.

>- 风鸟企业数据查询引擎，用于查询中国企业的结构化工商、关系与风险信息，并在需要时生成报告、摘要等衍生输出。 当用户想查询企业基本信息（如法定代表人、注册号、统一社会信用代码、成立日期、注册地址、经营范围及基础联系方式）、股东结构、主要人员、对外投资、工商变更，或查询被执行人、失信被执行人、限制高消费、经营异常、严重违法、行政处罚等风险信息时使用。 也适用于合作方背景核查、供应商管理、客户风险识别等场景。支持输入企业简称并先做模糊搜索获取企业主体。

调用Finance Engine MCP服务器执行量化策略。当用户需要运行因子表达式策略、回测交易策略或执行金融分析时调用此技能。基于MCP Server工具的实际默认值设置。

Financial analysis skill for AI agents. Covers variance analysis, cash flow forecasting, month-end close automation, CFO commentary generation, 13-week cash flow dashboards, budget vs actual analysis, and financial statement review. Built by accounting professionals for agents that need to produce defensible financial outputs. Do NOT use for tax preparation, audit opinions, or regulatory filings — those require specialized compliance skills.

当需要调用Finloop资讯相关接口时，请参考此规范。包括市场时段资讯、资讯列表、AI热闻、股票行情等接口。

Web search and scraping via Firecrawl API. Use when you need to search the web, scrape websites (including JS-heavy pages), crawl entire sites, or extract structured data from web pages. Requires FIRECRAWL_API_KEY environment variable.

> Smart money research via Fomo social graph. Track top traders, monitor live trades, build watchlists — all from your agent. Powered by fomo.family, built by cope.capital. Use when: (1) user asks about smart money, whale wallets, or top traders, (2) user wants to track specific Fomo handles or crypto traders, (3) user asks "what are the best traders buying", "who's profitable on fomo", (4) user wants real-time trade alerts or wallet monitoring, (5) user says "fomo research", "check fomo", "smar

Query Google Places API (New) via the goplaces CLI for text search, place details, resolve, and reviews. Use for human-friendly place lookup or JSON output for scripts.

| Gork data API. Uses Grok model to analyze tweet comments, extract valuable intelligence from replies, and fetch latest community sentiment on projects or topics.

> Generate HK stock market morning report (股市晨報) for bank trading desks. Triggers: "生成晨报","股市晨报","今日股市","港股晨報" 推送：微信個人 + 飛書群 | 數據：騰訊財經+stcn.com+格隆匯+實時搜索

> 采集香港所有大学（含公立及私立共22所院校）的官方硕士项目招生信息， 包括学费、申请时间、截止日期、英语要求、项目详情及官方链接， 并输出为 Excel、Word、PDF、HTML 和 Markdown 五种格式。 仅使用大学官方数据源，严禁任何第三方信息。

v0.4.16 - Trade prediction markets (Polymarket, Kalshi) - positions, orders, risk management, Kelly sizing, wallet analytics, Monte Carlo, arbitrage, quantitative analytics, AFML (bars, labeling, fractional differentiation, HRP, denoising), multi-strategy orchestration, alpha research, tier-gated features, and market discovery.

Extract structured data from IFC (Industry Foundation Classes) files using IfcOpenShell. Parse BIM models, extract quantities, properties, spatial relationships, and export to various formats.

| 同花顺 iFinD (51ifind.com) 金融数据查询。支持 A 股/基金/债券/期货/指数的实时行情、历史行情、财务指标、宏观经济数据等 18 个 API 接口。 Chinese financial data query skill powered by THS iFinD (51ifind.com) API. Covers real-time quotes, historical data, financial indicators, macro economics, fund valuation, and more across 18 API endpoints for A-shares, funds, bonds, futures, and indices.

Extract data from construction images using AI Vision. Analyze site photos, scanned documents, drawings.

