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.
智数分析专家团的核心分析引擎技能，提供数据源连接、查询执行、分析工作流编排和安全沙盒执行的完整能力框架. An agent skill from infometa/workbuddyskills.
Install Data Analysis Engine
$ npx skills add infometa/workbuddyskills --skill data-analysis-engine -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install infometa/workbuddyskills data-analysis-engine --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/infometa/workbuddyskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/experts/ai-data-copilot/skills/data-analysis-engine .claude/skills/data-analysis-engine && 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 "data-analysis-engine" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/ai-data-copilot/skills/data-analysis-engine into .claude/skills/data-analysis-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-analysis-engine", 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/infometa/workbuddyskills/tree/main/experts/ai-data-copilot/skills/data-analysis-engineType 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 infometa/workbuddyskills --skill data-analysis-engine -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install infometa/workbuddyskills data-analysis-engine --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/experts/ai-data-copilot/skills/data-analysis-engine .agents/skills/data-analysis-engine && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "data-analysis-engine" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/ai-data-copilot/skills/data-analysis-engine into .agents/skills/data-analysis-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-analysis-engine", 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 infometa/workbuddyskills --skill data-analysis-engine -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install infometa/workbuddyskills data-analysis-engine --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/experts/ai-data-copilot/skills/data-analysis-engine .cursor/skills/data-analysis-engine && 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 "data-analysis-engine" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/ai-data-copilot/skills/data-analysis-engine into .cursor/skills/data-analysis-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-analysis-engine", 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/infometa/workbuddyskills.git --path experts/ai-data-copilot/skills/data-analysis-engine--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 infometa/workbuddyskills --skill data-analysis-engine -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install infometa/workbuddyskills data-analysis-engine --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/experts/ai-data-copilot/skills/data-analysis-engine .gemini/skills/data-analysis-engine && 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 "data-analysis-engine" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/ai-data-copilot/skills/data-analysis-engine into .gemini/skills/data-analysis-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-analysis-engine", 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 infometa/workbuddyskills data-analysis-engineInstalls 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 infometa/workbuddyskills --skill data-analysis-engine -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .github/skills && cp -r skills-src/experts/ai-data-copilot/skills/data-analysis-engine .github/skills/data-analysis-engine && 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 "data-analysis-engine" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/ai-data-copilot/skills/data-analysis-engine into .github/skills/data-analysis-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-analysis-engine", 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 infometa/workbuddyskills --skill data-analysis-engine -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install infometa/workbuddyskills data-analysis-engine --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/experts/ai-data-copilot/skills/data-analysis-engine .opencode/skills/data-analysis-engine && 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 "data-analysis-engine" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/ai-data-copilot/skills/data-analysis-engine into .opencode/skills/data-analysis-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-analysis-engine", 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
data-analysis-engine- GitHub stars
- 344
- Token cost
- ~855 tokens
- SKILL.md length
- 113 words
- Files
- 6 (incl. scripts, references)
- Skills in repo
- 212
- Repo updated
- First seen
- Licence
- None found
At a glance
智数分析专家团的核心分析引擎技能，提供数据源连接、查询执行、分析工作流编排和安全沙盒执行的完整能力框架. An agent skill from infometa/workbuddyskills.
- Tasks that involve Data analysis
- SKILL.md covers 功能说明, 核心架构, 工作流引擎（AWEL） and 数据源连接, plus 6 more sections
- Runs Python and Shell scripts from its folder
- Tasks that involve SQL
What it does
Data Analysis Engine is an agent skill from infometa/workbuddyskills. 智数分析专家团的核心分析引擎技能，提供数据源连接、查询执行、分析工作流编排和安全沙盒执行的完整能力框架。 对标原始系统的AWEL工作流引擎、多数据源连接器、沙盒执行环境和技能加载系统。 触发词：数据分析、SQL执行、数据连接、知识检索、报告生成、数据画像
Its SKILL.md is about 860 tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `references/analysis-patterns.md`, `references/datasource-connectors.md` and `references/security-guidelines.md`).
It sits in Data & Analytics, covering Data analysis and SQL. It works with SQL and Python. The repository describes itself as: WorkBuddy skills / connectors / experts archive for offline study.
