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.
Installing and using common Python packages in SkillBench containers.
$ npx skills add A-EVO-Lab/a-evolve --skill python-packages -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install A-EVO-Lab/a-evolve python-packages --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/A-EVO-Lab/a-evolve.git skills-src && mkdir -p .claude/skills && cp -r skills-src/seed_workspaces/skillbench/skills/python-packages .claude/skills/python-packages && 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 "python-packages" agent skill from https://github.com/A-EVO-Lab/a-evolve/tree/main/seed_workspaces/skillbench/skills/python-packages into .claude/skills/python-packages/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-packages", 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/A-EVO-Lab/a-evolve/tree/main/seed_workspaces/skillbench/skills/python-packagesType 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 A-EVO-Lab/a-evolve --skill python-packages -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install A-EVO-Lab/a-evolve python-packages --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/A-EVO-Lab/a-evolve.git skills-src && mkdir -p .agents/skills && cp -r skills-src/seed_workspaces/skillbench/skills/python-packages .agents/skills/python-packages && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "python-packages" agent skill from https://github.com/A-EVO-Lab/a-evolve/tree/main/seed_workspaces/skillbench/skills/python-packages into .agents/skills/python-packages/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-packages", 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 A-EVO-Lab/a-evolve --skill python-packages -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install A-EVO-Lab/a-evolve python-packages --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/A-EVO-Lab/a-evolve.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/seed_workspaces/skillbench/skills/python-packages .cursor/skills/python-packages && 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 "python-packages" agent skill from https://github.com/A-EVO-Lab/a-evolve/tree/main/seed_workspaces/skillbench/skills/python-packages into .cursor/skills/python-packages/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-packages", 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/A-EVO-Lab/a-evolve.git --path seed_workspaces/skillbench/skills/python-packages--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 A-EVO-Lab/a-evolve --skill python-packages -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install A-EVO-Lab/a-evolve python-packages --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/A-EVO-Lab/a-evolve.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/seed_workspaces/skillbench/skills/python-packages .gemini/skills/python-packages && 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 "python-packages" agent skill from https://github.com/A-EVO-Lab/a-evolve/tree/main/seed_workspaces/skillbench/skills/python-packages into .gemini/skills/python-packages/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-packages", 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 A-EVO-Lab/a-evolve python-packagesInstalls 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 A-EVO-Lab/a-evolve --skill python-packages -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/A-EVO-Lab/a-evolve.git skills-src && mkdir -p .github/skills && cp -r skills-src/seed_workspaces/skillbench/skills/python-packages .github/skills/python-packages && 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 "python-packages" agent skill from https://github.com/A-EVO-Lab/a-evolve/tree/main/seed_workspaces/skillbench/skills/python-packages into .github/skills/python-packages/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-packages", 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 A-EVO-Lab/a-evolve --skill python-packages -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install A-EVO-Lab/a-evolve python-packages --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/A-EVO-Lab/a-evolve.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/seed_workspaces/skillbench/skills/python-packages .opencode/skills/python-packages && 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 "python-packages" agent skill from https://github.com/A-EVO-Lab/a-evolve/tree/main/seed_workspaces/skillbench/skills/python-packages into .opencode/skills/python-packages/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-packages", 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.
python-packagesInstalling and using common Python packages in SkillBench containers.
Python Packages is an agent skill from A-EVO-Lab/a-evolve. Installing and using common Python packages in SkillBench containers. Covers scientific computing, data analysis, and file format libraries.
Its SKILL.md is about 560 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. It works with Python, Matplotlib and Microsoft Excel. The repository describes itself as: The official repository of "Position: Agentic Evolution is the Path to Evolving LLMs".
Read from SKILL.md and the folder at commit 18ba996. 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.
Shell commands in SKILL.md call:
pip3apt-getpython3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pip3, which can reach the network depending on how they are called.
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.
Python Packages loads about 556 tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 129 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 129 words (~556 tokens).
“Containers run as root. Always use --break-system-packages:”
Just SKILL.md in seed_workspaces/skillbench/skills/python-packages of A-EVO-Lab/a-evolve.
