lamina-evaluation
Judge product usability and evidence quality. Use when running Persona-based walkthroughs on a built product, planning an expert heuristic review, defining evidence-backed success metrics, or checking quantitative claims without inventing measurements. Use lamina-research to plan or synthesize evidence collection and lamina-ux to design interaction behavior.
Profile →npx skills add aryaniyaps/lamina --skill lamina-evaluation --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 Evaluation ## Reference-loading protocol 1. Match the request's primary evaluation method to one row below. 2. Open that linked reference before answering. Add another only when a second method materially changes the answer; do not preload the directory. 3. Start the response with `Using lamina-evaluation: <topic path(s)>` so the selected evaluation lens is auditable. ## Topic index | Eva
What does the lamina-evaluation skill do?
Judge product usability and evidence quality. Use when running Persona-based walkthroughs on a built product, planning an expert heuristic review, defining evidence-backed success metrics, or checking quantitative claims without inventing measurements. Use lamina-research to plan or synthesize evidence collection and lamina-ux to design interaction behavior.
How do I install it?
Run `npx skills add aryaniyaps/lamina --skill lamina-evaluation --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.