Automated summary
This skill helps design lean startup experiments (pretotypes) by creating XYZ hypotheses and suggesting low-effort validation methods like landing pages, explainer videos, and pre-orders.
Strengths
- Based on Alberto Savoia's The Right It and its proven principles
- Emphasizes skin-in-the-game and own data (YODA) for reliable signals
- Provides a concrete structure for formulating hypotheses and designing experiments
- Offers multiple validation methods adaptable to different contexts
Limitations
- Requires a clear and precise definition of the target market (Y) for the hypothesis to be valid
- May not adequately cover complex B2B sales cycles or heavily regulated products
- Depends on the user's ability to execute experiments and interpret results
Use this skill when validating a new product idea, creating pretotypes, or testing market demand with minimal effort.
Avoid using it if the product is already validated with real data or if you lack the resources to implement the suggested experiments.
Security analysis
SafeThe skill only provides text-based brainstorming guidance for lean startup experiments. It does not execute any code or system commands and has no declared tools, posing no execution or data exfiltration risk.
No concerns found
How this analysis is madeExamples
Design lean startup experiments for a meal-prep subscription service that delivers weekly ingredients for healthy meals.Create XYZ hypotheses and suggest pretotypes for a peer-to-peer pet-sitting platform for vacations.I'm thinking of building a language learning app that uses AI to practice conversations. What experiments can I run to validate it?name: brainstorm-experiments-new description: "Design lean startup experiments (pretotypes) for a new product. Creates XYZ hypotheses and suggests low-effort validation methods like landing pages, explainer videos, and pre-orders. Use when validating a new product idea, creating pretotypes, or testing market demand."
Design Lean Startup Experiments (New Product)
Create XYZ hypotheses and design pretotype experiments to validate a new product concept with minimal effort.
Context
You are helping validate a new product concept: $ARGUMENTS using lean startup methodology.
If the user provides files (market research, landing page mockups), read them first.
Instructions
-
Create an XYZ Hypothesis in the form: "At least X% of Y will do Z"
- X%: The percentage of the target market expected to engage
- Y: The specific target market (e.g., "mid-size luxury sedan buyers")
- Z: How they will engage with the product
-
Suggest 2-3 pretotype experiments to test the hypothesis with minimal effort. Consider:
- Landing Page: Test interest by measuring sign-ups or clicks
- Explainer Video: Test understanding and appeal through engagement metrics
- Email Campaign: Test demand through response and click-through rates
- Pre-Order / Waitlist: Test willingness to pay through skin-in-the-game commitment
- Concierge / Manual MVP: Deliver the service manually to test value
-
Key principles (Alberto Savoia, The Right It):
- Skin-in-the-Game: Test willingness to pay — not just interest. Real commitment (time, money, reputation) is the only reliable signal.
- Your Own Data (YODA): Collect your own data through experiments rather than relying on Others' Data (ODP) like market reports or analogies. "The market for your idea does not care about the market for someone else's idea."
- Measure actual behavior, not users' opinions
-
For each experiment, specify the hypothesis being tested, the method, the metric, and the success threshold.
Think step by step. Save as markdown if substantial.
Further Reading
From the file to a first result
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1. Download the file
Download SKILL.mdFrom the root of a test project, save the file as .skill-downloads/design-lean-startup-experiments-mryiqhkq/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.
Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.
mkdir -p '.skill-downloads/design-lean-startup-experiments-mryiqhkq' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/design-lean-startup-experiments-mryiqhkq/download' --output '.skill-downloads/design-lean-startup-experiments-mryiqhkq/SKILL.md.part' && mv '.skill-downloads/design-lean-startup-experiments-mryiqhkq/SKILL.md.part' '.skill-downloads/design-lean-startup-experiments-mryiqhkq/SKILL.md'2. Check prerequisites
Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.
No recognized prerequisites section in this file. This does not mean it is self-contained: libraries, tools and access requirements may be mentioned elsewhere in the content or source repository.
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3. Load the skill
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Claude Code
test -f '.skill-downloads/design-lean-startup-experiments-mryiqhkq/SKILL.md' && test -s '.skill-downloads/design-lean-startup-experiments-mryiqhkq/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/brainstorm-experiments-new' && cp -R '.skill-downloads/design-lean-startup-experiments-mryiqhkq' '.claude/skills/brainstorm-experiments-new'OpenSkills
OpenSkills must already be installed. The local install/read procedure is checked with OpenSkills 1.5.0, which requires Node.js ≥ 20.6.0. Catalog slugs are not resolved automatically.
Official OpenSkills installationopenskills install './.skill-downloads/design-lean-startup-experiments-mryiqhkq'openskills read 'design-lean-startup-experiments-mryiqhkq'Reading should display the installed file content and its base directory. It does not run the skill or install its dependencies.
For an agent that reads AGENTS.md, then sync the index. This command changes AGENTS.md: review the diff before using it.
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Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:
Read .skill-downloads/design-lean-startup-experiments-mryiqhkq/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.
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