Hugging Face Dataset Viewer
huggingface/skills
Explores Hugging Face datasets through the read-only Dataset Viewer API: list splits, preview and page through rows, search, filter, and fetch parquet links and statistics.
Best practices for multi-step Python tasks including data analysis, HuggingFace datasets, token counting, and any task requiring state across multiple python() calls.
Install Python Data Analysis
$ npx skills add A-EVO-Lab/a-evolve --skill python-data-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install A-EVO-Lab/a-evolve python-data-analysis --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/artifacts/tb2_clawcode_opus46/skills/python-data-analysis .claude/skills/python-data-analysis && 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-data-analysis" agent skill from https://github.com/A-EVO-Lab/a-evolve/tree/main/artifacts/tb2_clawcode_opus46/skills/python-data-analysis into .claude/skills/python-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-data-analysis", 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/artifacts/tb2_clawcode_opus46/skills/python-data-analysisType 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-data-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install A-EVO-Lab/a-evolve python-data-analysis --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/artifacts/tb2_clawcode_opus46/skills/python-data-analysis .agents/skills/python-data-analysis && 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-data-analysis" agent skill from https://github.com/A-EVO-Lab/a-evolve/tree/main/artifacts/tb2_clawcode_opus46/skills/python-data-analysis into .agents/skills/python-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-data-analysis", 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-data-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install A-EVO-Lab/a-evolve python-data-analysis --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/artifacts/tb2_clawcode_opus46/skills/python-data-analysis .cursor/skills/python-data-analysis && 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-data-analysis" agent skill from https://github.com/A-EVO-Lab/a-evolve/tree/main/artifacts/tb2_clawcode_opus46/skills/python-data-analysis into .cursor/skills/python-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-data-analysis", 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 artifacts/tb2_clawcode_opus46/skills/python-data-analysis--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-data-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install A-EVO-Lab/a-evolve python-data-analysis --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/artifacts/tb2_clawcode_opus46/skills/python-data-analysis .gemini/skills/python-data-analysis && 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-data-analysis" agent skill from https://github.com/A-EVO-Lab/a-evolve/tree/main/artifacts/tb2_clawcode_opus46/skills/python-data-analysis into .gemini/skills/python-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-data-analysis", 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-data-analysisInstalls 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-data-analysis -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/artifacts/tb2_clawcode_opus46/skills/python-data-analysis .github/skills/python-data-analysis && 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-data-analysis" agent skill from https://github.com/A-EVO-Lab/a-evolve/tree/main/artifacts/tb2_clawcode_opus46/skills/python-data-analysis into .github/skills/python-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-data-analysis", 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-data-analysis -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-data-analysis --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/artifacts/tb2_clawcode_opus46/skills/python-data-analysis .opencode/skills/python-data-analysis && 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-data-analysis" agent skill from https://github.com/A-EVO-Lab/a-evolve/tree/main/artifacts/tb2_clawcode_opus46/skills/python-data-analysis into .opencode/skills/python-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-data-analysis", 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
python-data-analysis- GitHub stars
- 805
- Token cost
- ~476 tokens
- SKILL.md length
- 108 words
- Files
- 1
- Skills in repo
- 17
- Repo updated
- First seen
- Licence
- None found
At a glance
Best practices for multi-step Python tasks including data analysis, HuggingFace datasets, token counting, and any task requiring state across multiple python() calls.
- Works in 3 steps: Save state to files between calls → Every call MUST re-import and re-load —… → NameError = forgot to re-define — add…
- Tasks that involve Data analysis
- SKILL.md covers RULE #1: Each python() call…, If you must use multiple…, HuggingFace Datasets + Token… and For iterative exploration,…, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Python Data Analysis is an agent skill from 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.
Its SKILL.md is about 480 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, LLM API integration and Model hubs and datasets. It works with Python and Hugging Face. The repository describes itself as: The official repository of "Position: Agentic Evolution is the Path to Evolving LLMs".
When your agent uses it
- Tasks that involve Data analysis
- Tasks that involve LLM API integration
- Tasks that involve Model hubs and datasets
Example prompts
- “/python-data-analysis”
Requirements
- Python 3
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Save state to files between calls
- Every call MUST re-import and re-load — never reference prior variables
- NameError = forgot to re-define — add missing definitions, don't just re-run
What it can do on your machine
Read from SKILL.md and the folder at commit 18ba996. 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
Python Data Analysis loads about 476 tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 108 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 108 words (~476 tokens).
