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
npx -y skills add ryuzo-k/yomira --skill venture-idea-simulationAssembled 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.