Open the folder on GitHubat commit 18ba996
Python Packages 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 |
|---|---|---|---|---|---|---|
| Python Packages this skillA-EVO-Lab/a-evolve | 805 | — | ~556 | Automated safety check: Pass | None | |
| Excel and CSV Data Analysisbytedance/deer-flow | 83k | 4 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Python Executorcortega26/chile-hub | 113 | 2 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Raccoon DataanalysisSenseTime-Copilot/raccoon-dataanalysis-skill | 137 | — | ~1.9k | Automated safety check: Pass | None | |
| Hybrid-Engine Data Analysiscode-yeongyu/oh-my-openagent | 70k | — | ~1.4k | Automated safety check: Pass | Custom licence | |
| GeoPandas Spatial Analysisdavila7/claude-code-templates | 32k | 10 repos | ~1.8k | Automated safety check: Pass | MIT |
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.
cortega26/chile-hub
Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh).
SenseTime-Copilot/raccoon-dataanalysis-skill
Raccoon (小浣熊) Data Analysis - Remote code interpreter and data visualization service powered by SenseTime.
code-yeongyu/oh-my-openagent
Analyzes CSV, Parquet and JSON data with DuckDB, Polars, numpy and matplotlib, preferring a persistent kernel over repeated one-shot processes.
davila7/claude-code-templates
Handles vector geospatial data in Python with GeoPandas: reading shapefiles, GeoJSON and GeoPackage, reprojecting, spatial joins, overlays, clipping and maps.
Mindrally/skills
Best practices for analytics, data analysis, and visualization using Python, pandas, matplotlib, seaborn, and Jupyter notebooks.
A-EVO-Lab/a-evolve
Optimize an AI agent's harness for MCP-Atlas benchmark. An agent skill from A-EVO-Lab/a-evolve.
A-EVO-Lab/a-evolve
Reading, writing, and converting common data formats (CSV, Excel, JSON, YAML) with correct handling of encoding, types, and edge cases.
A-EVO-Lab/a-evolve
Best practices for multi-step Python tasks including data analysis, HuggingFace datasets, token counting, and any task requiring state across multiple python() calls.
A-EVO-Lab/a-evolve
Strategies for scientific computing, numerical methods, bioinformatics/DNA tasks, logic circuit design, algorithmic challenges, and ML training tasks.
A-EVO-Lab/a-evolve
How to interpret accessibility tree elements and correlate them with screenshot regions for accurate GUI interaction.
A-EVO-Lab/a-evolve
How to discover, load, and effectively use skills to solve SkillBench tasks.
Works with
Categories
Installing and using common Python packages in SkillBench containers. Python Packages is an agent skill from A-EVO-Lab/a-evolve. Installing and using common Python packages in SkillBench containers.
Python Packages fits situations like: tasks that involve Data analysis.
Run `npx skills add A-EVO-Lab/a-evolve --skill python-packages -a claude-code`. Or copy the skill folder (seed_workspaces/skillbench/skills/python-packages in A-EVO-Lab/a-evolve) into .claude/skills/python-packages in your project. Claude Code loads it when a task matches its description.
Run `npx skills add A-EVO-Lab/a-evolve --skill python-packages -a codex`. Or copy the skill folder (seed_workspaces/skillbench/skills/python-packages in A-EVO-Lab/a-evolve) into .agents/skills/python-packages 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 A-EVO-Lab/a-evolve --skill python-packages -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/python-packages, .gemini/skills/python-packages, .github/skills/python-packages and .opencode/skills/python-packages in your project.
Going by SKILL.md and its folder, Python Packages needs the command-line tools its instructions call (pip3, apt-get and python3). 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 Python Packages or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 556 tokens (SKILL.md is roughly 2.2k 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 Python Packages: Excel and CSV Data Analysis (bytedance/deer-flow, 83k stars), Python Executor (cortega26/chile-hub, 113 stars), Raccoon Dataanalysis (SenseTime-Copilot/raccoon-dataanalysis-skill, 137 stars) and Hybrid-Engine Data Analysis (code-yeongyu/oh-my-openagent, 70k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
A-EVO-Lab (a GitHub organization) maintains it in A-EVO-Lab/a-evolve, which has 805 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on August 22, 2026.
Source: A-EVO-Lab/a-evolve on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.