“Variables, imports, data from previous calls DO NOT EXIST. This is the #1 source of NameError.”
- name
- python-data-analysis
Files
Just SKILL.md in artifacts/tb2_clawcode_opus46/skills/python-data-analysis of A-EVO-Lab/a-evolve.
Open the folder on GitHubat commit 18ba996
Compare with similar skills
Python Data Analysis 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 Data Analysis this skillA-EVO-Lab/a-evolve | 805 | — | ~476 | Automated safety check: Pass | None | |
| Hugging Face Dataset Viewerhuggingface/skills | 11k | 3 repos | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Dataset FinderLeoYeAI/openclaw-master-skills | 2.2k | — | ~5.4k | Automated safety check: Pass | Proprietary | |
| LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3k | Automated safety check: Pass | MIT | |
| Qwen Mtp GgufR6410418/Jackrong-llm-finetuning-guide | 1.7k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Hugging Face Paper Publisherhuggingface/skills | 11k | 5 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 |
Similar skills
- Official
Dataset Finder
LeoYeAI/openclaw-master-skills
A skill your agent uses when users need to search for datasets, download data files, or explore data repositories.
LLM Benchmarking with lm-evaluation-harness
Orchestra-Research/AI-Research-SKILLs
Runs lm-evaluation-harness to benchmark language models on academic suites such as MMLU, GSM8K and HumanEval, compare models and track training checkpoints.
Qwen Mtp Gguf
R6410418/Jackrong-llm-finetuning-guide
Complete agent-ready workflow for Qwen-family MTP or nextn GGUF conversion and release.
- Official
Hugging Face Paper Publisher
huggingface/skills
Indexes research papers on the Hugging Face Hub from arXiv, links them to models and datasets, claims authorship and generates markdown research articles from templates.
Hugging Face Tokenizers
Orchestra-Research/AI-Research-SKILLs
Shows how to load, train and use fast Hugging Face tokenizers, with BPE, WordPiece and Unigram models, padding, truncation and alignment tracking.
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Related
Works with
Categories
Questions about Python Data Analysis
What does Python Data Analysis do?
Best practices for multi-step Python tasks including data analysis, HuggingFace datasets, token counting, and any task requiring state across multiple python() calls. Python Data Analysis is an agent skill from 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.
When should I use Python Data Analysis?
Python Data Analysis fits situations like: tasks that involve Data analysis; tasks that involve LLM API integration; tasks that involve Model hubs and datasets.
How do I install Python Data Analysis in Claude Code?
Run `npx skills add A-EVO-Lab/a-evolve --skill python-data-analysis -a claude-code`. Or copy the skill folder (artifacts/tb2_clawcode_opus46/skills/python-data-analysis in A-EVO-Lab/a-evolve) into .claude/skills/python-data-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Python Data Analysis in Codex?
Run `npx skills add A-EVO-Lab/a-evolve --skill python-data-analysis -a codex`. Or copy the skill folder (artifacts/tb2_clawcode_opus46/skills/python-data-analysis in A-EVO-Lab/a-evolve) into .agents/skills/python-data-analysis in your project. Codex loads it when a task matches its description.
Can I use Python Data Analysis 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 A-EVO-Lab/a-evolve --skill python-data-analysis -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-data-analysis, .gemini/skills/python-data-analysis, .github/skills/python-data-analysis and .opencode/skills/python-data-analysis in your project.
What does Python Data Analysis need to run?
SKILL.md names no scripts, command-line tools or credentials: Python Data Analysis is instructions for the agent only. Our summary lists: Python 3.
Does Python Data Analysis 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 Python Data Analysis 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 Python Data Analysis use?
No licence was found for Python Data Analysis or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Python Data Analysis use?
About 476 tokens (SKILL.md is roughly 1.9k 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 Python Data Analysis?
Skills that share tags, products or a category with Python Data Analysis: Hugging Face Dataset Viewer (huggingface/skills, 11k stars), Dataset Finder (LeoYeAI/openclaw-master-skills, 2.2k stars), LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Qwen Mtp Gguf (R6410418/Jackrong-llm-finetuning-guide, 1.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Python Data Analysis?
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.