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.
A skill your agent uses when performing correlation analysis between two variables including Pearson and Spearman correlation methods.
$ npx skills add aipoch/medical-research-skills --skill sample-correlation-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aipoch/medical-research-skills sample-correlation-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/aipoch/medical-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'awesome-med-research-skills/Data Analysis/sample-correlation-analysis' .claude/skills/sample-correlation-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 "sample-correlation-analysis" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/sample-correlation-analysis into .claude/skills/sample-correlation-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sample-correlation-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/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/sample-correlation-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 aipoch/medical-research-skills --skill sample-correlation-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aipoch/medical-research-skills sample-correlation-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/'awesome-med-research-skills/Data Analysis/sample-correlation-analysis' .agents/skills/sample-correlation-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 "sample-correlation-analysis" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/sample-correlation-analysis into .agents/skills/sample-correlation-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sample-correlation-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 aipoch/medical-research-skills --skill sample-correlation-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aipoch/medical-research-skills sample-correlation-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/'awesome-med-research-skills/Data Analysis/sample-correlation-analysis' .cursor/skills/sample-correlation-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 "sample-correlation-analysis" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/sample-correlation-analysis into .cursor/skills/sample-correlation-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sample-correlation-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/aipoch/medical-research-skills.git --path 'awesome-med-research-skills/Data Analysis/sample-correlation-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 aipoch/medical-research-skills --skill sample-correlation-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aipoch/medical-research-skills sample-correlation-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/'awesome-med-research-skills/Data Analysis/sample-correlation-analysis' .gemini/skills/sample-correlation-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 "sample-correlation-analysis" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/sample-correlation-analysis into .gemini/skills/sample-correlation-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sample-correlation-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 aipoch/medical-research-skills sample-correlation-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 aipoch/medical-research-skills --skill sample-correlation-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/'awesome-med-research-skills/Data Analysis/sample-correlation-analysis' .github/skills/sample-correlation-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 "sample-correlation-analysis" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/sample-correlation-analysis into .github/skills/sample-correlation-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sample-correlation-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 aipoch/medical-research-skills --skill sample-correlation-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 aipoch/medical-research-skills sample-correlation-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/'awesome-med-research-skills/Data Analysis/sample-correlation-analysis' .opencode/skills/sample-correlation-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 "sample-correlation-analysis" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Data%20Analysis/sample-correlation-analysis into .opencode/skills/sample-correlation-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sample-correlation-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.
sample-correlation-analysisA skill your agent uses when performing correlation analysis between two variables including Pearson and Spearman correlation methods.
Sample Correlation Analysis is an agent skill from aipoch/medical-research-skills. Use when performing correlation analysis between two variables including Pearson and Spearman correlation methods. Supports command-line parameter input, automatic data format detection, parameter validation, result directory creation, and CSV or TXT format result export.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 15 other files, including scripts and reference files (for example `eval_report_sample-correlation-analysis_result.json`, `references/algorithm.md` and `references/cli-guide.md`).
It sits in Data & Analytics, covering CSV and tabular files. The repository describes itself as: Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing. The licence is MIT.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 686e09d. 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.
Ships 4 files in scripts/ (R), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
cloud.r-project.orgFrom 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.
Sample Correlation Analysis loads about 1.3k tokens when it runs, and up to ~6.6k if it reads all its reference files. Until then it costs about 75 tokens; SKILL.md has 423 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); the scripts in this folder are not scanned.
The full file from aipoch/medical-research-skills at commit 686e09d, republished under its MIT licence (© aipoch). 423 words, ~1,281 tokens.
.claude/skills/sample-correlation-analysis/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.Use this skill to run correlation analysis on two variables from a tabular data file.
Rscript scripts/main.R \
--data_file <input_file> \
--method <pearson|spearman> \
--x_var <variable_name> \
--y_var <variable_name> \
--output_dir <output_dir>optparse, data.table.Rscript -e 'install.packages(c("optparse", "data.table"), repos="https://cloud.r-project.org")'.| Argument | Required | Description |
|---|---|---|
--data_file | Yes | Input data file in CSV, TXT, or TSV format |
--method | No | Correlation method: pearson or spearman. Default pearson |
--x_var | No | First variable name. It can match a column name or a first-column row label. Default variable1 |
--y_var | No | Second variable name. It can match a column name or a first-column row label. Default variable2 |
--output_dir | No | Output directory, default ./Correlation_Results |
--alternative | No | two.sided, less, or greater. Default two.sided |
--conf_level | No | Confidence level between 0 and 1, default 0.95 |
--output_format | No | csv or txt, default csv |
--output_prefix | No | Output filename prefix, default correlation |
Example input:
variable1,variable2
10.2,8.5
11.5,9.2
9.8,7.9scripts/main.R with the requested method and variable names.table/.If you omit --data_file, the script exits with SKILL_MISSING_INPUT.
