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Help recreate Our World in Data (OWID) charts (line, bar, bubble) as faithfully as possible in this repo’s Jupyter notebooks, using pandas + Matplotlib (and Plotly when requested), with correct data,

Process JSON, YAML, CSV, and XML data (jq, yq, awk).

Telegram DM sending from CSV, rate limiting, idempotency

Read, write, append, and list local files in the session's working directory. Use when you need to persist output to disk, read input files, or manipulate file system safely. Supports text files, JSON, CSV, Markdown.

Scrape a public Letterboxd user's watchlist into a CSV/JSONL list of titles and film URLs without logging in. Use when a user asks to export, scrape, or mirror a Letterboxd watchlist, or to build watch-next queues.

这是一个用于检测文本敏感信息的 Skill，通过调用 UCAP 平台的安全防护接口，快速识别文本内容中的敏感数据，适用于内容审核、数据合规等场景。

AI-powered B2B lead scoring model. Predicts conversion probability for potential customers using machine learning (LightGBM + SHAP). CSV upload or API integration.

You are a senior FP&A professional. You build financial models, run variance analysis, produce board-ready reports, and turn raw numbers into strategic decisions. You work with whatever data the user

- `daily` = `摸鱼日报`

Interpret CSV, JSON, and structured data, extract insights, identify patterns, and recommend appropriate visualizations.

Track leads locally, manage outreach campaigns, and export as CSV for download.

专业股票分析技能整合 akshare 数据 + 技术指标 + 板块轮动 + 持仓诊断。通过 AKShare CLI 调用A股/基金/期货实时行情数据，计算MACD/RSI/MA等技术指标，分析板块轮动趋势，诊断持仓风险与收益，输出结构化JSON结果。适用场景：股票行情查询、技术指标分析、持仓组合诊断、板块热点追踪、财经数据统计。触发关键词：分析股票、今日行情、持仓诊断、推荐股票、今日财经、股票代码、涨跌幅、北向资金。无需API密钥，直接调用 akshare 获取A股/基金/期货实时数据。

安全的 Excel/CSV 文件处理技能，支持读取、写入、清洗、转换和合并表格数据。**本版本已移除任意代码执行功能，使用安全的 exceljs 库替代有漏洞的 xlsx 库。**

Double-entry, full-cycle accounting suite built for AI agents. Converts bank CSVs, OFX, and QBO files into balanced, auditable books — balance sheet, income statement, general ledger, trial balance. All data stays in a single local SQLite file.

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Upload any data file (CSV, Excel, JSON, SQL export) and get a complete analysis report with insights, anomalies, and actionable recommendations — no code required.

Use this skill when Alex says:

AutoSkills - 智能AgentSkills自动检测与安装系统。自动检测项目类型（Web/Python/学术/金融等），推荐并安装对应的AgentSkills。触发词：autoskills、项目类型检测、智能安装。

3-in-1 China 12306 query — tickets, route stops, transfer plans. Zero login. Filter 高铁/动车/火车 by type, time, duration. Pure Python, text/json/csv output. 火车票/余票/经停站/中转换乘.

Create project timeline visualizations for grant proposals

天眼查招投标数据查询工具 - 基于浏览器自动化技术批量查询企业招投标/中标公示信息，导出结构化 CSV 报表。支持 macOS 和 Windows 跨平台运行。

Create beautiful maps in seconds. Geocode addresses, visualize GeoJSON/CSV data, search places, and build shareable map URLs. No GIS skills needed. Agents earn points for contributions.

每日统计 DataWorks 任务运行情况，成功/失败汇总，失败任务告警

工作进度检查技能 - 定期检查待办事项 + 子代理超时/消失检测与自动恢复 + 全量会话监控

Analyze bank transactions, categorize spending, track monthly budgets, detect overspending and anomalies. Outputs interactive HTML report.

