Your AI agent's memory of Google froze the day its training ended — this is Google's own free fix: the one-minute install, the 5 skills that matter, and the 30-second check that proves your agent is current again

Ask your coding agent for anything Google — Gemini code, a Cloud Run deploy, a voice assistant — and it answers instantly from a memory frozen at its training cutoff. We tested it live on Aug 27, 2026: the voice model it picked returns 404 NOT_FOUND from Google's own server, its image model pick is dead too, it still calls the platform 'Vertex AI' (renamed), and it skips the one IAM grant that blocks most first Cloud Run deploys. The honest part: it also got a lot right — frozen memory doesn't write garbage, it writes confident, slightly-expired code, which costs you more because it almost works. Google shipped the fix themselves: github.com/google/skills — 124 official skills (~5K tokens each, load only when triggered). THIS KIT: PAGE 2 — the receipts table (every frozen answer vs. reality, checked live) plus Google's own line to your agent, in writing: 'Your knowledge is outdated.' PAGE 3 — the one-command install (npx skills add google/skills), where the files land, why a 5K-token skill beats a 100K-token docs dump. PAGE 4 — the 5 skills for normal builders out of 124 (gemini-api, gemini-live-api, cloud-run-basics, firebase-basics, gcloud) with what each unlocks, plus the Ads/Analytics skills for marketers. PAGE 5 — the 30-second Un-Freeze Check to run on your own agent (before/after, on your machine) and the roles/run.builder command that unblocks first deploys. Every claim reproduced live against Google's API before publishing. Independent field notes from Hyperautomation Labs — not affiliated with Google.

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