Scientific Critical Thinking
weapp-tailwindcss/weapp-tailwindcss
Evaluate research rigor. An agent skill from weapp-tailwindcss/weapp-tailwindcss.
Design scientific experiments including sample size calculation, randomization, control groups, blinding, and study protocols.
Install Experiment Design
$ npx skills add aipoch/medical-research-skills --skill experiment-design -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aipoch/medical-research-skills experiment-design --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/'scientific-skills/Protocol Design/experiment-design' .claude/skills/experiment-design && 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 "experiment-design" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Protocol%20Design/experiment-design into .claude/skills/experiment-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-design", 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/scientific-skills/Protocol%20Design/experiment-designType 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 experiment-design -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aipoch/medical-research-skills experiment-design --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/'scientific-skills/Protocol Design/experiment-design' .agents/skills/experiment-design && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "experiment-design" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Protocol%20Design/experiment-design into .agents/skills/experiment-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-design", 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 experiment-design -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aipoch/medical-research-skills experiment-design --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/'scientific-skills/Protocol Design/experiment-design' .cursor/skills/experiment-design && 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 "experiment-design" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Protocol%20Design/experiment-design into .cursor/skills/experiment-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-design", 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 'scientific-skills/Protocol Design/experiment-design'--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 experiment-design -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aipoch/medical-research-skills experiment-design --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/'scientific-skills/Protocol Design/experiment-design' .gemini/skills/experiment-design && 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 "experiment-design" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Protocol%20Design/experiment-design into .gemini/skills/experiment-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-design", 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 experiment-designInstalls 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 experiment-design -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/'scientific-skills/Protocol Design/experiment-design' .github/skills/experiment-design && 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 "experiment-design" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Protocol%20Design/experiment-design into .github/skills/experiment-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-design", 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 experiment-design -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 experiment-design --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/'scientific-skills/Protocol Design/experiment-design' .opencode/skills/experiment-design && 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 "experiment-design" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Protocol%20Design/experiment-design into .opencode/skills/experiment-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-design", 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
experiment-design- GitHub stars
- 2k
- Token cost
- ~1.5k tokens
- SKILL.md length
- 383 words
- Files
- 3
- Skills in repo
- 567
- Repo updated
- First seen
- Licence
- MIT
At a glance
Design scientific experiments including sample size calculation, randomization, control groups, blinding, and study protocols.
- User asks to design an experiment
- SKILL.md covers Design Selection Guide, Power Analysis & Sample Size, Key Design Principles and Study Protocol Template, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Tasks that involve Experimental design
What it does
Experiment Design is an agent skill from aipoch/medical-research-skills. Design scientific experiments including sample size calculation, randomization, control groups, blinding, and study protocols. Covers RCTs, quasi-experiments, factorial designs, A/B tests, survey design, and observational studies. Use when user asks to design an experiment, ca...
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `POLISH_CHANGELOG.md` and `eval_report_experiment-design_result.json`).
It sits in Research & Science, covering Experimental design. 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.
When your agent uses it
- User asks to design an experiment
- Tasks that involve Experimental design
Example prompts
- “/experiment-design”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 686e09d. 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 and markdown).
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
Experiment Design loads about 1.5k tokens when it runs. Until then it costs about 75 tokens; SKILL.md has 383 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 aipoch/medical-research-skills at commit 686e09d, republished under its MIT licence (© aipoch). 383 words, ~1,456 tokens.
Download SKILL.mdSave it as
.claude/skills/experiment-design/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- experiment-design
- description
- Design scientific experiments including sample size calculation, randomization, control groups, blinding, and study protocols. Covers RCTs, quasi-experiments, factorial designs, A/B tests, survey design, and observational studies. Use when user asks to design an experiment, ca...
- license
- MIT
- author
- AIPOCH
Experiment Design
Scientific experiment planning, power analysis, and protocol development.