Financial analysis and research workflows for market research, equity research, comparable companies, precedent transactions, and DCF valuation. Use when asked to build or critique DCF models, comps/precedents tables, competitor or strategy analysis, market sizing, or to deliver analyst-ready outputs in Excel, PowerPoint, or Markdown from CSV/Excel/SQL/API/web data.

Analyze AWS Cost & Usage Reports to identify top cost drivers, waste, and anomalies across all linked accounts

交互式数据清洗 CLI，支持自动类型推断、缺失值处理、重复检测

Data processing pipelines for OpenClaw. Deploy skills from the Expanso marketplace to transform, analyze, and process data locally.

Sentiment analysis for brands and products across Twitter, Reddit, and Instagram. Monitor public opinion, track brand reputation, detect PR crises, surface complaints and praise at scale — analyze 70K+ posts with bulk CSV export and Python/pandas. Social listening and brand monitoring powered by 1.5B+ indexed posts.

与 Quicker 自动化工具集成，读取、搜索和执行 Quicker 动作列表。支持 CSV 和数据库双数据源，智能匹配用户需求并调用本地 QuickerStarter 执行。

处理 Office 文档（Word/Excel/PPT/PDF）的技能。当用户要求读取、创建、编辑 Word 文档（.docx）、Excel 表格（.xlsx/.csv）、PPT（.pptx）或 PDF 时使用。基于 python-docx、openpyxl、python-pptx、pypdf 库。Requires: python-docx, openpyxl, python-pptx, pypdf, pandoc, LibreOffice（验证用）。

Convert PDF bank statements to CSV/JSON.

AKShare财经数据接口库封装，提供股票、期货、期权、基金、外汇、债券、指数、加密货币等金融产品的基本面数据、实时和历史行情数据、衍生数据。

trading-coach

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批量处理 Excel 文件的自动化工具，支持合并、拆分、格式转换、数据清洗等操作。

Read analysis results. Use when user asks about maximum stress, extracting displacements, reaction forces, or exporting results. Post-processes ODB files.

When the user needs to set up multiple academic courses in a learning management system (Canvas/LMS) from structured data sources. This skill automates the entire workflow extracting course schedules from emails/attachments, matching instructors from CSV files, creating courses, enrolling teachers, publishing announcements with class details, uploading syllabi, enabling resource sharing for instructors teaching multiple courses, and publishing all courses. Triggers include course schedule setup, Canvas/LMS administration, academic term preparation, instructor assignment, syllabus distribution, and multi-course management.

Advanced analytics including machine learning, predictive modeling, and big data techniques

Complete guide for Apache Spark data processing including RDDs, DataFrames, Spark SQL, streaming, MLlib, and production deployment

Implement comprehensive audit logging for all admin actions, capturing user ID, action type, entity changes, IP address, and user agent. Use when tracking system activities or adding audit trails.

Batch effect correction for CRISPR screens. Covers normalization across batches, technical replicate handling, and batch-aware analysis. Use when combining screens from multiple batches or correcting systematic technical variation.

Implement robust batch processing systems with job queues, schedulers, background tasks, and distributed workers. Use when processing large datasets, scheduled tasks, async operations, or resource-intensive computations.

Analyzes bear-put-spread debit spreads for bearish directional plays with defined risk. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting moderate price decline, comparing put spread configurations, analyzing debit spread opportunities, or evaluating defined-risk bearish positions on mid to large-cap stocks.

Compare and analyze contractor bids. Score proposals, identify scope gaps, and recommend selections.

Apache Spark, Hadoop, distributed computing, and large-scale data processing for petabyte-scale workloads

Query Danish real estate data from Boliga.dk as pandas DataFrames. Use when the user asks about Danish property prices, real estate searches, market statistics, or housing analysis in Denmark.

Price fixed income securities using present value, yield-to-maturity, and market conventions. Handles treasuries, corporates, municipals with various coupon frequencies. Requires numpy>=1.24.0, pandas>=2.0.0, scipy>=1.10.0. Use when valuing bonds, calculating accrued interest, or analyzing price sensitivity to yield changes.