Create XYZ hypotheses and design pretotype experiments to validate a new product concept with minimal effort.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionbrainstorm-experiments-newExecute the skills CLI command in your project's root directory to begin installation:
Fetches brainstorm-experiments-new from phuryn/pm-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate brainstorm-experiments-new. Access via /brainstorm-experiments-new in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Automate repetitive workflows and reduce manual effort
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Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
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Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
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Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Create XYZ hypotheses and design pretotype experiments to validate a new product concept with minimal effort.
You are helping validate a new product concept: $ARGUMENTS using lean startup methodology.
If the user provides files (market research, landing page mockups), read them first.
Create an XYZ Hypothesis in the form: "At least X% of Y will do Z"
Suggest 2-3 pretotype experiments to test the hypothesis with minimal effort. Consider:
Key principles (Alberto Savoia, The Right It):
For each experiment, specify the hypothesis being tested, the method, the metric, and the success threshold.
Think step by step. Save as markdown if substantial.
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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brainstorm-experiments-new is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
brainstorm-experiments-new has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: brainstorm-experiments-new is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in brainstorm-experiments-new — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
brainstorm-experiments-new fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
brainstorm-experiments-new reduced setup friction for our internal harness; good balance of opinion and flexibility.
brainstorm-experiments-new is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added brainstorm-experiments-new from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Registry listing for brainstorm-experiments-new matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in brainstorm-experiments-new — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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