CSV Data Analysis
5zjk5/prompt-engineering
This skill should be used when users need to analyze CSV or Excel files, understand data patterns, generate statistical summaries, or create data visualizations.
Analyze data, process CSV/JSON files, compute statistics, and create data visualizations.
Install Data Analysis
$ npx skills add fastclaw-ai/fastclaw --skill data-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install fastclaw-ai/fastclaw 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/fastclaw-ai/fastclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/data-analysis .claude/skills/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 "data-analysis" agent skill from https://github.com/fastclaw-ai/fastclaw/tree/dev/skills/data-analysis into .claude/skills/data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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/fastclaw-ai/fastclaw/tree/dev/skills/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 fastclaw-ai/fastclaw --skill data-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install fastclaw-ai/fastclaw data-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/fastclaw-ai/fastclaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/data-analysis .agents/skills/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 "data-analysis" agent skill from https://github.com/fastclaw-ai/fastclaw/tree/dev/skills/data-analysis into .agents/skills/data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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 fastclaw-ai/fastclaw --skill data-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install fastclaw-ai/fastclaw data-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/fastclaw-ai/fastclaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/data-analysis .cursor/skills/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 "data-analysis" agent skill from https://github.com/fastclaw-ai/fastclaw/tree/dev/skills/data-analysis into .cursor/skills/data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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/fastclaw-ai/fastclaw.git --path skills/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 fastclaw-ai/fastclaw --skill data-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install fastclaw-ai/fastclaw data-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/fastclaw-ai/fastclaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/data-analysis .gemini/skills/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 "data-analysis" agent skill from https://github.com/fastclaw-ai/fastclaw/tree/dev/skills/data-analysis into .gemini/skills/data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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 fastclaw-ai/fastclaw 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 fastclaw-ai/fastclaw --skill data-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/fastclaw-ai/fastclaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/data-analysis .github/skills/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 "data-analysis" agent skill from https://github.com/fastclaw-ai/fastclaw/tree/dev/skills/data-analysis into .github/skills/data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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 fastclaw-ai/fastclaw --skill 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 fastclaw-ai/fastclaw data-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/fastclaw-ai/fastclaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/data-analysis .opencode/skills/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 "data-analysis" agent skill from https://github.com/fastclaw-ai/fastclaw/tree/dev/skills/data-analysis into .opencode/skills/data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "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
data-analysis- GitHub stars
- 1.4k
- Token cost
- ~410 tokens
- SKILL.md length
- 86 words
- Files
- 1
- Skills in repo
- 9
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Analyze data, process CSV/JSON files, compute statistics, and create data visualizations.
- The user asks about data processing
- SKILL.md covers Common Libraries, Common Tasks and Guidelines
- Calls pip
- Tasks that involve Data analysis
What it does
Data Analysis is an agent skill from fastclaw-ai/fastclaw. Analyze data, process CSV/JSON files, compute statistics, and create data visualizations. Use when the user asks about data processing, statistics, or analysis.
Its SKILL.md is about 410 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, Data visualization and Statistics. The repository describes itself as: Multi-Agent Framework.
When your agent uses it
- The user asks about data processing
- Tasks that involve Data analysis
- Tasks that involve Data visualization
Example prompts
- “/data-analysis”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit f401889. 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
Shell commands in SKILL.md call:
pip
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
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 loads about 410 tokens when it runs. Until then it costs about 44 tokens; SKILL.md has 86 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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 86 words (~410 tokens).
“Analyze and process data using Python in the sandbox.”
- name
- data-analysis
Files
Just SKILL.md in skills/data-analysis of fastclaw-ai/fastclaw.
Open the folder on GitHubat commit f401889
Compare with similar skills
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 |
|---|---|---|---|---|---|---|
| Data Analysis this skillfastclaw-ai/fastclaw | 1.4k | — | ~410 | Automated safety check: Pass | Custom licence | |
| CSV Data Analysis5zjk5/prompt-engineering | 127 | — | ~2.6k | Automated safety check: Pass | None | |
| Ukb Ppp Region FetchClawBio/ClawBio | 1.2k | — | ~4.6k | Automated safety check: Pass | MIT | |
| Analysis Graphingclshortfuse/renodx | 4.4k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Eqtl Catalogue Region FetchClawBio/ClawBio | 1.2k | 1 repos | ~4.3k | Automated safety check: Pass | MIT | |
| Gwas Catalog Region FetchClawBio/ClawBio | 1.2k | 1 repos | ~3.5k | Automated safety check: Pass | MIT |
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Analysis Graphing
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RenoDX workflow for creating readable analysis graphs and plots from shader math, CSVs, EXRs, LUTs, hue sweeps, tone curves, gamut comparisons, energy/scalar maps, and test-pattern statistics.
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Fetch a region of cis-eQTL summary statistics from EBI eQTL Catalogue v7+ via tabix-on-FTP.
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Related
Categories
Questions about Data Analysis
What does Data Analysis do?
Analyze data, process CSV/JSON files, compute statistics, and create data visualizations. Data Analysis is an agent skill from fastclaw-ai/fastclaw. Analyze data, process CSV/JSON files, compute statistics, and create data visualizations.
When should I use Data Analysis?
Data Analysis fits situations like: the user asks about data processing; tasks that involve Data analysis; tasks that involve Data visualization.
How do I install Data Analysis in Claude Code?
Run `npx skills add fastclaw-ai/fastclaw --skill data-analysis -a claude-code`. Or copy the skill folder (skills/data-analysis in fastclaw-ai/fastclaw) into .claude/skills/data-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Data Analysis in Codex?
Run `npx skills add fastclaw-ai/fastclaw --skill data-analysis -a codex`. Or copy the skill folder (skills/data-analysis in fastclaw-ai/fastclaw) into .agents/skills/data-analysis in your project. Codex loads it when a task matches its description.
Can I use 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 fastclaw-ai/fastclaw --skill 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/data-analysis, .gemini/skills/data-analysis, .github/skills/data-analysis and .opencode/skills/data-analysis in your project.
What does Data Analysis need to run?
Going by SKILL.md and its folder, Data Analysis needs the command-line tools its instructions call (pip). Our summary lists: Python 3.
Does Data Analysis access the network?
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is 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 Data Analysis use?
Data Analysis has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Data Analysis use?
About 410 tokens (SKILL.md is roughly 1.6k 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 Data Analysis?
Skills that share tags, products or a category with Data Analysis: CSV Data Analysis (5zjk5/prompt-engineering, 127 stars), Ukb Ppp Region Fetch (ClawBio/ClawBio, 1.2k stars), Analysis Graphing (clshortfuse/renodx, 4.4k stars) and Eqtl Catalogue Region Fetch (ClawBio/ClawBio, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Data Analysis?
fastclaw-ai (a GitHub organization) maintains it in fastclaw-ai/fastclaw, which has 1,354 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on October 6, 2026.
Source: fastclaw-ai/fastclaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.