CSV and Excel Merger
OneWave-AI/claude-skills
Combines CSV, TSV and Excel files into one verified table with pandas, by stacking or joining, mapping columns, normalizing keys and removing duplicates.
对 Excel 数据进行数值格式标准化与清洗,支持大规模数据的 Parquet 转换流程,并完成关键指标的合计核对与结果文件导出。
$ npx skills add MichaelYang-lyx/AIDABench --skill numeric-format-normalization -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install MichaelYang-lyx/AIDABench numeric-format-normalization --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/MichaelYang-lyx/AIDABench.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sn-da-excel-workflow/capability/excel-data-cleaning/numeric-format-normalization .claude/skills/numeric-format-normalization && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "numeric-format-normalization" agent skill from https://github.com/MichaelYang-lyx/AIDABench/tree/main/skills/sn-da-excel-workflow/capability/excel-data-cleaning/numeric-format-normalization into .claude/skills/numeric-format-normalization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "numeric-format-normalization", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/MichaelYang-lyx/AIDABench/tree/main/skills/sn-da-excel-workflow/capability/excel-data-cleaning/numeric-format-normalizationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add MichaelYang-lyx/AIDABench --skill numeric-format-normalization -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install MichaelYang-lyx/AIDABench numeric-format-normalization --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MichaelYang-lyx/AIDABench.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/sn-da-excel-workflow/capability/excel-data-cleaning/numeric-format-normalization .agents/skills/numeric-format-normalization && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "numeric-format-normalization" agent skill from https://github.com/MichaelYang-lyx/AIDABench/tree/main/skills/sn-da-excel-workflow/capability/excel-data-cleaning/numeric-format-normalization into .agents/skills/numeric-format-normalization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "numeric-format-normalization", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add MichaelYang-lyx/AIDABench --skill numeric-format-normalization -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install MichaelYang-lyx/AIDABench numeric-format-normalization --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MichaelYang-lyx/AIDABench.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/sn-da-excel-workflow/capability/excel-data-cleaning/numeric-format-normalization .cursor/skills/numeric-format-normalization && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "numeric-format-normalization" agent skill from https://github.com/MichaelYang-lyx/AIDABench/tree/main/skills/sn-da-excel-workflow/capability/excel-data-cleaning/numeric-format-normalization into .cursor/skills/numeric-format-normalization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "numeric-format-normalization", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/MichaelYang-lyx/AIDABench.git --path skills/sn-da-excel-workflow/capability/excel-data-cleaning/numeric-format-normalization--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add MichaelYang-lyx/AIDABench --skill numeric-format-normalization -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install MichaelYang-lyx/AIDABench numeric-format-normalization --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MichaelYang-lyx/AIDABench.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/sn-da-excel-workflow/capability/excel-data-cleaning/numeric-format-normalization .gemini/skills/numeric-format-normalization && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "numeric-format-normalization" agent skill from https://github.com/MichaelYang-lyx/AIDABench/tree/main/skills/sn-da-excel-workflow/capability/excel-data-cleaning/numeric-format-normalization into .gemini/skills/numeric-format-normalization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "numeric-format-normalization", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install MichaelYang-lyx/AIDABench numeric-format-normalizationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add MichaelYang-lyx/AIDABench --skill numeric-format-normalization -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/MichaelYang-lyx/AIDABench.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/sn-da-excel-workflow/capability/excel-data-cleaning/numeric-format-normalization .github/skills/numeric-format-normalization && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "numeric-format-normalization" agent skill from https://github.com/MichaelYang-lyx/AIDABench/tree/main/skills/sn-da-excel-workflow/capability/excel-data-cleaning/numeric-format-normalization into .github/skills/numeric-format-normalization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "numeric-format-normalization", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add MichaelYang-lyx/AIDABench --skill numeric-format-normalization -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install MichaelYang-lyx/AIDABench numeric-format-normalization --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MichaelYang-lyx/AIDABench.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/sn-da-excel-workflow/capability/excel-data-cleaning/numeric-format-normalization .opencode/skills/numeric-format-normalization && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "numeric-format-normalization" agent skill from https://github.com/MichaelYang-lyx/AIDABench/tree/main/skills/sn-da-excel-workflow/capability/excel-data-cleaning/numeric-format-normalization into .opencode/skills/numeric-format-normalization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "numeric-format-normalization", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
numeric-format-normalization对 Excel 数据进行数值格式标准化与清洗,支持大规模数据的 Parquet 转换流程,并完成关键指标的合计核对与结果文件导出。
Numeric Format Normalization is an agent skill from MichaelYang-lyx/AIDABench. 对 Excel 数据进行数值格式标准化与清洗,支持大规模数据的 Parquet 转换流程,并完成关键指标的合计核对与结果文件导出。
Its SKILL.md is about 510 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Documents & Office, covering Excel spreadsheets, Database schema design and DataFrames. It works with Microsoft Excel. The repository describes itself as: Code for paper AIDABench: AI Data Analytics Benchmark.
Read from SKILL.md and the folder at commit 6dd4206. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Numeric Format Normalization loads about 505 tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 25 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 25 words (~505 tokens).
Just SKILL.md in skills/sn-da-excel-workflow/capability/excel-data-cleaning/numeric-format-normalization of MichaelYang-lyx/AIDABench.
Open the folder on GitHubat commit 6dd4206
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in MichaelYang-lyx/AIDABench, which our catalogue first saw on October 7, 2026.
