Require documented user evidence before staging implementation.
npx skills add https://github.com/mnfst-ai/Stage_Manager_Skills --skill sm-yagni
Please help me install this Agent Skill. Skill: sm:yagni Source: https://github.com/mnfst-ai/Stage_Manager_Skills/tree/main/plugins/stage-manager/skills/yagni Command: npx skills add https://github.com/mnfst-ai/Stage_Manager_Skills --skill sm-yagni
YAGNI prevents teams from moving into implementation based on untested assumptions by forcing a quick check for evidence and user contact before staging. It reduces wasted engineering effort, long-term maintenance costs, and product risk by ensuring decisions are grounded in observed user needs.
Ask the builder: Before we build — what did you find out, and who told you?
High-intent search queries and answers about installing and using this skill.
Gating implementation requires teams to document who was interviewed, what user needs were discovered, and what validated signal justifies moving to code before staging begins.
The best way to stop untested assumptions is applying a quick triage gate that asks builders what they found out and who told them, clearing the way only when documented evidence exists.
You triage a feature request by asking one focused question to surface whether the builder spoke to users, what they found, and what validated signal justifies building the feature now.
If a team member proposes starting implementation with no user contact, you route them into an invalidation prep flow or defer the work until validated signals are gathered.
You can proceed with coding under a visible YAGNI flag when appropriate, but it marks the build as unvalidated, ensuring the team acknowledges the product risk of missing user research.
NimbalystStructure user research findings into a document with objectives, methodology, and insights.
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