Skills tagged data: 25 agent skills for Claude Code

• analytics — When the user wants to set up, improve, or audit analytics tracking and measurement.
• ashare-news-fetcher — 抓取 A 股消息面情报：从财联社、华尔街见闻、金十、新浪 7x24、东财快讯、 证监会/央行/上交所/财政部政策公告、东方财富股吧等公开来源抓取与股票相关的 新闻、政策、情绪，输出结构化 JSON 或 Markdown。 当用户提到“A 股消息面”、“抓新闻”、“个股消息”、“政策监管”、“股吧情绪”、.
• attribution — When the user wants to figure out which marketing actually drives conversions and revenue, choose or interpret an attribution model.
• aws-messaging-and-streaming — Guides general use of AWS messaging and streaming services.
• bigdata-skill — Pull Bigdata.com (RavenPack) financial and news data via the official `bigdata-client` SDK and `/v1/*` REST endpoints — structured financials, prices.
• bilibili-source — Fetch comprehensive, login-free data for any Bilibili (B站) video — title, UP name and follower count, publish date, partition, tags, per-part cids.
• competitor-profiling — When the user wants to research, profile, or analyze competitors from their URLs. ' Input is a list of competitor URLs.
• creating-data-lake-table — Create managed Iceberg tables using Amazon S3 Tables (s3tables API namespace) with automatic compaction and snapshot management.
• douban-skill — Export and sync Douban (豆瓣) book/movie/music/game collections to local CSV files via Frodo API.
• excel-automation — Create, parse, and control Excel files on macOS.
• exploring-data-catalog — Full inventory and audit of AWS Glue Data Catalog assets across S3 Tables, Redshift-federated, and remote Iceberg catalogs.
• financial-data-collector — Collect real financial data for any US publicly traded company from free public sources (yfinance).
• finding-data-lake-assets — Resolve data lake and lakehouse asset references across Glue Data Catalog, S3, S3 Tables, and Redshift.
• gemini-history-analyzer — Analyze Google Takeout exports of Gemini conversation history.
• ingesting-into-data-lake — Import data into the AWS data lake from S3 files, local uploads, JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS, Aurora), Amazon Redshift.
• kimi-use — Drive the Kimi desktop app (Kimi.app) through computer-use to query its built-in data plugins — 天眼查 company records, 同花顺 iFinD financials, 财新数据, 标普全球市场财智.
• managing-amazon-kinesis-data-streams — Operates Amazon Kinesis Data Streams (KDS).
• pandas-pro — Performs pandas DataFrame operations for data analysis, manipulation, and transformation.
• pharma-daily-report — 生成 A 股医药行业日报：从新浪财经抓取 20 只核心医药股实时行情，分析 7 大细分赛道排名、涨跌榜 TOP 3、资金流向，然后通过飞书发送富文本日报。 覆盖恒瑞医药、百济神州、智飞生物、药明康德、迈瑞医疗、片仔癀、云南白药等 20 只核心标的。 当用户需要 医药日报、医药行业日报、pharma daily.
• programmatic-seo — When the user wants to create SEO-driven pages at scale using templates and data.
• prospecting — When the user wants to find, qualify, and build a list of prospects to reach out to — across B2B SaaS, general B2B, or local small businesses.
• querying-data-lake — Execute and manage Athena SQL queries across default and federated catalogs (Glue, S3 Tables, Redshift).
• revops — When the user wants help with revenue operations, lead lifecycle management, or marketing-to-sales handoff processes.
• spark-engineer — Use when writing Spark jobs, debugging performance issues, or configuring cluster settings for Apache Spark applications.
• visual-explainer — Generate self-contained HTML visual explanations for systems, code changes, plans, data, and technical concepts.