Scientific Brainstorming
Oleafly/Oleafly
Facilitates evidence-aware scientific ideation with independent generation, structured discussion, explicit assumptions, transparent evaluation, adversarial review, and decision logs.
Experiment design expert using pretotyping and lean validation for both new product concepts and existing product features.
Install Brainstorm Experiments
$ npx skills add borghei/Claude-Skills --skill brainstorm-experiments -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install borghei/Claude-Skills brainstorm-experiments --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/borghei/Claude-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/project-management/discovery/brainstorm-experiments .claude/skills/brainstorm-experiments && 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 "brainstorm-experiments" agent skill from https://github.com/borghei/Claude-Skills/tree/main/project-management/discovery/brainstorm-experiments into .claude/skills/brainstorm-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "brainstorm-experiments", 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/borghei/Claude-Skills/tree/main/project-management/discovery/brainstorm-experimentsType 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 borghei/Claude-Skills --skill brainstorm-experiments -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install borghei/Claude-Skills brainstorm-experiments --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/project-management/discovery/brainstorm-experiments .agents/skills/brainstorm-experiments && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "brainstorm-experiments" agent skill from https://github.com/borghei/Claude-Skills/tree/main/project-management/discovery/brainstorm-experiments into .agents/skills/brainstorm-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "brainstorm-experiments", 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 borghei/Claude-Skills --skill brainstorm-experiments -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install borghei/Claude-Skills brainstorm-experiments --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/project-management/discovery/brainstorm-experiments .cursor/skills/brainstorm-experiments && 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 "brainstorm-experiments" agent skill from https://github.com/borghei/Claude-Skills/tree/main/project-management/discovery/brainstorm-experiments into .cursor/skills/brainstorm-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "brainstorm-experiments", 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/borghei/Claude-Skills.git --path project-management/discovery/brainstorm-experiments--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 borghei/Claude-Skills --skill brainstorm-experiments -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install borghei/Claude-Skills brainstorm-experiments --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/project-management/discovery/brainstorm-experiments .gemini/skills/brainstorm-experiments && 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 "brainstorm-experiments" agent skill from https://github.com/borghei/Claude-Skills/tree/main/project-management/discovery/brainstorm-experiments into .gemini/skills/brainstorm-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "brainstorm-experiments", 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 borghei/Claude-Skills brainstorm-experimentsInstalls 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 borghei/Claude-Skills --skill brainstorm-experiments -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/project-management/discovery/brainstorm-experiments .github/skills/brainstorm-experiments && 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 "brainstorm-experiments" agent skill from https://github.com/borghei/Claude-Skills/tree/main/project-management/discovery/brainstorm-experiments into .github/skills/brainstorm-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "brainstorm-experiments", 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 borghei/Claude-Skills --skill brainstorm-experiments -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install borghei/Claude-Skills brainstorm-experiments --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/project-management/discovery/brainstorm-experiments .opencode/skills/brainstorm-experiments && 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 "brainstorm-experiments" agent skill from https://github.com/borghei/Claude-Skills/tree/main/project-management/discovery/brainstorm-experiments into .opencode/skills/brainstorm-experiments/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "brainstorm-experiments", 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
brainstorm-experiments- GitHub stars
- 881
- Token cost
- ~1.7k tokens
- SKILL.md length
- 746 words
- Files
- 7 (incl. scripts, references, assets)
- Skills in repo
- 349
- Repo updated
- First seen
- Licence
- MIT
At a glance
Experiment design expert using pretotyping and lean validation for both new product concepts and existing product features.
- Tasks that involve Brainstorming
- SKILL.md covers Overview, Core Capabilities, When to Use and Clarify First, plus 5 more sections
- Runs Python scripts from its folder; calls python3
- Tasks that involve Experimental design
What it does
Brainstorm Experiments is an agent skill from borghei/Claude-Skills. Experiment design expert using pretotyping and lean validation for both new product concepts and existing product features.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts, reference files and assets (for example `assets/experiment_plan_template.md`, `examples/ai-summarization-willingness-to-pay-experiment.md` and `references/experiment-methods.md`).
It sits in Agent Workflows, covering Brainstorming and Experimental design. The repository describes itself as: 385 AI skills, 77 expert agents, and 900 stdlib Python tools for every team: engineering, PM, marketing, C-level, compliance, business ops, research, and a LinkedIn toolkit… The licence is MIT.
When your agent uses it
- Tasks that involve Brainstorming
- Tasks that involve Experimental design
Example prompts
- “/brainstorm-experiments”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 4a698e8. 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
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
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
Brainstorm Experiments loads about 1.7k tokens when it runs, and up to ~9.1k if it reads all its reference files. Until then it costs about 37 tokens; SKILL.md has 746 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); the scripts in this folder are not scanned.
