Agent Skillsphuryn/pm-skills › brainstorm-experiments-existing

brainstorm-experiments-existing

GitHub

为现有产品假设设计低成本验证实验,如原型测试、A/B测试和技术探针,指导团队通过行为数据而非意见进行快速验证。

pm-product-discovery/skills/brainstorm-experiments-existing/SKILL.md phuryn/pm-skills

Trigger Scenarios

需要验证产品功能假设 规划低成本实验以测试想法 寻找产品验证方法

Install

npx skills add phuryn/pm-skills --skill brainstorm-experiments-existing -g -y
More Options

Non-standard path

npx skills add https://github.com/phuryn/pm-skills/tree/main/pm-product-discovery/skills/brainstorm-experiments-existing -g -y

Use without installing

npx skills use phuryn/pm-skills@brainstorm-experiments-existing

指定 Agent (Claude Code)

npx skills add phuryn/pm-skills --skill brainstorm-experiments-existing -a claude-code -g -y

安装 repo 全部 skill

npx skills add phuryn/pm-skills --all -g -y

预览 repo 内 skill

npx skills add phuryn/pm-skills --list

SKILL.md

Frontmatter
{
    "name": "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:

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

  2. 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)
  3. 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
  4. 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

Version History

  • 18468a9 Current 2026-07-25 10:32

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Version
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Indexed
2026-07-25 10:32

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