Korean patent / trademark / design search via KIPRIS Plus OpenAPI (특허청). Search patents (특허/실용신안), trademarks (상표), and designs (디자인) by keyword, applicant, or application/registration number. Returns clean JSONL for AI agents. Use for prior-art search, competitor IP monitoring, brand-name availability checks, M&A due diligence, and Korean IP analytics. Requires a free KIPRIS_PLUS_KEY from plus.kipris.or.kr.

| Complete Amazon FBA product research pipeline using the LaunchFast MCP. Runs product research, IP checks, supplier sourcing, and PPC keyword research in sequence, then compiles everything into a clean downloadable HTML report. USE THIS SKILL FOR: - "full research on [keyword]" - "research everything about [product]" - "give me a complete FBA opportunity report" - "run the full loop on [keyword]" Requirements: - mcp__launchfast__research_products - mcp__launchfast__ip_check_manage - mcp__launch

Cross-border e-commerce AI Agent with 41 specialized tools for Amazon/TikTok/eBay/Walmart product research, competitor analysis, keyword tracking, review insights, patent detection, trend analysis, 1688 sourcing, and AI image generation. Use when: (1) product selection and market analysis, (2) competitor research and ASIN lookup, (3) keyword and traffic analysis, (4) review mining and consumer insights, (5) patent/trademark/copyright detection, (6) Google/TikTok trend research, (7) 1688 supplier

Daily morning and evening intelligence digest for prediction market traders. Morning brief: Kalshi portfolio P&L, Polymarket trending markets, crypto prices — scannable in 30 seconds. Evening brief: lightweight market summary or AI-filtered news digest with two-stage Qwen materiality gate. Works standalone; unlocks additional sections automatically when paired with Kalshalyst (edges), Prediction Market Arbiter (divergences), and Xpulse (social signals). Hub of the OpenClaw Prediction Market Trad

This skill should be used when analyzing recent market-moving news events and their impact on equity markets and commodities. Use this skill when the user requests analysis of major financial news from the past 10 days, wants to understand market reactions to monetary policy decisions (FOMC, ECB, BOJ), needs assessment of geopolitical events' impact on commodities, or requires comprehensive review of earnings announcements from mega-cap stocks. The skill automatically collects news using WebSear

| 对指标波动进行综合归因诊断，定位导致指标变化的关键因子、维度和外部事件。当用户需要分析指标波动原因、定位指标变化的根因、做因子拆解归因（如 GMV = UV × 转化率 × 客单价）、或理解指标为什么涨跌时，必须使用此 Skill。 触发场景包括但不限于：用户提到"归因""归因分析""波动分析""波动归因""根因分析""根因""下钻分析""下钻归因""为什么涨了""为什么跌了""为什么下降""为什么增长""什么原因""哪个维度导致""贡献度分析""贡献度""因子拆解""因子分解""驱动因素""影响因素""变化原因""差异分析"，或用户对某个指标的变化表达了疑问、希望了解变化背后的原因时，都应使用此 Skill。 即使用户没有直接说"归因"二字，只要其意图是理解指标变化的原因或定位问题维度，也应触发此 Skill。 **重要：本 Skill 通过组合调用 Gateway API 获取指标数据，在本地进行归因计算，结合外部事件检索，最终输出综合归因诊断报告。构建查询前，必须先通过 Gateway API 检索相关指标和维度信息，禁止凭记忆猜测指标名或维度名。**

Operate Milvus vector database with pymilvus — collections, vector search, hybrid search, indexes, RBAC, partitions, and more via Python code.

MindsDB MCP服务器交互技能，用于通过自然语言查询和操作200+企业级数据源。当用户需要查询数据库、分析数据、创建AI模型、连接数据源（MySQL、PostgreSQL、MongoDB、Excel、CSV、Gmail、Slack等）、执行SQL查询、进行数据预测、构建知识库（RAG）、智能问答、文档检索或任何与数据库交互的任务时使用此技能。即使没有明确提到MindsDB，只要涉及数据库操作、数据分析、数据查询、知识库构建、AI问答或需要连接多个数据源的场景，都应该使用此技能。