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- idea assumption stress tester
idea assumption stress tester
Deconstructs ideas to expose hidden assumptions, generate viable alternatives, and design lean validation experiments.
$5
Works with the AI Agents you already use
idea assumption stress tester
Example session with this skill installed
Stress-test my idea: A subscription-based mobile app for local gardeners to trade surplus produce. The goal is to reduce food waste and build community.
- Read your context and instructions
- Compiled the idea assumption stress
I have deconstructed your hyper-local produce trading app. By separating your fixed purpose (waste reduction/community) from your implementation (subscription/mobile app), we can identify where the model is most brittle.
Idea Stress-Test: Local Gardeners Trade App
| Component | Description |
|---|---|
| Fixed Purpose | Reduce local food waste; foster community connections between gardeners. |
| Mutable Choices | Subscription revenue model; mobile-first platform; peer-to-peer trading. |
| Conventions | The "App Store" delivery model; digital-first interaction; monetary barrier to entry. |
| Dependencies | High density of active gardeners in a specific radius; user willingness to manage logistics. |
| Hidden Constraints | Assumes users have surplus worth the effort of a subscription; assumes tech-literacy in target demographic. |
High-Leverage Assumptions
- Monetization: The assumption that gardeners will pay a recurring fee to give away/trade surplus.
- Platform: The assumption that a dedicated app is the lowest-friction way to facilitate trades.
Controlled Mutations & Tradeoffs
| Mutation | Value Prop | Effort/Risk | Key Surprise |
|---|---|---|---|
| Original: Subscription App | High exclusivity, predictable revenue. | High dev cost; high churn risk if trading is seasonal. | Monetization may kill the "community" feel. |
| Alt A: Transaction Fee | Low barrier to entry; aligns cost with value. | Complex payment processing; requires high volume. | Users might bypass the app to trade for free. |
| Alt B: Physical "Drop Nodes" | Direct physical community hub; no tech barrier. | Low tech cost; high physical logistics/real estate. | Becomes a logistics play rather than a social one. |
Recommended Minimal Experiment
Objective: Validate if gardeners value the trade enough to pay anything before building the app.
Test: Create a localized "Surplus List" via a simple WhatsApp group or Discord in one neighborhood. Charge a one-time $5 entry fee (manual via Venmo) to join.
Metric: If <10% of recruited gardeners are willing to pay $5 for access to the trade network, the subscription app model is likely non-viable regardless of UI quality.
Next steps
- Identify a high-density gardening neighborhood for the pilot.
- Draft the "Surplus List" landing page or signup form.
- Define the specific "logistics" rules for the pilot to test user effort tolerance.
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
Ideas often fail not because the goal is wrong, but because unexamined assumptions about implementation, dependencies, and conventions go unchallenged until it is too expensive to pivot.
What it does
- Deconstructs proposals into fixed purposes, mutable implementation choices, and hidden dependencies.
- Identifies high-leverage assumptions that, if changed, would most significantly impact feasibility or cost.
- Generates coherent alternative territories by applying controlled mutations to core assumptions.
- Produces comparative tradeoff maps to visualize risk and effort shifts across different paths.
- Designs the smallest informative experiment to validate the most critical uncertainty.
Why this beats prompting it yourself
Generic prompts often result in simple "pros and cons" or arbitrary opposites. This skill uses a structured deconstruction process to separate the immutable 'why' from the flexible 'how,' preventing the AI from hallucinating flaws while forcing it to explore viable, non-obvious alternatives.
Use cases
- Vetting a new product feature before committing engineering resources.
- Stress-testing a business model against shifting market dependencies.
- Evaluating architectural choices by isolating conventions from technical requirements.
- Refining a go-to-market strategy by surfacing unstated resource constraints.
Requires a clearly defined concept or proposal to begin. Does not provide financial or legal advice.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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