SKILL.md
The full file from borghei/Claude-Skills at commit 4a698e8, republished under its MIT licence (© borghei). 746 words, ~1,683 tokens.
Download SKILL.mdSave it as
.claude/skills/brainstorm-experiments/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.- name
- brainstorm-experiments
- description
- Experiment design expert using pretotyping and lean validation for both new product concepts and existing product features.
- license
- MIT + Commons Clause
- metadata.version
- 1.0.1
- metadata.author
- borghei
- metadata.category
- project-management
- metadata.domain
- product-discovery
- metadata.updated
- 2026-06-15
- metadata.python-tools
- experiment_designer.py
- metadata.tech-stack
- pretotyping, lean-validation, ab-testing, xyz-hypothesis
Experiment Design Expert
Overview
Design fast, low-cost experiments to validate product hypotheses before committing to full development. This skill applies Alberto Savoia's pretotyping philosophy ("Make sure you are building The Right It before you build It right") alongside lean experimentation methods for both new and existing products.
Core Capabilities
- XYZ hypotheses — frame every test as "At least X% of Y will do Z" with a pre-set pass/fail threshold.
- SITG + YODA discipline — prefer skin-in-the-game signals (money, time, reputation) and Your Own Data over surveys and benchmarks.
- Method selection — landing page, explainer video, pre-order, concierge MVP (new products); fake door, feature stub, A/B test, Wizard of Oz, in-app survey (existing).
- 5-step process — hypothesis, method, metric/threshold, timeboxed run, evaluate (pass/fail/inconclusive).
- Automated design —
experiment_designer.pysuggests 2-3 experiments per hypothesis with metric, threshold, effort, and duration.
When to Use
- You have a product idea or feature hypothesis and need to validate it cheaply.
- You want to test willingness to pay or genuine user interest, not just stated preference.
- You need to choose the right experiment method for your context (new vs. existing product).
Clarify First
Before designing the experiment, confirm these inputs. If any is unknown or vague, ASK — do not assume:
- Hypothesis to test — the specific belief stated as "At least X% of Y will do Z" (drives
hypothesis_textand the pass/fail threshold) - Product type — new vs existing (selects the method catalog: landing page / pre-order / concierge vs fake door / feature stub / A-B test)
- Target segment — who "Y" is in the hypothesis (drives the metric and who you expose the test to)
- Available SITG signal — what skin-in-the-game you can capture (money, time, reputation) given budget/tooling (narrows realistic methods)
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
Quick Start
python3 scripts/experiment_designer.py --demo # built-in sample (3 hypotheses)
python3 scripts/experiment_designer.py input.json # design experiments for your hypotheses
python3 scripts/experiment_designer.py input.json --format jsonEach hypothesis needs hypothesis_text, target_segment, and product_type (new/existing). Document each experiment with assets/experiment_plan_template.md.
Prototype-First Experiments
AI app builders, AI design tools, and AI coding assistants can produce a clickable or working prototype in hours. Treat it as one more experiment method, with the same XYZ hypothesis and pre-set threshold:
- Use it when the riskiest assumption is usability or desirability of a specific interaction. For demand ("will anyone want this at all?"), a landing page, fake door, or pre-order is still cheaper and more honest.
- Test it with 5-8 target users on scripted tasks; measure task success and errors, not compliments. Say plainly that it is a prototype.
- Guard the data — use synthetic data; do not load customer PII into third-party tools without approval.
- Record the outcome in
assets/experiment_plan_template.md, then carry validated results intoexecution/create-prd/(Prototype-First Path) — the PRD still owns problem, metrics, constraints, non-goals, and risks.
Show full SKILL.md (296 more words)Show less
References
Load the reference that matches the task — keep this file lean and pull detail on demand:
- references/methodology-and-tools.md — the XYZ/SITG/YODA principles, the experiment-type catalog for new and existing products, the 5-step process,
experiment_designer.pyusage and flags, output template, troubleshooting, success criteria, and bibliography. Read when designing or scripting an experiment. - references/experiment-methods.md — Savoia's pretotyping manifesto and pretotype types, the full lean-experiment catalog (discovery and validation), metric selection guide, threshold-setting framework, sample-size rules of thumb, and 8 common pitfalls. Read for the deep method reference.
- references/red-flags.md — anti-patterns (confirmation-biased design, no pre-set threshold, vanity metrics, peeking) with bad/good experiment specs. Read before running an experiment.
Scope & Limitations
In Scope: XYZ hypothesis formulation and validation; experiment method selection for new products (landing page, pre-order, concierge, explainer video) and existing products (fake door, feature stub, A/B test, Wizard of Oz, in-app survey); automated experiment design from hypothesis keyword analysis; metric selection, success threshold definition, and effort/duration estimation.
