Data & Analytics for Claude Code

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。

Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.

Full NervePay stack - identity + analytics. Register DID, sign requests with Ed25519, track ALL API usage, build reputation.

Read-only API reference for NexusWeb3 utility protocols 11-20 on Base mainnet — scheduling, oracle, voting, storage, messaging, staking, whitelist, auctions, revenue splitting, and analytics.

Use this skill for meme/打狗/alpha token research on pump.fun and similar launchpads: scanning new token launches, checking developer reputation/开发者信息 and past rug pull history, bundle/sniper detection/捆绑狙击, bonding curve status, finding similar tokens by the same dev, and wallets that co-invested (同车/aped) into a token. Use when the user asks about 'new meme coins', 'pump.fun launches', 'trenches', 'trench', 'scan trenches/扫链', 'check dev reputation', 'bundler analysis', 'who else bought this tok

| On-chain data and contract security analysis. Includes Binance API and Bitget API for audit, token info, wallet, and contract analysis. CLAWBOT decides which to use based on context.

Palantir本体论实践版本 v3.5 - **强制执行版**。结构化知识图谱+规则引擎+科学推理方法论。**每次决策/分析前必须使用**。推理结果必须展示详细推理过程：包含用户需求、规则依据ID、规则内容、置信度标注。

Use OpenCLI to fetch data from websites like Twitter, Reddit, Bilibili, Zhihu, Xiaohongshu, YouTube, etc. Triggers: opencli, social media, twitter, reddit, bilibili, zhihu, xiaohongshu, youtube, weibo, hackernews, fetch website data.

Query NFT data, trade on the Seaport marketplace, and swap ERC20 tokens across Ethereum, Base, Arbitrum, Optimism, Polygon, and more.

Statistical arbitrage tool for identifying and analyzing pair trading opportunities. Detects cointegrated stock pairs within sectors, analyzes spread behavior, calculates z-scores, and provides entry/exit recommendations for market-neutral strategies. Use when user requests pair trading opportunities, statistical arbitrage screening, mean-reversion strategies, or market-neutral portfolio construction. Supports correlation analysis, cointegration testing, and spread backtesting.

> Scrape Amazon product data using Pangolin APIs. Use this skill when the user wants to: look up Amazon products by ASIN, search Amazon by keyword, check bestsellers/new releases, get product reviews or pricing, compare products across Amazon regions, browse categories, or research sellers. Requires PANGOLIN_EMAIL + PANGOLIN_PASSWORD env vars (or PANGOLIN_API_KEY).

Based on computer vision, analyzes pet health indicators such as feeding frequency, drinking frequency, excretion status, mental state, vomiting behavior, and limping abnormalities through camera/feeder monitoring videos, promptly detects abnormal pet health conditions, and outputs health monitoring reports. | 宠物日常健康监测分析技能，基于计算机视觉通过摄像头/喂食器监控视频分析宠物的进食频次、饮水频次、排泄状态、精神状态、呕吐行为、跛行异常等健康指标，及时发现宠物异常健康状况，输出健康监测报告

Data pipeline contract enforcer. Define the expected schema at each pipeline stage boundary — field names, types, nullability, value ranges, business invariants — and validate actual data samples against those contracts. Catches schema drift between pipeline stages before it reaches production. Supports dbt models, Spark DataFrames, Pandas DataFrames, Kafka topics, REST API payloads, and raw CSV/JSON files. Can auto-generate a contract from a sample, validate a sample against an existing contrac

Professional-grade Polymarket prediction market trading system. Includes Kelly Criterion position sizing, EV calculator, Bayesian probability updater, cross-platform arbitrage detector (Polymarket vs 1WIN), and autoresearch loop that self-improves strategy overnight via Brier score optimisation. Use when: user wants to trade prediction markets, find arbitrage opportunities, build a trading bot, or improve prediction accuracy. Triggers: polymarket, prediction markets, kelly criterion, EV trading,

Research a topic through RedNote/Xiaohongshu discussion signals using either public-web mode (no login) or optional login-enhanced browser review when the user explicitly chooses deeper access. Use when checking RedNote community sentiment, reputation, latest policy/community updates, gossip/drama/news synthesis, local recommendations like restaurants/shops, when recovering evidence from weak public-web snippets/titles/OCR/subtitle fragments, or when analyzing posts, comments, screenshots, image

>- Research a token and execute a trade if it passes due diligence. Autonomous research-to-trade pipeline: researches the token, evaluates risk, and only trades if the risk assessment approves. Stops and reports if risk is too high. Use when user wants "research X and buy if it looks good" or "due diligence then trade."