Design Selection Guide
| Research Question | Recommended Design |
|---|---|
| Does X cause Y? | RCT (gold standard) |
| Does X cause Y? (can't randomize) | Quasi-experiment, natural experiment |
| How do factors interact? | Factorial design |
| Which version performs better? | A/B test |
| What is the prevalence/association? | Cross-sectional survey |
| How does outcome change over time? | Longitudinal / cohort study |
| What is the lived experience? | Qualitative (interviews, ethnography) |
| Does intervention work in practice? | Pragmatic trial |
Power Analysis & Sample Size
source /Users/zhangmingda/clawd/.venv/bin/activate
python3 << 'EOF'
from scipy import stats
import numpy as np
# --- Two-sample t-test ---
def sample_size_ttest(effect_size, alpha=0.05, power=0.80):
"""Cohen's d effect sizes: small=0.2, medium=0.5, large=0.8"""
from scipy.stats import norm
z_alpha = norm.ppf(1 - alpha/2)
z_beta = norm.ppf(power)
n = 2 * ((z_alpha + z_beta) / effect_size) ** 2
return int(np.ceil(n))
# --- Chi-square test ---
def sample_size_chi2(effect_size, alpha=0.05, power=0.80, df=1):
"""Cohen's w effect sizes: small=0.1, medium=0.3, large=0.5"""
from scipy.stats import norm, chi2
z_beta = norm.ppf(power)
z_alpha = norm.ppf(1 - alpha)
n = ((z_alpha + z_beta) / effect_size) ** 2
return int(np.ceil(n))
# --- Correlation ---
def sample_size_correlation(r, alpha=0.05, power=0.80):
from scipy.stats import norm
z_alpha = norm.ppf(1 - alpha/2)
z_beta = norm.ppf(power)
z_r = 0.5 * np.log((1+r)/(1-r)) # Fisher's z
n = ((z_alpha + z_beta) / z_r) ** 2 + 3
return int(np.ceil(n))
# Examples
print(f"t-test (d=0.5): n={sample_size_ttest(0.5)} per group")
print(f"t-test (d=0.3): n={sample_size_ttest(0.3)} per group")
print(f"Chi-square (w=0.3): n={sample_size_chi2(0.3)}")
print(f"Correlation (r=0.3): n={sample_size_correlation(0.3)}")
EOFKey Design Principles
Controls
- Positive control: Known to produce effect (validates method works)
- Negative control: Known to produce no effect (validates baseline)
- Placebo control: Inert treatment (controls for expectation effects)
- Active control: Existing standard treatment (for superiority/non-inferiority)
Randomization
- Simple: Coin flip / random number
- Block: Ensures equal groups per block
- Stratified: Randomize within strata (age, sex, severity)
- Cluster: Randomize groups, not individuals
Blinding
- Single-blind: Participants don't know assignment
- Double-blind: Participants and researchers don't know
- Triple-blind: Participants, researchers, and analysts don't know
Bias Mitigation
| Bias | Mitigation |
|---|---|
| Selection bias | Random sampling, clear inclusion criteria |
| Allocation bias | Random assignment, concealed allocation |
| Performance bias | Blinding, standardized protocols |
| Detection bias | Blinded outcome assessment |
| Attrition bias | ITT analysis, minimize dropout |
| Reporting bias | Pre-registration, analysis plan |
Study Protocol Template
# Study Protocol: [Title]
## 1. Background & Rationale
## 2. Objectives & Hypotheses
- Primary:
- Secondary:
## 3. Study Design
- Type: [RCT / quasi-experiment / observational / ...]
- Duration:
## 4. Participants
- Population:
- Inclusion criteria:
- Exclusion criteria:
- Sample size: N = [calculated], power = 0.80, α = 0.05
## 5. Intervention / Exposure
## 6. Outcome Measures
- Primary:
- Secondary:
## 7. Randomization & Blinding
## 8. Data Collection Procedures
## 9. Statistical Analysis Plan
- Primary analysis:
- Secondary analyses:
- Handling of missing data:
## 10. Ethical Considerations
- IRB/Ethics approval:
- Informed consent:
- Data privacy:
## 11. Timeline
## 12. BudgetPre-registration
Recommend pre-registration for confirmatory studies:
- OSF: osf.io (general)
- ClinicalTrials.gov: clinical trials
- PROSPERO: systematic reviews
- AsPredicted: aspredicted.org (quick)
Show full SKILL.md (163 more words)Show less
Tips
- Always justify sample size with power analysis
- Pre-register hypotheses and analysis plan
- Plan for 10-20% attrition in sample size calculation
- Document all deviations from protocol
- Consider pilot study for novel methods
Error Handling
- If required inputs are missing, state exactly which fields are missing and request only the minimum additional information.
- If the task goes outside the documented scope, stop instead of guessing or silently widening the assignment.
- If execution fails, report the failure point, summarize what can still be completed safely, and provide a manual fallback.
- Do not fabricate files, citations, data, search results, or execution outcomes.