Expected output structure:
<output_dir>/
├── table/
├── figure/
└── data/Primary result file:
table/<output_prefix>_<method>.csvtable/<output_prefix>_<method>.txtResult fields include:
methodcorrelationstatisticp_valueconf_lowconf_highsample_sizex_variabley_variablevariable_orientationpearson for linear relationships between continuous variables.spearman for monotonic relationships, non-normal data, or outlier-prone data.| Need | File |
|---|---|
| Statistical details and assumptions | references/algorithm.md |
| More CLI examples | references/cli-guide.md |
| Error diagnosis | references/troubleshooting.md |
| Main execution entry point | scripts/main.R |
| Sample test data | tests/data/ |
Pearson:
Rscript scripts/main.R \
--data_file tests/data/sample_correlation_1.csv \
--method pearson \
--x_var variable1 \
--y_var variable2 \
--output_dir tests/output_pearsonSpearman:
Rscript scripts/main.R \
--data_file tests/data/sample_correlation_3.csv \
--method spearman \
--x_var "Activated CD8 T cell" \
--y_var "Central memory CD8 T cell" \
--output_dir tests/output_spearmanRscript scripts/main.R --helpRscript scripts/main.R \
--data_file tests/data/sample_correlation_1.csv \
--method pearson \
--x_var variable1 \
--y_var variable2 \
--output_dir tests/validation_outputAfter running analysis, verify that tests/validation_output/table/correlation_pearson.csv exists.
SKILL_FILE_NOT_FOUND: Input file path is wrong or inaccessible.SKILL_MISSING_COLUMNS: One or both requested variables are missing.SKILL_INVALID_DATA: Input data is malformed or unsuitable for analysis.SKILL_INVALID_PARAMETER: An argument value is invalid.SKILL_INSUFFICIENT_DATA: Too few complete observations remain after filtering.SKILL_DEPENDENCY_MISSING: A required R package such as optparse or data.table is unavailable.If the issue is not obvious, read references/troubleshooting.md.
© aipoch, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 11 other files (scripts, references) in awesome-med-research-skills/Data Analysis/sample-correlation-analysis of aipoch/medical-research-skills.
Open the folder on GitHubat commit 686e09d
Sample Correlation 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 |
|---|---|---|---|---|---|---|
| Sample Correlation Analysis this skillaipoch/medical-research-skills | 2k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Excel and CSV Data Analysisbytedance/deer-flow | 83k | 4 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Exploratory Data AnalysisOleafly/Oleafly | 206 | 3 repos | ~3.4k | Automated safety check: Notes | MIT | |
| CSV Data Summarizercoffeefuelbump/csv-data-summarizer-claude-skill | 468 | 2 repos | ~1.4k | Automated safety check: Pass | None | |
| Raccoon DataanalysisSenseTime-Copilot/raccoon-dataanalysis-skill | 137 | — | ~1.9k | Automated safety check: Pass | None | |
| Football Match Reportricardoherediaj/football-analytics-tutorials | 119 | — | ~2.7k | Automated safety check: Pass | MIT |
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Categories
A skill your agent uses when performing correlation analysis between two variables including Pearson and Spearman correlation methods. Sample Correlation Analysis is an agent skill from aipoch/medical-research-skills. Use when performing correlation analysis between two variables including Pearson and Spearman correlation methods.
Sample Correlation Analysis fits situations like: performing correlation analysis between two variables including Pearson and Spearman correlation methods; tasks that involve CSV and tabular files.
Run `npx skills add aipoch/medical-research-skills --skill sample-correlation-analysis -a claude-code`. Or copy the skill folder (awesome-med-research-skills/Data Analysis/sample-correlation-analysis in aipoch/medical-research-skills) into .claude/skills/sample-correlation-analysis in your project. Claude Code loads it when a task matches its description.
Run `npx skills add aipoch/medical-research-skills --skill sample-correlation-analysis -a codex`. Or copy the skill folder (awesome-med-research-skills/Data Analysis/sample-correlation-analysis in aipoch/medical-research-skills) into .agents/skills/sample-correlation-analysis 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 aipoch/medical-research-skills --skill sample-correlation-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/sample-correlation-analysis, .gemini/skills/sample-correlation-analysis, .github/skills/sample-correlation-analysis and .opencode/skills/sample-correlation-analysis in your project.
Going by SKILL.md and its folder, Sample Correlation Analysis needs R for the scripts in its folder.
SKILL.md names 1 domain. In commands or code: cloud.r-project.org; the agent is likely to contact it when it follows the instructions. 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Sample Correlation Analysis is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.3k tokens (SKILL.md is roughly 5.1k 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 5.3k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Sample Correlation Analysis: Excel and CSV Data Analysis (bytedance/deer-flow, 83k stars), Exploratory Data Analysis (Oleafly/Oleafly, 206 stars), CSV Data Summarizer (coffeefuelbump/csv-data-summarizer-claude-skill, 468 stars) and Raccoon Dataanalysis (SenseTime-Copilot/raccoon-dataanalysis-skill, 137 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,974 GitHub stars. The repository holds 567 skills in this directory. The repository was last updated on September 17, 2026.
Source: aipoch/medical-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.