Excel and CSV Data Analysis
bytedance/deer-flow
Analyzes uploaded Excel and CSV files with SQL through DuckDB, producing schema inspections, statistical summaries and exports to CSV, JSON or Markdown.
Generates production-ready analysis code in Python, R, SQL. An agent skill from liangdabiao/claude-data-analysis-ultra-main.
Install Code Generator
$ npx skills add liangdabiao/claude-data-analysis-ultra-main --skill code-generator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main code-generator --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/liangdabiao/claude-data-analysis-ultra-main.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/code-generator .claude/skills/code-generator && 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 "code-generator" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/code-generator into .claude/skills/code-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-generator", 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/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/code-generatorType 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 liangdabiao/claude-data-analysis-ultra-main --skill code-generator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main code-generator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/liangdabiao/claude-data-analysis-ultra-main.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/code-generator .agents/skills/code-generator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "code-generator" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/code-generator into .agents/skills/code-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-generator", 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 liangdabiao/claude-data-analysis-ultra-main --skill code-generator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main code-generator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/liangdabiao/claude-data-analysis-ultra-main.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/code-generator .cursor/skills/code-generator && 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 "code-generator" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/code-generator into .cursor/skills/code-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-generator", 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/liangdabiao/claude-data-analysis-ultra-main.git --path .claude/skills/code-generator--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 liangdabiao/claude-data-analysis-ultra-main --skill code-generator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main code-generator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/liangdabiao/claude-data-analysis-ultra-main.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/code-generator .gemini/skills/code-generator && 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 "code-generator" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/code-generator into .gemini/skills/code-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-generator", 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 liangdabiao/claude-data-analysis-ultra-main code-generatorInstalls 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 liangdabiao/claude-data-analysis-ultra-main --skill code-generator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/liangdabiao/claude-data-analysis-ultra-main.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/code-generator .github/skills/code-generator && 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 "code-generator" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/code-generator into .github/skills/code-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-generator", 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 liangdabiao/claude-data-analysis-ultra-main --skill code-generator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install liangdabiao/claude-data-analysis-ultra-main code-generator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/liangdabiao/claude-data-analysis-ultra-main.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/code-generator .opencode/skills/code-generator && 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 "code-generator" agent skill from https://github.com/liangdabiao/claude-data-analysis-ultra-main/tree/main/.claude/skills/code-generator into .opencode/skills/code-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-generator", 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.
Facts
- Skill name
code-generator- GitHub stars
- 290
- Token cost
- ~513 tokens
- SKILL.md length
- 184 words
- Files
- 1
- Skills in repo
- 19
- Repo updated
- First seen
- Licence
- None found
At a glance
Generates production-ready analysis code in Python, R, SQL. An agent skill from liangdabiao/claude-data-analysis-ultra-main.
- Works in 5 steps: data-cleaning (数据清洗) → statistical (统计分析) → visualization (数据可视化) → …
- Wants reusable code for data analysis
- SKILL.md covers When to Invoke This Skill, Code Types (Advanced Mode), Core Capabilities and Code Standards, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Code Generator is an agent skill from liangdabiao/claude-data-analysis-ultra-main. Generates production-ready analysis code in Python, R, SQL. Invoke when user wants reusable code for data analysis, ML, or visualization.
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 Data & Analytics, covering Data analysis, SQL and Machine learning. It works with Python and SQL. The repository describes itself as: 让小白都可以一键进行数据分析，搞互联网的，搞电商的，搞各种各样的，那么其实就会用到 互联网的数据分析， 例如互联网会关心 拉新，留存，促活，推荐，转化，A/B test, 用户分析 等等很多有用的数据分析。
When your agent uses it
- Wants reusable code for data analysis
- Tasks that involve Data analysis
- Tasks that involve SQL
Example prompts
- “Use the code-generator skill to generate production-ready analysis code in Python, R, SQL. An agent skill from…”
- “/code-generator”
Requirements
- Python 3
Workflow steps
5 steps, taken from the step headings in SKILL.md.
- data-cleaning (数据清洗)
- statistical (统计分析)
- visualization (数据可视化)
- machine-learning (机器学习)
- custom (自定义)
What it can do on your machine
Read from SKILL.md and the folder at commit 6b52856. 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 and r).
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
Code Generator loads about 513 tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 184 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.
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 184 words (~513 tokens).
“Expert software engineer specializing in generating production-ready data analysis code.”
- name
- code-generator
Files
Just SKILL.md in .claude/skills/code-generator of liangdabiao/claude-data-analysis-ultra-main.
Open the folder on GitHubat commit 6b52856
Compare with similar skills
Code Generator 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 |
|---|---|---|---|---|---|---|
| Code Generator this skillliangdabiao/claude-data-analysis-ultra-main | 290 | — | ~513 | Automated safety check: Pass | None | |
| Excel and CSV Data Analysisbytedance/deer-flow | 83k | 4 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Data Analysis Engineinfometa/workbuddyskills | 342 | — | ~855 | Automated safety check: Pass | None | |
| Senior Data ScientistRaidriar7170/hermes-skilleval | 125 | 6 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Datafusion Pythonapache/datafusion-python | 606 | — | ~7.8k | Automated safety check: Pass | Apache-2.0 | |
| Dinobase Business Data Querieskappa90/dinobase | 263 | — | ~1.5k | Automated safety check: Pass | Custom licence |
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Related
Categories
Questions about Code Generator
What does Code Generator do?
Generates production-ready analysis code in Python, R, SQL. An agent skill from liangdabiao/claude-data-analysis-ultra-main. Code Generator is an agent skill from liangdabiao/claude-data-analysis-ultra-main. Generates production-ready analysis code in Python, R, SQL.
When should I use Code Generator?
Code Generator fits situations like: wants reusable code for data analysis; tasks that involve Data analysis; tasks that involve SQL.
How do I install Code Generator in Claude Code?
Run `npx skills add liangdabiao/claude-data-analysis-ultra-main --skill code-generator -a claude-code`. Or copy the skill folder (.claude/skills/code-generator in liangdabiao/claude-data-analysis-ultra-main) into .claude/skills/code-generator in your project. Claude Code loads it when a task matches its description.
How do I install Code Generator in Codex?
Run `npx skills add liangdabiao/claude-data-analysis-ultra-main --skill code-generator -a codex`. Or copy the skill folder (.claude/skills/code-generator in liangdabiao/claude-data-analysis-ultra-main) into .agents/skills/code-generator in your project. Codex loads it when a task matches its description.
Can I use Code Generator 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 liangdabiao/claude-data-analysis-ultra-main --skill code-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/code-generator, .gemini/skills/code-generator, .github/skills/code-generator and .opencode/skills/code-generator in your project.
What does Code Generator need to run?
SKILL.md names no scripts, command-line tools or credentials: Code Generator is instructions for the agent only. Our summary lists: Python 3.
Does Code Generator 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 Code Generator 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 Code Generator use?
No licence was found for Code Generator or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Code Generator use?
About 513 tokens (SKILL.md is roughly 2.1k 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 Code Generator?
Skills that share tags, products or a category with Code Generator: Excel and CSV Data Analysis (bytedance/deer-flow, 83k stars), Data Analysis Engine (infometa/workbuddyskills, 342 stars), Senior Data Scientist (Raidriar7170/hermes-skilleval, 125 stars) and Datafusion Python (apache/datafusion-python, 606 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Code Generator?
liangdabiao (a GitHub user) maintains it in liangdabiao/claude-data-analysis-ultra-main, which has 290 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on May 10, 2026.
Source: liangdabiao/claude-data-analysis-ultra-main on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.