Putting weft on GCP

SkillDatabases & data

Guides your agent through installing, upgrading, or resizing weft on the user's own Google Cloud account.

Then ask your AI: use the Putting weft on GCP skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add it as a step in a pipeline you build on Ahel, or connect Ahel to Claude, ChatGPT, Cursor, Claude Code or Codex and ask your AI to use it.

About this skill

Read when the user wants weft itself on their Google Cloud for the first time, or to upgrade or resize the weft already there: getting the user's GitHub and Google Cloud accounts and CLIs ready, the fork, the one-time gcloud block, the database, the fork's variables and secrets, running the install

What this skill tells your AI

The instructions your AI receives, as published by weavemindai/weft in tangle/claude-code/.claude/skills/weft-cloud-install/SKILL.md and read by Ahel’s review.

A cloud install has no machine of its own. weft's parts and programs' workers are Cloud Run services that scale to zero. Triggers that keep a connection open run on holders, which weft starts only while at least one such trigger is on. Builds run on Cloud Build, timers on Cloud Tasks, and infrastructure on Compute Engine machines. Everything weft keeps lives in a Postgres database the user brings, by its address. So an install with no trigger that keeps a connection open and no infrastructure up runs nothing between calls and, within Google's and the database's free tiers, costs next to nothing: what it does pay for is storing weft's own images. It is made by the "install on GCP" workflow in the user's own fork of weft. The user owns the GCP project, the billing, the database and the fork; you do the work, through their gh and gcloud.

First: the two CLIs, logged in

Everything after this step you run yourself, so this step comes first and you do not move on until both work. Check before asking anything: gh auth status and gcloud auth list (plus gcloud config get project). Whatever already works, you skip.

  • GitHub. No account: send them to https://github.com/signup and wait. No gh: install it for their system (the instructions are at https://cli.github.com). Then they run gh auth login themselves (it opens a browser; GitHub.com, HTTPS, log in with a web browser), since only they can sign in. Check with gh auth status.
  • Google Cloud. No account: send them to https://console.cloud.google.com, where they sign in with a Google account, accept the terms and add a billing account (a card is required even for the free tier). No gcloud: install it for their system (https://cloud.google.com/sdk/docs/install). Then they run gcloud auth login. Check with gcloud auth list.

The only things the user does by hand are what needs them in a browser: signing up, the card, and the two logins. Say each step in plain words and wait for them to say it is done.

Then you do the install

The steps are in the cloud guide (https://weavemindai.github.io/weft/running/cloud.html, section "Install weft on GCP"). Run them with the user's CLIs, telling them what you are about to do before anything that creates or costs something:

  1. The project. A new project made just for weft (weft's own accounts get broad rights inside it, so nothing else should live there): gcloud projects create <id>, then link billing (gcloud billing accounts list, gcloud billing projects link <id> --billing-account <account>). If they already made one for weft, use it. A billing account links only a few projects (five on a new one): if the link fails with Cloud billing quota exceeded, offer to reuse a project made for weft before, or to unlink one they no longer use (gcloud billing projects unlink <id>), and let them choose.

  2. The region. If the user is on the free tier and has no reason to be anywhere in particular, the install goes in us-west1 (zone us-west1-b) and its database in Neon's aws-us-west-2: both are in Oregon, so every call the install makes to its database stays short. Google's always-free machine and 5 GB of storage exist only in us-west1, us-central1 and us-east1, and Neon runs on AWS and Azure, not Google, so that pair is the one place both free tiers sit side by side. If they need another region, take theirs, and the Neon region nearest it.

  3. The fork. gh repo fork WeaveMindAI/weft --clone=false. A new fork has its workflows turned off: turn them on with gh api -X PUT repos/<fork>/actions/permissions -F enabled=true.

  4. The gcloud block below, as written, with the three values on its first line filled in (FORK is the fork's owner/repo, with GitHub's capitals, because Google compares it letter for letter); never invent a flag. Its IAM steps retry on their own while IAM catches up on a brand new project, so a few "waiting for IAM" lines are normal.

