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SKILL verified MIT Self-run

Brainstorm Experiments Existing

skill-phuryn-pm-skills-brainstorm-experiments-existing · by phuryn

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.

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Install

$ agentstack add skill-phuryn-pm-skills-brainstorm-experiments-existing

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

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:

  1. Clarify the idea and assumptions: Confirm what the team wants to build and what they need to validate.
  1. 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)
  1. 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
  1. 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

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

  • Author: phuryn
  • Source: phuryn/pm-skills
  • License: MIT
  • Homepage: https://www.productcompass.pm/p/pm-skills-2-red-team-ship

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.