Agent Skill
Excel Large File Processing And Cleaning skill
excel-large-file-processing-and-cleaningOpenSenseNova/SenseNova-Skillsskills/sn-da-excel-workflow/capability/excel-reading/structured-header-reading/SKILL.md
读取多 sheet Excel 文件，动态识别目标列进行统计，并使用正则清洗文本字段提取中文字符，最终输出标准化 Excel 文件。
always on
42 tokname + description
once used
528 tokSKILL.md body
bundled files
0
repo stars
5.8kGitHub
Install the Excel Large File Processing And Cleaning skill
Skills CLI (Claude Code, Codex, Cursor and others)
npx skills add https://github.com/OpenSenseNova/SenseNova-Skills --skill excel-large-file-processing-and-cleaning
Claude Code, by hand (all projects)
git clone --depth 1 https://github.com/OpenSenseNova/SenseNova-Skills.git /tmp/SenseNova-Skills mkdir -p ~/.claude/skills cp -R /tmp/SenseNova-Skills/skills/sn-da-excel-workflow/capability/excel-reading/structured-header-reading ~/.claude/skills/excel-large-file-processing-and-cleaning
For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.
What it costs your context
Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.
| When | What loads | Cost |
|---|---|---|
| Every session | Name and description | 42 tok |
| When the agent uses it | The SKILL.md instructions | 528 tok |
| Only if opened | No bundled files | — |
Until it is used, excel-large-file-processing-and-cleaning costs about 32× less than the median MCP server we measured (1,362 tokens on every turn). Installing all 83 skills from OpenSenseNova/SenseNova-Skills would load 5,827 tokens of descriptions. Skills vs MCP study
Checks
- The name doesn't match its folder name, as the specification requires.
Checked 2026-10-22 · method
What's inside
The headings of its SKILL.md. Read the full file on GitHub.
- Skill Steps
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