brainstorm-experiments-existing
Design experiments to test assumptions for an existing product — prototypes, A/B tests, spikes, and other low-effort validation methods
Install / Use
npx skills add phuryn/pm-skills --skill brainstorm-experiments-existingInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
DesignSupported Platforms
Our assessment of brainstorm-experiments-existing
brainstorm-experiments-existing scores 77/100 on our quality scale, 115th of 156 Design skills we index.
Its SKILL.md is 2.3 KB long, split into 4 sections and no code examples: moderately detailed.
With 26,568 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 11 days ago, so brainstorm-experiments-existing is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-09-25. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
brainstorm-experiments-existing compared with similar skills
All 4 of these similar skills score higher than brainstorm-experiments-existing; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| brainstorm-experiments-existing (this skill)by phuryn | 77 | 26.6k | 11d ago | SKILL.md |
| algorithmic-artby anthropics | 100 | 177.9k | 3d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 3d ago | SKILL.md |
| designby nextlevelbuilder | 100 | 130.2k | 4d ago | SKILL.md |
| ui-ux-pro-maxby nextlevelbuilder | 100 | 130.2k | 4d ago | SKILL.md |
Frequently asked questions
- How do I install brainstorm-experiments-existing?
- Run
npx skills add phuryn/pm-skills --skill brainstorm-experiments-existing. The install tabs above show the steps for each supported agent. - Which AI agents does brainstorm-experiments-existing work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is brainstorm-experiments-existing safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is brainstorm-experiments-existing still maintained?
- The repository was last updated 11 days ago, so brainstorm-experiments-existing is actively maintained.
Skill content
View source on GitHubname: brainstorm-experiments-existing description: "Design experiments to test assumptions for an existing product — prototypes, A/B tests, spikes, and other low-effort validation methods. Use when validating assumptions, testing feature ideas cheaply, or planning product experiments."
Design Experiments (Existing Product)
Design low-effort experiments to test product assumptions before committing to full implementation.
Context
You are helping a product team design experiments for $ARGUMENTS. The team has a feature idea and assumptions that need validation.
If the user provides files (PRDs, assumption lists, designs), read them first.
Instructions
The user will describe their idea and assumptions. Work through these steps:
-
Clarify the idea and assumptions: Confirm what the team wants to build and what they need to validate.
-
Suggest experiments for each assumption. Consider methods like:
- First-click testing or task completion with a prototype
- Feature stubs or fake door tests
- Technical spikes
- A/B tests on production (with risk mitigation)
- Wizard of Oz approaches
- Survey-based validation (behavioral, not opinion-based)
-
Key principles to follow:
- Measure actual behavior, not users' opinions
- Test responsibly — don't put users or the business at risk
- For production tests (e.g., A/B tests), explain risk mitigation strategies
- Aim for maximum validated learning with minimal effort
-
For each experiment, specify:
- Assumption: What do we believe?
- Experiment: What exactly will we do to validate it?
- Metric: What will be measured?
- Success threshold: The expected value if we are right
Think step by step. Present experiments in a clear table or structured format. Save as markdown if substantial.
Further Reading
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.