    PROJECT=my-project REGION=us-west1 FORK=me/weft
    NUMBER=$(gcloud projects describe $PROJECT --format='value(projectNumber)')
    # On a new project IAM can take a minute to catch up (with the services
    # just enabled, with the account just made), so each IAM step below is
    # tried again, quietly, for up to three minutes; a last try shows its
    # own error.
    retry() {
      for _ in $(seq 18); do
        "$@" >/dev/null 2>&1 && return 0
        echo "waiting for IAM to catch up, trying again in 10 seconds"
        sleep 10
      done
      "$@"
    }
    
    gcloud services enable --project $PROJECT \
      iam.googleapis.com iamcredentials.googleapis.com sts.googleapis.com \
      cloudresourcemanager.googleapis.com serviceusage.googleapis.com
    
    gcloud storage buckets create gs://$PROJECT-weft-state --project $PROJECT \
      --location $REGION --uniform-bucket-level-access
    
    gcloud iam service-accounts create weft-installer --project $PROJECT
    retry gcloud projects add-iam-policy-binding $PROJECT --role roles/owner \
      --member serviceAccount:weft-installer@$PROJECT.iam.gserviceaccount.com
    
    pool() {
      gcloud iam workload-identity-pools describe weft-install --project $PROJECT \
        --location global >/dev/null 2>&1 \
      || gcloud iam workload-identity-pools create weft-install --project $PROJECT \
        --location global
    }
    provider() {
      gcloud iam workload-identity-pools providers describe github --project $PROJECT \
        --location global --workload-identity-pool weft-install >/dev/null 2>&1 \
      || gcloud iam workload-identity-pools providers create-oidc github \
        --project $PROJECT --location global --workload-identity-pool weft-install \
        --issuer-uri https://token.actions.githubusercontent.com \
        --attribute-mapping google.subject=assertion.sub,attribute.repository=assertion.repository \
        --attribute-condition "assertion.repository=='$FORK'"
    }
    retry pool
    retry provider
    retry gcloud iam service-accounts add-iam-policy-binding \
      weft-installer@$PROJECT.iam.gserviceaccount.com --project $PROJECT \
      --role roles/iam.workloadIdentityUser \
      --member principalSet://iam.googleapis.com/projects/$NUMBER/locations/global/workloadIdentityPools/weft-install/attribute.repository/$FORK
    
  5. The fork's variables, with gh variable set <NAME> --repo <fork> --body <value>: GCP_PROJECT_ID, GCP_REGION, GCP_ZONE, TF_STATE_BUCKET, GCP_WORKLOAD_IDENTITY_PROVIDER and GCP_INSTALL_SERVICE_ACCOUNT. A project's frontend is added later, from the project (read weft-deploying), never here.

  6. The database. If the user has no Postgres, read weft-database. If they already have a Postgres they want, put its address in the WEFT_DATABASE_URL secret with gh secret set WEFT_DATABASE_URL --repo <fork> (piping it in, never echoing it into the chat), and when that address goes through a pooler, a direct address of the same database in WEFT_DATABASE_LISTEN_URL.

  7. The workflow. gh workflow run "install on GCP" --repo <fork>, then follow it with gh run watch in the background. It runs for a while.

Its last step prints the install's address (a Cloud Run address, https://weft-role-dispatcher-<number>.<region>.run.app, working at once) and the line that logs in with the first operator key, which you read with gh run view <id> --log (plain gh run view leaves it out). Run that line from the project, after weft target add (read weft-deploying): it reads the key from Secret Manager straight into weft login --key-stdin, so the key never passes through the chat or a file. Never print the key itself.

The install needs no domain: its own address is HTTPS and free. A domain costs money, so it is never part of the install; read weft-deploying when the user asks for one.

Upgrading weft on the cloud is merging upstream into the fork (gh repo sync <fork>) and running the workflow again, then rebuilding the user's CLI from that commit (./setup.sh --cli). Each program on it with infrastructure then needs weft infra upgrade --on prod, through the deployer: the new weft builds each piece's image anew, and weft status --on prod shows infra: source has changed until it is done. A program's deploy workflow needs nothing: it asks the install which weft it runs on every run. Sizing (how many triggers one holder takes, a holder's CPU and memory, how many builds run at once, the machine builds compile on) is a default in deploy/terraform/gcp/variables.tf in the fork: change it there, commit, and run the workflow again. The build machine defaults to the one Cloud Build's free minutes cover; a bigger one (build_machine = "E2_HIGHCPU_8") compiles a program's image faster and is paid by the minute, once per version of the program, never per worker.

Removing weft from GCP is deleting the project made for it, since weft and everything it started live there and nowhere else: gcloud billing projects unlink <id>, then gcloud projects delete <id> (Google keeps it 30 days, gcloud projects undelete <id> brings it back). It deletes everything in it, so say so and wait for the user's yes. The database is theirs, at its own provider, and stays.

For deploying projects to the install once the key is in weft login, read weft-deploying.

Signals

GitHub stars
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Forks
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Last commit
Oct 2026
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Item type
skill
Key
weft-cloud-install
Source
github.com/weavemindai/weft