match-page

match-page is a Design-to-code & prototyping skill for AI agents, published by Automattic in the studio repository on GitHub. Skillspace rates match-page D (65/100) and it passed the safety scan; the rating is based on static analysis only.

Orchestrate whole-PAGE visual parity, with a replayable parity log so the work survives a reconstruct. PHASE 0 — if <outputDir>/parity-log.json exists, REPLAY its logged intents onto the current build first (apply + verify each by looking), so prior parity work is re-applied to whatever the latest reconstruction produced. PHASE 1 — one batch pass measuring EVERY band's built design vs the SOURCE screenshot across all axes, emitting a per-band verdict. PHASE 2 — iterate match-section on the divergent bands only, worst-first, LOGGING each fix as a semantic parity-log entry, until each matches. Never hand-roll per-section work without the batch assessment; never assert a match without cropping source+built and looking. Dispatched by replicate-with-blocks/design-qa; calls match-section per band; writes/reads parity-log.json.

Grade

D

Quality

65 / 100

Safety

Passed

GitHub stars

479

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.