xlsx: agent skill — from anthropics/skills.
Best for the cleanup-validate-analyze loop on real-world spreadsheets — inconsistent date formats, mixed types in "numeric" columns, hidden merged cells, schemas that change row-by-row. Reads the file, surfaces structural issues before they corrupt downstream analysis. Strongest on messy production-data scenarios. Skip it for clean exported data; that's just pandas.
真实世界电子表格的「清洗-验证-分析」循环下它最有用——日期格式不一、「数字」列里混了字符串、隐藏的合并单元格、每行 schema 都在变。读完文件先把结构问题摆出来，免得污染下游分析。生产环境脏数据场景最强。干净导出数据别用它，那种场景普通 pandas 就够。
Use npx skills add to install this skill into the selected agent. Phase 0 commands are generated from source rules, not verified.
npx skills add https://github.com/anthropics/skills/blob/main/skills/xlsx/SKILL.md -g -a codex -yDrop `-g` to install project-locally
graphify: agent skill — from safishamsi/graphify.
customer research: agent skill — from coreyhaines31/marketingskills.
Research what people actually say about any topic in the last 30 days. Pulls posts and engagement from Reddit, X, YouTu…
| this skill · 当前xlsx | graphify | customer research | last30days | |
|---|---|---|---|---|
| Rating · 评分 | — | — | — | — |
| Stars · 星标 | 132k | 46k | 28k | 25k |
| Risk · 风险 | Low risk · 低风险 | Low risk · 低风险 | Low risk · 低风险 | Low risk · 低风险 |
| Best for · 最适合 | High-star GitHub skill discovery candidate. | graphify: agent skill — from safishamsi/graphify. | customer research: agent skill — from coreyhaines31/marketingskills. | Research what people actually say about any topic in the last 30 days. Pulls posts and engagement from Reddit, X, YouTu… |
| Not for · 不适合 | Sensitive or production workflows without local review. | Workflows that require stronger human review than this catalog entry documents. | Workflows that require stronger human review than this catalog entry documents. | Workflows that require stronger human review than this catalog entry documents. |