Numeric Format Normalization next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Numeric Format Normalization this skillMichaelYang-lyx/AIDABench | 111 | 1 repos | ~505 | Automated safety check: Pass | None | |
| CSV and Excel MergerOneWave-AI/claude-skills | 322 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Tabular Cleanupgaasher/Agent-Loop-Skills | 174 | — | ~4k | Automated safety check: Pass | MIT | |
| Codebookbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~527 | Automated safety check: Notes | Custom licence | |
| Data Cleaningericrisco/rsc-harness | 156 | — | ~3.6k | Automated safety check: Pass | MIT | |
| Convert Fileduckdb/duckdb-skills | 599 | 1 repos | ~720 | Automated safety check: Notes | MIT |
OneWave-AI/claude-skills
Combines CSV, TSV and Excel files into one verified table with pandas, by stacking or joining, mapping columns, normalizing keys and removing duplicates.
gaasher/Agent-Loop-Skills
A skill your agent uses when the user has a messy tabular data dump (CSV/TSV/parquet/Excel/JSON) and wants it iteratively cleaned to an inferred data contract — a checklist of deterministic…
brycewang-stanford/Auto-Empirical-Research-Skills
Auto-generates a Markdown codebook from a dataset (CSV, DTA, Excel, Parquet) with types and summary statistics.
ericrisco/rsc-harness
A skill your agent uses when a raw table is too dirty to trust — nulls, sentinels, duplicate rows, category sprawl, mixed types, bad dates — and you need a re-runnable clean() plus a schema gate…
duckdb/duckdb-skills
Convert any data file to another format: CSV, Parquet, JSON, Excel, GeoJSON, and more.
XiaomiMiMo/MiMo-Code
Builds, edits, cleans, recalculates and reads Excel workbooks and CSV files with openpyxl and pandas, plus LibreOffice for recalculation and PDF export.
MichaelYang-lyx/AIDABench
图片理解与数据提取 skill。当图片文件(.png/.jpg/.jpeg/.gif/.webp/.bmp)是主要输入且用户需要理解、提取数据或分析图片内容时使用。提供预配置的 caption 脚本(scripts/caption.py),通过 vision 模型将图片转为文本描述,无需额外配置 API Key。覆盖:(1) 通过 scripts/caption.py…
MichaelYang-lyx/AIDABench
对Excel数据进行自定义分类统计、交叉分析与可视化,并基于多维度指标(如文本长度、术语密度、正则匹配等)进行综合评分与分级,适用于多类别数据分布统计及文本内容难度/质量评估场景。
MichaelYang-lyx/AIDABench
读取多工作表Excel文件,自动处理合并单元格与数据清洗,进行交叉分组统计并生成带总计行的结果表,最后绘制支持中英文字体的美化柱状图,适用于多维度数据汇总与可视化分析。
MichaelYang-lyx/AIDABench
执行全面的异常值检测与数据质量评估,利用 IQR 方法识别异常值并结合偏度、峰度分析数据分布特征,适用于非正态分布数据的预处理阶段。
MichaelYang-lyx/AIDABench
Excel 数据分析多步编排器。覆盖:(1) 读取多 Sheet Excel 文件并统计行数,(2) 大文件检测(≥10k 行自动 Parquet 优化),(3) 数据清洗(缺失值、文本标准化、无效字符),(4) 条件筛选与分类提取,(5) 跨 Sheet 统计聚合,(6) 导出 Excel/CSV 并提供下载链接。覆盖从数据读取到报告生成全流程,按步骤编排 capability 子…
MichaelYang-lyx/AIDABench
万行以上 Excel 数据集的高性能分析引擎。提供 openpyxl readonly 流式读取(iterrows 支持 10 万行以上)、Parquet 转换加速、内存优化、分块处理和大文件写入模式。遇到以下任一情况就主动使用本 skill:①数据行数 ≥ 10k(由 sn-da-excel-workflow 的行数评估步骤触发);②用户出现触发词:大文件 / 大数据量 / 性能优化 /…
Works with
Categories
对 Excel 数据进行数值格式标准化与清洗,支持大规模数据的 Parquet 转换流程,并完成关键指标的合计核对与结果文件导出。. Numeric Format Normalization is an agent skill from MichaelYang-lyx/AIDABench.
Numeric Format Normalization fits situations like: tasks that involve Excel spreadsheets; tasks that involve Database schema design; tasks that involve DataFrames.
Run `npx skills add MichaelYang-lyx/AIDABench --skill numeric-format-normalization -a claude-code`. Or copy the skill folder (skills/sn-da-excel-workflow/capability/excel-data-cleaning/numeric-format-normalization in MichaelYang-lyx/AIDABench) into .claude/skills/numeric-format-normalization in your project. Claude Code loads it when a task matches its description.
Run `npx skills add MichaelYang-lyx/AIDABench --skill numeric-format-normalization -a codex`. Or copy the skill folder (skills/sn-da-excel-workflow/capability/excel-data-cleaning/numeric-format-normalization in MichaelYang-lyx/AIDABench) into .agents/skills/numeric-format-normalization in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add MichaelYang-lyx/AIDABench --skill numeric-format-normalization -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/numeric-format-normalization, .gemini/skills/numeric-format-normalization, .github/skills/numeric-format-normalization and .opencode/skills/numeric-format-normalization in your project.
SKILL.md names no scripts, command-line tools or credentials: Numeric Format Normalization is instructions for the agent only. Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
No licence was found for Numeric Format Normalization or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 505 tokens (SKILL.md is roughly 2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Numeric Format Normalization: CSV and Excel Merger (OneWave-AI/claude-skills, 322 stars), Tabular Cleanup (gaasher/Agent-Loop-Skills, 174 stars), Codebook (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars) and Data Cleaning (ericrisco/rsc-harness, 156 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
MichaelYang-lyx (a GitHub user) maintains it in MichaelYang-lyx/AIDABench, which has 111 GitHub stars. The repository holds 39 skills in this directory. The repository was last updated on September 28, 2026.
Source: MichaelYang-lyx/AIDABench on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.