Agent skill · Frontend

lamina-verify

Verify graph-backed product Missions after ordinary implementation work or when explicitly invoked as lamina-verify. Run isolated Persona and live UI audits; explicit verification is source-read-only.

Aryan Iyappan74★ · 1 repos on radarProfile →
claude-codecodexcursorApache-2.0
Install
npx skills add aryaniyaps/lamina --skill lamina-verify --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 6 KB
Bundled scripts: none
Path: skills/lamina-verify/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 111 · +37 this week
Language: TypeScript

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# /lamina-verify Verification reads the active GraphVersion and publishes runtime Evidence through isolated Mission sessions. It never discovers, selects, or mutates the active GraphVersion. Verification Missions are the runtime replay of Persona-bound Experience Cases. They do not replace the earlier design-time Persona simulations that must discover and expand new-feature flows before implementa

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About this skill
What does the lamina-verify skill do?

Verify graph-backed product Missions after ordinary implementation work or when explicitly invoked as lamina-verify. Run isolated Persona and live UI audits; explicit verification is source-read-only.

How do I install it?

Run `npx skills add aryaniyaps/lamina --skill lamina-verify --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.

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