Statistical Analysis
spacering-net/codeg
Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting.
You must use this when selecting statistical tests, interpreting effect sizes, or conducting power analysis.
Install Quantitative Analysis
$ npx skills add poemswe/co-researcher --skill quantitative-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install poemswe/co-researcher quantitative-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/poemswe/co-researcher.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/quantitative-analysis .claude/skills/quantitative-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 "quantitative-analysis" agent skill from https://github.com/poemswe/co-researcher/tree/main/skills/quantitative-analysis into .claude/skills/quantitative-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quantitative-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/poemswe/co-researcher/tree/main/skills/quantitative-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 poemswe/co-researcher --skill quantitative-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install poemswe/co-researcher quantitative-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/poemswe/co-researcher.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/quantitative-analysis .agents/skills/quantitative-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 "quantitative-analysis" agent skill from https://github.com/poemswe/co-researcher/tree/main/skills/quantitative-analysis into .agents/skills/quantitative-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quantitative-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 poemswe/co-researcher --skill quantitative-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install poemswe/co-researcher quantitative-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/poemswe/co-researcher.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/quantitative-analysis .cursor/skills/quantitative-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 "quantitative-analysis" agent skill from https://github.com/poemswe/co-researcher/tree/main/skills/quantitative-analysis into .cursor/skills/quantitative-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quantitative-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/poemswe/co-researcher.git --path skills/quantitative-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 poemswe/co-researcher --skill quantitative-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install poemswe/co-researcher quantitative-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/poemswe/co-researcher.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/quantitative-analysis .gemini/skills/quantitative-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 "quantitative-analysis" agent skill from https://github.com/poemswe/co-researcher/tree/main/skills/quantitative-analysis into .gemini/skills/quantitative-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quantitative-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 poemswe/co-researcher quantitative-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 poemswe/co-researcher --skill quantitative-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/poemswe/co-researcher.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/quantitative-analysis .github/skills/quantitative-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 "quantitative-analysis" agent skill from https://github.com/poemswe/co-researcher/tree/main/skills/quantitative-analysis into .github/skills/quantitative-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quantitative-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 poemswe/co-researcher --skill quantitative-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 poemswe/co-researcher quantitative-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/poemswe/co-researcher.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/quantitative-analysis .opencode/skills/quantitative-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 "quantitative-analysis" agent skill from https://github.com/poemswe/co-researcher/tree/main/skills/quantitative-analysis into .opencode/skills/quantitative-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "quantitative-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
quantitative-analysis- GitHub stars
- 130
- Token cost
- ~841 tokens
- SKILL.md length
- 358 words
- Files
- 1
- Skills in repo
- 15
- Repo updated
- First seen
- Licence
- MIT
At a glance
You must use this when selecting statistical tests, interpreting effect sizes, or conducting power analysis.
- Works in 3 steps: Statistical Test Selection → Power & Effect Size Analysis → Advanced Modeling
- Tasks that involve Statistics
- SKILL.md covers 1. Statistical Test Selection, 2. Power & Effect Size Analysis and 3. Advanced Modeling
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Quantitative Analysis is an agent skill from poemswe/co-researcher. You must use this when selecting statistical tests, interpreting effect sizes, or conducting power analysis.
Its SKILL.md is about 840 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 Statistics and Experimental design. The repository describes itself as: A professional research suite for conducting rigorous academic research using specialized agents and multi-platform CLI commands. Compatible with Claude Code, Gemini CLI, OpenAI… The licence is MIT.
When your agent uses it
- Tasks that involve Statistics
- Tasks that involve Experimental design
Example prompts
- “/quantitative-analysis”
Workflow steps
3 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 28c966f. 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.
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
Quantitative Analysis loads about 841 tokens when it runs. Until then it costs about 33 tokens; SKILL.md has 358 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
The full file from poemswe/co-researcher at commit 28c966f, republished under its MIT licence (© poemswe). 358 words, ~841 tokens.
Download SKILL.mdSave it as
.claude/skills/quantitative-analysis/SKILL.md (or your agent's skills folder).- name
- quantitative-analysis
- description
- You must use this when selecting statistical tests, interpreting effect sizes, or conducting power analysis.
- tools
- WebSearch, WebFetch, Read, Grep, Glob
<role>
You are a PhD-level quantitative analyst and statistician specializing in frequentist and Bayesian inference. Your goal is to ensure the mathematical rigor, statistical validity, and correct interpretation of numerical research data while preventing common errors like p-hacking or misinterpretation of null results.
</role><principles>
- **Statistical Integrity**: Never fabricate data or statistical results. Every claim must follow from the data and appropriate tests.
- **Effect over Significance**: Prioritize effect sizes and confidence intervals over binary p-value interpretations ($p < .05$).
- **Assumption Checking**: Always verify and report if data meets the assumptions of the chosen statistical test (e.g., normality, homoscedasticity).
- **Uncertainty Calibration**: Clearly distinguish between correlation and causation. Use "suggests" or "associated with" for non-experimental data.
- **Rigor in Power**: Acknowledge the risk of Type II errors in underpowered studies.
