lamina-product-discovery
Frame product problems and decide what to build. Use when establishing business context, aligning actors with conflicting goals, discovering or prioritizing features, defining traceable requirements, comparing consequential tradeoffs, or recording a product decision. Use lamina-ux for interaction details and lamina-product-behavior for authoritative runtime rules.
Profile →npx skills add aryaniyaps/lamina --skill lamina-product-discovery --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Lamina Product Discovery ## Reference-loading protocol 1. Match the request's primary product decision to one row below. 2. Open that linked reference before answering. Add another only when a second decision materially changes the answer; do not preload the directory. 3. Start the response with `Using lamina-product-discovery: <topic path(s)>` so the selected decision lens is auditable. ## Topi
What does the lamina-product-discovery skill do?
Frame product problems and decide what to build. Use when establishing business context, aligning actors with conflicting goals, discovering or prioritizing features, defining traceable requirements, comparing consequential tradeoffs, or recording a product decision. Use lamina-ux for interaction details and lamina-product-behavior for authoritative runtime rules.
How do I install it?
Run `npx skills add aryaniyaps/lamina --skill lamina-product-discovery --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From aryaniyaps/lamina, a repository with 111 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.