Agent skill

Designing Experiments

by foryourhealth111-pixel in foryourhealth111-pixel/Vibe-Skills

Design experiments and quasi-experiments before analysis. An agent skill from foryourhealth111-pixel/Vibe-Skills.

Apache-2.0Auto-check passedResearch & Science

Install Designing Experiments

skills CLI
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill designing-experiments -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install foryourhealth111-pixel/Vibe-Skills designing-experiments --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/foryourhealth111-pixel/Vibe-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/bundled/skills/designing-experiments .claude/skills/designing-experiments && rm -rf skills-src

Use ~/.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/

Facts

Skill name
designing-experiments
GitHub stars
3.6k
Token cost
~600 tokens
SKILL.md length
240 words
Files
1
Skills in repo
81
Repo updated
First seen
Licence
Apache-2.0

At a glance

Design experiments and quasi-experiments before analysis. An agent skill from foryourhealth111-pixel/Vibe-Skills.

  • Works in 3 steps: Control Group? → Unit Structure? → Time Structure?
  • Choosing study design
  • SKILL.md covers Decision Framework, Method Quick Reference and Failed Experiment Recovery
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Designing Experiments is an agent skill from foryourhealth111-pixel/Vibe-Skills. Design experiments and quasi-experiments before analysis. Use when choosing study design, treatment/control structure, outcomes, assumptions, validation plans after scientific experiment failure, or which of DiD, ITS, synthetic control, or regression discontinuity fits the research question. For fitting models or estimating effects on existing data, use performing-causal-analysis instead.

Its SKILL.md is about 600 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 Research & Science, covering Econometrics and empirical research, Experimental design and Hypothesis generation. The repository describes itself as: Intelligent Skill routing and workflow orchestration for AI agents — +21.12 pp reward, −29.6% tokens on SkillsBench with DeepSeekV4Flash-VE. The licence is Apache-2.0.

When your agent uses it

  • Choosing study design
  • Treatment/control structure
  • Validation plans after scientific experiment failure
  • Synthetic control

Example prompts

  • “/designing-experiments”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Control Group?
  2. Unit Structure?
  3. Time Structure?

What it can do on your machine

Read from SKILL.md and the folder at commit ddcaa2a. 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

Designing Experiments loads about 600 tokens when it runs. Until then it costs about 103 tokens; SKILL.md has 240 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~103
When it runs · the whole SKILL.md, loaded when a task matches
~600

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 foryourhealth111-pixel/Vibe-Skills at commit ddcaa2a, republished under its Apache-2.0 licence (© foryourhealth111-pixel). 240 words, ~600 tokens.

Download SKILL.mdSave it as .claude/skills/designing-experiments/SKILL.md (or your agent's skills folder).
name
designing-experiments
description
Design experiments and quasi-experiments before analysis. Use when choosing study design, treatment/control structure, outcomes, assumptions, validation plans after scientific experiment failure, or which of DiD, ITS, synthetic control, or regression discontinuity fits the research question. For fitting models or estimating effects on existing data, use performing-causal-analysis instead.

Designing Experiments

Helps choose and specify a research design before data analysis starts. This skill owns study-design decisions: what is treated, what is compared, what outcome is measured, which assumptions are required, which validation or recovery experiment should follow a failed scientific experiment, and which design is defensible.

It does not fit causal models, estimate treatment effects, interpret fitted model output from existing data, or debug software/build failures.

Decision Framework

  1. Control Group?

    • Yes: Go to Step 2.
    • No: Consider Interrupted Time Series (ITS).
  2. Unit Structure?

    • Single Treated Unit:
      • With multiple controls: Synthetic Control (SC).
      • No controls: ITS.
    • Multiple Treated Units:
      • With control group: Difference-in-Differences (DiD).
  3. Time Structure?

    • Panel Data (Multiple units over time): Required for DiD and SC.
    • Time Series (Single unit over time): Required for ITS.

