apply
Set chaff up in the folder: chaff.yaml for the chosen genre, today's findings shelved in .chaff-baseline.json, and, when asked, a…
After the publish, move the copied records and their files into the production D1 and R2 with the import proven locally.
$ npx -y skills add receptron/mulmoterminal --skill import-production-cloudflare --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/import-production-cloudflareContext preview
The summary Claude sees to decide when to auto-load this skill.
After the publish, move the copied records and their files into the production D1 and R2 with the import proven locally.
name: blueprint-from-collection-import-production description: "After the publish, move the copied records and their files into the production D1 and R2 with the import proven locally."
This step's gates are **deploy-production** and **credential**: the user has approved writing the copied records into their Cloudflare account, signed in with their own `wrangler login`. If `.blueprint/source/source.json` says `records` is `false`, there is nothing to do: stop.
1. `yarn wrangler whoami`. If not signed in, ask the person, through the blueprint question tool, to run `yarn wrangler login` in this folder themselves and tell you when it is done. Never handle an API token. 2. Run `yarn import-source --remote` — the same import the local step proved. Do not change it here; if it fails, say why and stop. The publish step already created the database, applied the migrations and created the bucket `wrangler.jsonc` binds. 3. Tell the person how many records went into each table, and how many files into the bucket.
Done when the check passes: the production D1, read back through wrangler, has every record with every stored field equal to the source, and every pointed-at file is in the R2 bucket named in `.blueprint/r2-bucket` with the source's bytes.
user approved exactly that.
Run multiple coding-agent sessions in parallel — and see which one needs you. A browser terminal for parallel AI coding agents: several sessions side by side, each in its own cell, with the one that needs you marked in colour.
Set chaff up in the folder: chaff.yaml for the chosen genre, today's findings shelved in .chaff-baseline.json, and, when asked, a…
Measure what chaff reports on the named documents today, as the kind the person chose, and propose the setup — changing nothing…
Answer each question from the named documents only, quoting where the answer is written, or saying plainly that the documents do…
Add the approved answers to FAQ.md when the person chose to keep them, after what it already holds; change nothing otherwise.
Build the spec's operations as the Worker's API, with validation and tests.