Agent skill

Numeric Format Normalization

by MichaelYang-lyx in 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。

No licenceAuto-check passedDocuments & Office

Install Numeric Format Normalization

skills CLI
$ npx skills add MichaelYang-lyx/AIDABench --skill numeric-format-normalization -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install MichaelYang-lyx/AIDABench numeric-format-normalization --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-src

Use ~/.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/

Facts

Skill name
numeric-format-normalization
GitHub stars
111
Used in
1 other repo
Token cost
~505 tokens
SKILL.md length
25 words
Files
1
Skills in repo
39
Repo updated
First seen
Licence
None found

At a glance

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。

  • Tasks that involve Excel spreadsheets
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve Database schema design
  • Tasks that involve DataFrames

What it does

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.

When your agent uses it

  • Tasks that involve Excel spreadsheets
  • Tasks that involve Database schema design
  • Tasks that involve DataFrames

Example prompts

  • “/numeric-format-normalization”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 6dd4206. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    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.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

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.

Always · name and description, kept in context so the agent knows when to use it
~24
When it runs · the whole SKILL.md, loaded when a task matches
~505

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.

Safety

Auto-check passed

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.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 25 words (~505 tokens).

name
numeric-format-normalization

Read the full SKILL.md on GitHub

Files

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

Used in 1 other repository

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.

Compare with similar skills

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.

Numeric Format Normalization compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Numeric Format Normalization this skillMichaelYang-lyx/AIDABench1111 repos~505Automated safety check: PassNone
CSV and Excel MergerOneWave-AI/claude-skills322—~1.6kAutomated safety check: PassMIT
Tabular Cleanupgaasher/Agent-Loop-Skills174—~4kAutomated safety check: PassMIT
Codebookbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~527Automated safety check: NotesCustom licence
Data Cleaningericrisco/rsc-harness156—~3.6kAutomated safety check: PassMIT
Convert Fileduckdb/duckdb-skills5991 repos~720Automated safety check: NotesMIT

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Works with

Questions about Numeric Format Normalization

What does Numeric Format Normalization do?

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.

When should I use Numeric Format Normalization?

Numeric Format Normalization fits situations like: tasks that involve Excel spreadsheets; tasks that involve Database schema design; tasks that involve DataFrames.

How do I install Numeric Format Normalization in Claude Code?

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.

How do I install Numeric Format Normalization in Codex?

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.

Can I use Numeric Format Normalization in Cursor, Gemini CLI or GitHub Copilot?

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.

What does Numeric Format Normalization need to run?

SKILL.md names no scripts, command-line tools or credentials: Numeric Format Normalization is instructions for the agent only. Our summary lists: Python 3.

Does Numeric Format Normalization access the network?

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.

Is Numeric Format Normalization safe to install?

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.

What licence does Numeric Format Normalization use?

No licence was found for Numeric Format Normalization or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Numeric Format Normalization use?

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.

What are the alternatives to Numeric Format Normalization?

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.

Who maintains Numeric Format Normalization?

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.