Input Validation
This skill accepts requests that match the documented purpose of experiment-design and include enough context to complete the workflow safely.
Do not continue the workflow when the request is out of scope, missing a critical input, or would require unsupported assumptions. Instead respond:
experiment-designonly handles its documented workflow. Please provide the missing required inputs or switch to a more suitable skill.
© aipoch, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files in scientific-skills/Protocol Design/experiment-design of aipoch/medical-research-skills.
- SKILL.md
- POLISH_CHANGELOG.md
- eval_report_experiment-design_result.json
Open the folder on GitHubat commit 686e09d
Compare with similar skills
Experiment Design 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 |
|---|---|---|---|---|---|---|
| Experiment Design this skillaipoch/medical-research-skills | 2k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Scientific Critical Thinkingweapp-tailwindcss/weapp-tailwindcss | 1.9k | 23 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Claim-Driven Experiment PlannerzjYao36/Auto-Research-Refine | 128 | 7 repos | ~2.3k | Automated safety check: Notes | None | |
| Benchmark Paper TemplateHKUSTDial/Supervisor-Skills | 8.5k | — | ~2.8k | Automated safety check: Pass | CC-BY-4.0 | |
| Research Refine PipelinezjYao36/Auto-Research-Refine | 128 | 6 repos | ~1.4k | Automated safety check: Notes | None | |
| Metabolic Study Planneraiming-lab/AutoResearchClaw | 15k | — | ~1.9k | Automated safety check: Pass | MIT |
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Claim-Driven Experiment Planner
zjYao36/Auto-Research-Refine
Turns a refined research proposal into a claim-to-evidence-to-run-order roadmap instead of a sprawling benchmark wishlist.
Benchmark Paper Template
HKUSTDial/Supervisor-Skills
Structures benchmark and evaluation papers around five pillars, with a completeness audit, an Introduction logic chain, a section skeleton and a pre-submission checklist.
Research Refine Pipeline
zjYao36/Auto-Research-Refine
Chains research-refine and experiment-plan to turn a vague research direction into a focused proposal and a claim-driven experiment roadmap.
Metabolic Study Planner
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Turns a broad metabolic modelling topic into a concrete, paper-shaped plan with organism, model, perturbations, metrics and figures before any FBA code is written.
Experimental Design
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Design experiments and studies BEFORE data is collected — choosing a design, randomizing, blocking, and laying out treatment combinations so results are interpretable.
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Related
Categories
Questions about Experiment Design
What does Experiment Design do?
Design scientific experiments including sample size calculation, randomization, control groups, blinding, and study protocols. Experiment Design is an agent skill from aipoch/medical-research-skills. Design scientific experiments including sample size calculation, randomization, control groups, blinding, and study protocols.
When should I use Experiment Design?
Experiment Design fits situations like: user asks to design an experiment; tasks that involve Experimental design.
How do I install Experiment Design in Claude Code?
Run `npx skills add aipoch/medical-research-skills --skill experiment-design -a claude-code`. Or copy the skill folder (scientific-skills/Protocol Design/experiment-design in aipoch/medical-research-skills) into .claude/skills/experiment-design in your project. Claude Code loads it when a task matches its description.
How do I install Experiment Design in Codex?
Run `npx skills add aipoch/medical-research-skills --skill experiment-design -a codex`. Or copy the skill folder (scientific-skills/Protocol Design/experiment-design in aipoch/medical-research-skills) into .agents/skills/experiment-design in your project. Codex loads it when a task matches its description.
Can I use Experiment Design 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 aipoch/medical-research-skills --skill experiment-design -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/experiment-design, .gemini/skills/experiment-design, .github/skills/experiment-design and .opencode/skills/experiment-design in your project.
What does Experiment Design need to run?
SKILL.md names no scripts, command-line tools or credentials: Experiment Design is instructions for the agent only. Our summary lists: Python 3.
Does Experiment Design 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 Experiment Design 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 Experiment Design use?
Experiment Design is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Experiment Design use?
About 1.5k tokens (SKILL.md is roughly 5.8k 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 Experiment Design?
Skills that share tags, products or a category with Experiment Design: Scientific Critical Thinking (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars), Claim-Driven Experiment Planner (zjYao36/Auto-Research-Refine, 128 stars), Benchmark Paper Template (HKUSTDial/Supervisor-Skills, 8.5k stars) and Research Refine Pipeline (zjYao36/Auto-Research-Refine, 128 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Experiment Design?
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.