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Venture idea simulation

Skill ryuzo-k/yomira/skills/venture-idea-simulation

Simulate likely reactions to a new business idea, product concept, API, SaaS, service, or launch plan. Use when validating whether a venture direction may attract buyers, users, agencies, enterprises, or technical communities.From its SKILL.md

Install
npx -y skills add ryuzo-k/yomira --skill venture-idea-simulation

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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SKILL.md

1.7 KB, 359 tokens by cl100k_base, as published. Nobody here has run it

Venture Idea Simulation

Purpose

Use this skill to test a business idea before overbuilding or overlaunching.

This is not a market-size calculation. It is a reaction simulation:

  • who gets it immediately
  • who thinks it is fake, obvious, or a prompt wrapper
  • who would pay and why
  • what proof they need
  • what pricing feels plausible
  • which first segment is closest to money

Context Collection

Extract:

  • product/service/API idea
  • buyer/user candidates
  • pricing hypothesis
  • distribution channels
  • existing assets
  • founder credibility
  • alternatives being considered
  • what "success" means
  • time/cash goal

If the idea is vague, first ask for the artifact the market will see: landing page, offer, demo, X post, DM, or one-paragraph product description.

API Use

Use Yomira with:

{
  "artifact": {
    "type": "venture_concept",
    "content": "CONCRETE PRODUCT/OFFER DESCRIPTION"
  },
  "objective": "Decide which launch segment, pricing, and positioning to test first.",
  "audience": {
    "description": "Likely buyer/user segments and where they encounter the idea."
  },
  "simulation": {
    "target_n": 80,
    "max_agent_voices": 10,
    "max_output_tokens": 18000
  }
}

Output

Return:

  • first segment to sell to
  • segments that are curious but unlikely to pay
  • high-ticket angles
  • self-serve angles
  • proof needed before payment
  • likely pricing resistance
  • raw voices that reveal actual buying motives
  • next experiment to run

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most product growth skills give in 359 tokens

Counted across 728 of the 1,010 authors here whose files we hold, read 2026-08-07

  • Read product marketing context before asking questionsin 24 of 728, across 18 files
  • Define the ideal customer profilein 21 of 728, across 3 files
  • Document a rollback plan before deploymentin 21 of 728, across 12 files
  • Analyze the codebase to understand the productin 19 of 728, across 1 file
  • Ask clarifying questions about the value propositionin 19 of 728, across 1 file
  • Search for companies matching the criteriain 19 of 728, across 1 file
  • Look for signals of immediate needin 19 of 728, across 1 file
  • Assign a fit score from one to tenin 19 of 728, across 1 file
  • Identify the target decision-maker rolein 19 of 728, across 1 file
  • Suggest a personalized contact strategyin 19 of 728, across 1 file
  • Provide conversation starters for outreachin 19 of 728, across 1 file
  • Format results in a scannable markdown templatein 19 of 728, across 1 file

Said here and by no other author read

  • ask for a concrete artifact if the idea is vague
  • extract the product idea and buyer candidates
  • extract the pricing hypothesis and distribution channels
  • extract existing assets and founder credibility
  • extract alternatives being considered
  • extract the success definition and time goal

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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