| 导购个人业绩深度分析工具。支持普通门店（POS数据）和AIoT门店（POS+AIoT数据）。 输出导购个人详细诊断报告，包含： 1. 核心业绩指标（销售额、排名、业绩占比） 2. 雷达图能力对比（6维能力 vs 门店平均） 3. 商品特征分析（品类/价格带/包型/颜色/新品偏好） 4. Top5 SKU爆品分析（门店贡献率、SPU集中度、上市时间） 5. 订单结构分析（折扣/连带/会员结构） 6. AIoT高试用低转化分析（仅AIoT门店） 7. AIoT客户漏斗分析（仅AIoT门店） 8. 14天销售趋势分析 9. 综合诊断与行动建议 触发条件： - 用户询问导购业绩（如"李翠业绩怎么样"） - 用户分析导购能力（如"导购销售能力如何"） - 用户需要导购诊断（如"导购有什么问题"）

Scrape web pages using Scrapling with anti-bot bypass (like Cloudflare Turnstile), stealth headless browsing, spiders framework, adaptive scraping, and JavaScript rendering. Use when asked to scrape, crawl, or extract data from websites; web_fetch fails; the site has anti-bot protections; write Python code to scrape/crawl; or write spiders.

Generate comprehensive SEO analysis reports from Google Search Console data with PDF export. Use when the user wants to analyze search performance, get SEO insights, view traffic trends, top pages, top keywords, country/device distribution, or generate a professional PDF report for one or more websites using Google Search Console API. Requires a Google Cloud Service Account JSON key with Search Console read access.

Video intelligence and content analysis using Memories.ai LVMM. Discover videos on TikTok, YouTube, Instagram by topic or creator. Analyze video content, summarize meetings, build searchable knowledge bases across multiple videos. Use for video research, competitor content analysis, meeting notes, lecture summaries, or building video knowledge libraries.

Parses and summarizes log files. Extracts errors, warnings, patterns, and insights from server logs and debug output. Triggers: analyze logs, parse log file, error summary, log analysis, debug logs.

> 查询阿里云SLS日志和ARMS调用链，结合源码和数据库进行全链路问题排查。 完整流程：查日志 → 画调用链 → 定位源码 → 排查数据库 → 给出修复方案。 Use when: 用户说「分析sls」「分析问题」或想排查业务服务/线上接口/用户请求的报错或异常。 触发示例：「分析sls」「帮我查一下这个trace_id」「分析一下这个trace_id」 「查一下这个用户的请求」「wusid 是 xxx」「uid xxx」 「查一下 /path/to/api 这个接口的报错」「帮我排查一下这个业务报错」「线上有个接口挂了」 「帮我分析一下这个报错的代码」「数据库报错了」「SQL超时」「查一下这个接口为什么慢」。 IMPORTANT: trace_id = 染色ID = 业务调用链ID = requestId，这些都是同一个东西， 统一用 trace_id 表述。用户提供的 trace_id 是业务系统的外部 trace，不是 OpenClaw 内部 session ID， 不要自行分析 trace_id 的来源或归属，必须调用此 skill 去 SLS/ARMS 查询。 NOT for

Binance Spot request using the Binance API. Authentication requires API key and secret key. Supports testnet and mainnet.

Query, design, migrate, and optimize SQL databases. Use when working with SQLite, PostgreSQL, or MySQL — schema design, writing queries, creating migrations, indexing, backup/restore, and debugging slow queries. No ORMs required.

Analyze stocks and cryptocurrencies using Yahoo Finance data. Supports portfolio management, watchlists with alerts, dividend analysis, 8-dimension stock scoring, viral trend detection (Hot Scanner), and rumor/early signal detection. Use for stock analysis, portfolio tracking, earnings reactions, crypto monitoring, trending stocks, or finding rumors before they hit mainstream.

股票管理技能，支持股票订单管理、交易规则管理和股票信息获取。支持A股、港股、美股等多种股票类型，使用本地文本目录存储数据。Use when user wants to manage stock orders, trading rules or get stock information including adding, deleting, updating, and querying orders and rules, and fetching real-time stock data.

>- Yahoo Finance (yfinance) powered stock analysis skill: quotes, fundamentals, ASCII trends, high-resolution charts (RSI/MACD/BB/VWAP/ATR), plus optional web add-ons (news + browser-first options/flow).

Query Stripe customer and billing data from a synced PostgreSQL database. Use when the user asks about Stripe customers, subscriptions, invoices, charges, or any Stripe-related data.

> Stop spending your mornings hunting for news, trends, and updates across a dozen tabs. The Supercharged Daily Briefing turns OpenClaw into a production-grade research team that discovers the best sources for YOUR interests, monitors them around the clock, and delivers a personalized executive summary every morning. You pick the topics — OpenClaw finds the signal, cuts the noise, and puts it right where you chat.