Method Quick Reference

  • Difference-in-Differences (DiD): Compares trend changes between treated and control groups. Assumes Parallel Trends.
  • Interrupted Time Series (ITS): Analyzes trend/level change for a single unit after intervention. Assumes Trend Continuity.
  • Synthetic Control (SC): Constructs a synthetic counterfactual from weighted control units. Assumes Convex Hull (treated unit within range of controls).

Failed Experiment Recovery

When a scientific experiment or optimization plan produces weak or contradictory results, use the same design surface to:

  • Separate implementation or measurement errors from design-assumption failures.
  • Identify which assumption should be tested next.
  • Define a minimal validation experiment before abandoning the approach.
  • State the decision rule for continuing, revising, or stopping the line of work.

© foryourhealth111-pixel, Apache-2.0. 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 bundled/skills/designing-experiments of foryourhealth111-pixel/Vibe-Skills.

Open the folder on GitHubat commit ddcaa2a

Compare with similar skills

Designing Experiments 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.

Designing Experiments compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Designing Experiments this skillforyourhealth111-pixel/Vibe-Skills3.6k—~600Automated safety check: PassApache-2.0
Claim-Driven Experiment PlannerzjYao36/Auto-Research-Refine1286 repos~2.3kAutomated safety check: NotesNone
Metabolic Study Planneraiming-lab/AutoResearchClaw15k—~1.9kAutomated safety check: PassMIT
Research RefinezjYao36/Auto-Research-Refine1286 repos~6.9kAutomated safety check: NotesNone
Scientific BrainstormingOleafly/Oleafly2122 repos~3.5kAutomated safety check: PassMIT
Legal Abductive ReasoningTHUYRan/Legal-Skills-Chinese874—~4kAutomated safety check: PassNone

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Questions about Designing Experiments

What does Designing Experiments do?

Design experiments and quasi-experiments before analysis. An agent skill from foryourhealth111-pixel/Vibe-Skills. Designing Experiments is an agent skill from foryourhealth111-pixel/Vibe-Skills. Design experiments and quasi-experiments before analysis.

When should I use Designing Experiments?

Designing Experiments fits situations like: choosing study design; treatment/control structure; validation plans after scientific experiment failure; synthetic control.

How do I install Designing Experiments in Claude Code?

Run `npx skills add foryourhealth111-pixel/Vibe-Skills --skill designing-experiments -a claude-code`. Or copy the skill folder (bundled/skills/designing-experiments in foryourhealth111-pixel/Vibe-Skills) into .claude/skills/designing-experiments in your project. Claude Code loads it when a task matches its description.

How do I install Designing Experiments in Codex?

Run `npx skills add foryourhealth111-pixel/Vibe-Skills --skill designing-experiments -a codex`. Or copy the skill folder (bundled/skills/designing-experiments in foryourhealth111-pixel/Vibe-Skills) into .agents/skills/designing-experiments in your project. Codex loads it when a task matches its description.

Can I use Designing Experiments 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 foryourhealth111-pixel/Vibe-Skills --skill designing-experiments -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/designing-experiments, .gemini/skills/designing-experiments, .github/skills/designing-experiments and .opencode/skills/designing-experiments in your project.

What does Designing Experiments need to run?

SKILL.md names no scripts, command-line tools or credentials: Designing Experiments is instructions for the agent only.

Does Designing Experiments 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 Designing Experiments 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 Designing Experiments use?

Designing Experiments is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Designing Experiments use?

About 600 tokens (SKILL.md is roughly 2.4k 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 Designing Experiments?

Skills that share tags, products or a category with Designing Experiments: Claim-Driven Experiment Planner (zjYao36/Auto-Research-Refine, 128 stars), Metabolic Study Planner (aiming-lab/AutoResearchClaw, 15k stars), Research Refine (zjYao36/Auto-Research-Refine, 128 stars) and Scientific Brainstorming (Oleafly/Oleafly, 212 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Designing Experiments?

foryourhealth111-pixel (a GitHub user) maintains it in foryourhealth111-pixel/Vibe-Skills, which has 3,627 GitHub stars. The repository holds 81 skills in this directory. The repository was last updated on August 31, 2026.

Source: foryourhealth111-pixel/Vibe-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.