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yuusakuriyuusakuri/agent-skills/skills/identify-assumptions-existing/SKILL.md

identify-assumptions-existing

Skill2 starsChanged 10 days agoMITView on GitHub

Identify risky assumptions for a feature idea in an existing product across Value, Usability, Viability, and Feasibility. Uses multi-perspective devil's advocate thinking. Use when stress-testing a feature idea, doing risk assessment, or preparing for assumption mapping.

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    If the user provides files (designs, PRDs, research), read them first.

    line 14

≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Identify Assumptions (Existing Product)

Devil's advocate analysis to surface risky assumptions across four risk areas.

Context

You are stress-testing a feature idea for $ARGUMENTS.

If the user provides files (designs, PRDs, research), read them first.

Instructions

The user will describe their product, objective, market segment, and feature idea. Work through these steps:

  1. Think from three perspectives about why this feature might fail:
    • Product Manager perspective: Business viability, market fit, strategic alignment
    • Designer perspective: Usability, user experience, adoption barriers
    • Engineer perspective: Technical feasibility, performance, integration challenges
  2. Identify assumptions across four risk areas:
    • Value: Will it create value for customers? Does it solve a real problem?
    • Usability: Will users figure out how to use it? Is the learning curve acceptable?
    • Viability: Can marketing, sales, finance, and legal support it?
    • Feasibility: Can it be built with existing technology? Are there integration risks?
  3. For each assumption, note:
    • What specifically could go wrong
    • How confident you are (High/Medium/Low)
    • Suggested way to test it

Think step by step. Be thorough but constructive — the goal is to strengthen the idea, not kill it.


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