When your agent uses it
- Tasks that involve Data analysis
- Tasks that involve SQL
Example prompts
- “/data-analysis-engine”
Requirements
- Python 3
- A Bash shell
What it can do on your machine
Read from SKILL.md and the folder at commit 75a5ad9. 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
Ships 1 file in scripts/ (Python and Shell), which the agent can run.
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
Data Analysis Engine loads about 855 tokens when it runs, and up to ~5.3k if it reads all its reference files. Until then it costs about 37 tokens; SKILL.md has 113 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); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 113 words (~855 tokens).
- name
- data-analysis-engine
Files
SKILL.md and 5 other files (scripts, references) in experts/ai-data-copilot/skills/data-analysis-engine of infometa/workbuddyskills.
- SKILL.md
- references/analysis-patterns.md
- references/datasource-connectors.md
- references/security-guidelines.md
- scripts/data_profiler.py
- templates/generate_profile_report.sh
Open the folder on GitHubat commit 75a5ad9
Compare with similar skills
Data Analysis Engine 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 |
|---|---|---|---|---|---|---|
| Data Analysis Engine this skillinfometa/workbuddyskills | 344 | — | ~855 | Automated safety check: Pass | None | |
| Excel and CSV Data Analysisbytedance/deer-flow | 83k | 4 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Code Generatorliangdabiao/claude-data-analysis-ultra-main | 290 | — | ~513 | Automated safety check: Pass | None | |
| 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 | |
| Analysis Artifactswarpdotdev/oz-skills | 825 | — | ~1.1k | Automated safety check: Pass | MIT |
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Analysis Artifacts
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Questions about Data Analysis Engine
What does Data Analysis Engine do?
智数分析专家团的核心分析引擎技能，提供数据源连接、查询执行、分析工作流编排和安全沙盒执行的完整能力框架. An agent skill from infometa/workbuddyskills. Data Analysis Engine is an agent skill from infometa/workbuddyskills.
When should I use Data Analysis Engine?
Data Analysis Engine fits situations like: tasks that involve Data analysis; tasks that involve SQL.
How do I install Data Analysis Engine in Claude Code?
Run `npx skills add infometa/workbuddyskills --skill data-analysis-engine -a claude-code`. Or copy the skill folder (experts/ai-data-copilot/skills/data-analysis-engine in infometa/workbuddyskills) into .claude/skills/data-analysis-engine in your project. Claude Code loads it when a task matches its description.
How do I install Data Analysis Engine in Codex?
Run `npx skills add infometa/workbuddyskills --skill data-analysis-engine -a codex`. Or copy the skill folder (experts/ai-data-copilot/skills/data-analysis-engine in infometa/workbuddyskills) into .agents/skills/data-analysis-engine in your project. Codex loads it when a task matches its description.
Can I use Data Analysis Engine 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 infometa/workbuddyskills --skill data-analysis-engine -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/data-analysis-engine, .gemini/skills/data-analysis-engine, .github/skills/data-analysis-engine and .opencode/skills/data-analysis-engine in your project.
What does Data Analysis Engine need to run?
Going by SKILL.md and its folder, Data Analysis Engine needs Python and a shell for the scripts in its folder. Our summary lists: Python 3; A Bash shell.
Does Data Analysis Engine 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 Data Analysis Engine 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Data Analysis Engine use?
No licence was found for Data Analysis Engine or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Data Analysis Engine use?
About 855 tokens (SKILL.md is roughly 3.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.4k tokens, read only when the agent opens those files.
What are the alternatives to Data Analysis Engine?
Skills that share tags, products or a category with Data Analysis Engine: Excel and CSV Data Analysis (bytedance/deer-flow, 83k stars), Code Generator (liangdabiao/claude-data-analysis-ultra-main, 290 stars), Datafusion Python (apache/datafusion-python, 606 stars) and Dinobase Business Data Queries (kappa90/dinobase, 263 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Data Analysis Engine?
infometa (a GitHub user) maintains it in infometa/workbuddyskills, which has 344 GitHub stars. The repository holds 212 skills in this directory. The repository was last updated on October 7, 2026.
Source: infometa/workbuddyskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.