</principles><competencies>1. Statistical Test Selection
| Question | Data Type | Recommended Test |
|---|---|---|
| Compare 2 groups | Continuous (Normal) | Independent t-test |
| Compare 2+ groups | Continuous (Normal) | One-way ANOVA |
| Relationship | Continuous | Pearson's r |
| Prediction | Continuous | Multiple Regression |
| Categorical diff | Counts | Chi-square |
2. Power & Effect Size Analysis
- Power Analysis: Calculating required $N$ for given $\alpha$ and $(1-\beta)$.
- Effect Sizes: Cohen's $d$, Pearson's $r$, $\eta^2$, Odds Ratios.
Show full SKILL.md (171 more words)Show less
3. Advanced Modeling
- Multilevel Modeling (HLM): For nested data structures.
- Structural Equation Modeling (SEM): For latent variable analysis.
- Non-parametric alternatives: Mann-Whitney U, Wilcoxon, Kruskal-Wallis.
</competencies><protocol>
1. **Data Inspection**: Analyze data distribution, scale, and missing values.
2. **Assumption Verification**: Test for normality, variance equality, and independence.
3. **Test Execution**: Apply the mathematically appropriate statistical model.
4. **Effect Qualification**: Calculate and report effect sizes and 95% CIs.
5. **Interpretation**: Provide a PhD-level explanation of findings, including limitations and "Practical Significance".
</protocol><output_format>
Quantitative Analysis: [Subject]
Data Audit: [Scale type] | [Normality/Assumptions check]
Statistical Findings:
- Test Used: [Name + Rationale]
- Results: [$t/F/\chi^2$ value, $df$, $p$-value]
- Effect Size: [Value + Qualitative descriptor]
- 95% Confidence Interval: [Lower, Upper]
Practical Significance: [Interpretation of findings in real-world/academic terms]
Threats to Statistical Validity: [Risk of Type I/II errors, confounding, etc.] </output_format>
<checkpoint>
After the numerical analysis, ask:
- Should I perform a sensitivity analysis to see how outliers affect the results?
- Do you want to explore non-parametric alternatives due to the distribution?
- Should I check for Multicollinearity in your regression model?
</checkpoint>© poemswe, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/quantitative-analysis of poemswe/co-researcher.
Open the folder on GitHubat commit 28c966f
Compare with similar skills
Quantitative 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 |
|---|---|---|---|---|---|---|
| Quantitative Analysis this skillpoemswe/co-researcher | 130 | — | ~841 | Automated safety check: Pass | MIT | |
| Statistical Analysisspacering-net/codeg | 3.8k | 3 repos | ~5k | Automated safety check: Pass | MIT | |
| Statistical Powerspacering-net/codeg | 3.8k | 1 repos | ~3.6k | Automated safety check: Notes | MIT | |
| Data Scientistdavila7/claude-code-templates | 32k | 8 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Statistical Analystalirezarezvani/claude-skills | 28k | 1 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Experimentation Analyticsrampstackco/claude-skills | 935 | 1 repos | ~8.9k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Quantitative Analysis
What does Quantitative Analysis do?
You must use this when selecting statistical tests, interpreting effect sizes, or conducting power analysis. Quantitative Analysis is an agent skill from poemswe/co-researcher. You must use this when selecting statistical tests, interpreting effect sizes, or conducting power analysis.
When should I use Quantitative Analysis?
Quantitative Analysis fits situations like: tasks that involve Statistics; tasks that involve Experimental design.
How do I install Quantitative Analysis in Claude Code?
Run `npx skills add poemswe/co-researcher --skill quantitative-analysis -a claude-code`. Or copy the skill folder (skills/quantitative-analysis in poemswe/co-researcher) into .claude/skills/quantitative-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Quantitative Analysis in Codex?
Run `npx skills add poemswe/co-researcher --skill quantitative-analysis -a codex`. Or copy the skill folder (skills/quantitative-analysis in poemswe/co-researcher) into .agents/skills/quantitative-analysis in your project. Codex loads it when a task matches its description.
Can I use Quantitative 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 poemswe/co-researcher --skill quantitative-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/quantitative-analysis, .gemini/skills/quantitative-analysis, .github/skills/quantitative-analysis and .opencode/skills/quantitative-analysis in your project.
What does Quantitative Analysis need to run?
SKILL.md names no scripts, command-line tools or credentials: Quantitative Analysis is instructions for the agent only.
Does Quantitative 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 Quantitative 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 Quantitative Analysis use?
Quantitative Analysis is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Quantitative Analysis use?
About 841 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.
What are the alternatives to Quantitative Analysis?
Skills that share tags, products or a category with Quantitative Analysis: Statistical Analysis (spacering-net/codeg, 3.8k stars), Statistical Power (spacering-net/codeg, 3.8k stars), Data Scientist (davila7/claude-code-templates, 32k stars) and Statistical Analyst (alirezarezvani/claude-skills, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Quantitative Analysis?
poemswe (a GitHub user) maintains it in poemswe/co-researcher, which has 130 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on October 7, 2026.
Source: poemswe/co-researcher on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.