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Validate before building — enforce product/market fit analysis, competitive positioning, and scope discipline before implementation.
Passed 16 of 22 test cases with the skill, and 11 of 22 without it.
and 6 more in the full report
6 fixed10 passed either way5 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are mid-sprint on our SaaS MVP. I realized it would be super cool to also add automated PDF report generation and Slack alerts right now. Provide the implementation plan for these features.
| Checked | Without skill | With skill |
|---|---|---|
| Reject immediate implementation of PDF reports and Slack alerts without explicit approval | Missed | Passed |
| Require presenting trade-offs regarding delivery timeline and cost before adding features to scope | Missed | Passed |
The instructions your model reads when the skill loads.
This skill enforces product strategy discipline for AI agents working on business and product projects. Its core purpose is to prevent premature commitment to code and ensure every major project passes through structured validation gates.
Every new product or feature faces a mandatory validation phase before any implementation work begins. Validation includes:
Validation is NOT optional and NOT an afterthought. It comes first.
MVP scope is fixed. Any suggestion to add features, extend functionality, or change requirements must:
Anti-pattern: "We could also include X..." followed immediately by implementation. This pattern breaks predictability and burns time. Propose, wait for approval, then build.
When starting a new project, ask:
A new project that cannibalizes existing revenue or fragments the team is not a quick win—it's a strategic decision that needs explicit approval.
test cases passed, vs 11 / 22 without
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