Out of Scope: statistical power analysis or sample size calculation (use dedicated A/B test platforms); experiment infrastructure setup (feature flags, analytics instrumentation); running the actual experiment (this skill designs, not executes); long-term product strategy or roadmap decisions (execution/outcome-roadmap/).
Important Caveats: pretotyping validates demand and value, not usability or performance; in-app surveys are the weakest SITG signal — use only when behavioral experiments are impractical; the tool's keyword-to-signal matching is heuristic — override when domain knowledge dictates a better method.
Integration Points
| Integration | Direction | Description |
|---|---|---|
brainstorm-ideas/ | Receives from | Ideas generated become hypotheses for experiment design |
identify-assumptions/ | Receives from | "Test Now" assumptions become hypotheses for this skill |
pre-mortem/ | Feeds into | Experiment results inform pre-mortem risk assessment before full build |
execution/create-prd/ | Feeds into | Validated hypotheses become PRD assumptions with evidence |
execution/brainstorm-okrs/ | Feeds into | Experiment metrics may become OKR key results |
execution/outcome-roadmap/ | Feeds into | Experiment outcomes inform Now/Next/Later roadmap placement |
© borghei, 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 6 other files (scripts, references, assets) in project-management/discovery/brainstorm-experiments of borghei/Claude-Skills.
- SKILL.md
- assets/experiment_plan_template.md
- examples/ai-summarization-willingness-to-pay-experiment.md
- references/experiment-methods.md
- references/methodology-and-tools.md
- references/red-flags.md
- scripts/experiment_designer.py
Open the folder on GitHubat commit 4a698e8
Compare with similar skills
Brainstorm 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Brainstorm Experiments this skillborghei/Claude-Skills | 881 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Scientific BrainstormingOleafly/Oleafly | 206 | 2 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Academic GrillExekiel179/psyclaw | 103 | — | ~2k | Automated safety check: Pass | MIT | |
| Idea Discovery PipelineGRIND-Lab-Core/night_owl_research_agent | 106 | — | ~4.4k | Automated safety check: Warn | None | |
| Academic Researchvoidful/academic-skills | 133 | — | ~887 | Automated safety check: Pass | MIT | |
| Medical Research Gap To Study Planneraipoch/medical-research-skills | 2k | — | ~3.6k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Brainstorm Experiments
What does Brainstorm Experiments do?
Experiment design expert using pretotyping and lean validation for both new product concepts and existing product features. Brainstorm Experiments is an agent skill from borghei/Claude-Skills. Experiment design expert using pretotyping and lean validation for both new product concepts and existing product features.
When should I use Brainstorm Experiments?
Brainstorm Experiments fits situations like: tasks that involve Brainstorming; tasks that involve Experimental design.
How do I install Brainstorm Experiments in Claude Code?
Run `npx skills add borghei/Claude-Skills --skill brainstorm-experiments -a claude-code`. Or copy the skill folder (project-management/discovery/brainstorm-experiments in borghei/Claude-Skills) into .claude/skills/brainstorm-experiments in your project. Claude Code loads it when a task matches its description.
How do I install Brainstorm Experiments in Codex?
Run `npx skills add borghei/Claude-Skills --skill brainstorm-experiments -a codex`. Or copy the skill folder (project-management/discovery/brainstorm-experiments in borghei/Claude-Skills) into .agents/skills/brainstorm-experiments in your project. Codex loads it when a task matches its description.
Can I use Brainstorm 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 borghei/Claude-Skills --skill brainstorm-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/brainstorm-experiments, .gemini/skills/brainstorm-experiments, .github/skills/brainstorm-experiments and .opencode/skills/brainstorm-experiments in your project.
What does Brainstorm Experiments need to run?
Going by SKILL.md and its folder, Brainstorm Experiments needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Brainstorm 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 Brainstorm 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Brainstorm Experiments use?
Brainstorm Experiments 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 Brainstorm Experiments use?
About 1.7k tokens (SKILL.md is roughly 6.7k 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 7.4k tokens, read only when the agent opens those files.
What are the alternatives to Brainstorm Experiments?
Skills that share tags, products or a category with Brainstorm Experiments: Scientific Brainstorming (Oleafly/Oleafly, 206 stars), Academic Grill (Exekiel179/psyclaw, 103 stars), Idea Discovery Pipeline (GRIND-Lab-Core/night_owl_research_agent, 106 stars) and Academic Research (voidful/academic-skills, 133 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Brainstorm Experiments?
borghei (a GitHub user) maintains it in borghei/Claude-Skills, which has 881 GitHub stars. The repository holds 349 skills in this directory. The repository was last updated on October 7, 2026.
Source: borghei/Claude-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.