deploy-demo

name: deploy-demo description: Create a GitHub deployment for the current branch using the deploy-review workflow disable-model-invocation: true

Deploy demo

Prerequisites: GitHub CLI

This workflow uses gh to trigger and monitor the deployment workflow. Follow the check-github-cli skill first (ensure gh auth status succeeds; if not, guide the user to install/configure gh and do not proceed). The account needs permission to trigger workflows and read the repository.

Overview

Create a GitHub deployment for the current branch using .github/workflows/deploy-review.yml (workflow name: "Deploy review environment").

Steps

Note: In the command output, format all URLs as clickable Markdown links: [Link Text](URL).

1. Ensure all changes are pushed to remote

• Check status: git status. If there are uncommitted changes, ask the user to commit and push, or run git add / git commit and then push.
• Push the current branch: git push origin $(git branch --show-current) (or git push if upstream is set). Abort if push fails.

2. Check for an already running deployment for the current branch

• Get current branch: git branch --show-current.
• List runs for the deploy-review workflow on this branch that are in progress or queued:
  • gh run list --workflow=deploy-review.yml --branch <BRANCH> --status in_progress
  • gh run list --workflow=deploy-review.yml --branch <BRANCH> --status queued
• If any run is returned, abort the command and tell the user a deployment is already running for this branch (include a link to the run).

3. Resolve the workflow inputs (all optional)

Always read .github/workflows/deploy-review.yml as the single source of truth for valid option values — never hardcode them in this skill. The workflow has three workflow_dispatch inputs:

a. envs_preset — which chain's config the demo fetches at startup.

• Allowed values: on.workflow_dispatch.inputs.envs_preset.options.
• Infer from the prompt: "deploy a demo for base" / "with base preset" → base; "spin up a demo using staging" → staging.
• If no preset is mentioned: skip the flag (workflow default).
• Validate against the options list; if invalid, show the valid options and abort.

b. variant — which demo flavor (on.workflow_dispatch.inputs.variant.options, e.g. review / review-2). review-2 disables ENVs validation (used for multichain).

• Pass -f variant=review-2 only if the user clearly asks for it ("review-2", "validation-disabled / multichain variant", "second demo"). Otherwise skip (default review).
• Validate against the options list; if invalid, abort.

c. build_image — whether to build & publish a fresh image (default true).

• The image is preset-agnostic, so re-pointing an existing demo to a different chain does not need a rebuild. If the user asks to redeploy / re-point / switch an existing demo to another preset ("redeploy it for celo", "switch the demo to base without rebuilding", "re-point to gnosis"), pass -f build_image=false — this skips the multi-minute image build and just re-runs the deploy (~1–2 min), changing ENVS_PRESET so the pods roll.
• For a first/normal deploy, skip the flag (default true, builds fresh).
• Caveat: build_image=false only works if an image for this branch + variant already exists (a prior successful build). If unsure, prefer building. Keep variant the same as the original deploy when re-pointing — the image tag and namespace are <variant>-<branch-slug>.

4. Trigger the workflow and capture the run ID

• Run the workflow from the current branch (from step 1/2), passing only the flags resolved in step 3:
  • gh workflow run deploy-review.yml --ref <BRANCH> [-f envs_preset=<PRESET>] [-f variant=<VARIANT>] [-f build_image=false]
  • Examples:
    • First deploy for base: gh workflow run deploy-review.yml --ref <BRANCH> -f envs_preset=base
    • Re-point existing demo to celo (no rebuild): gh workflow run deploy-review.yml --ref <BRANCH> -f build_image=false -f envs_preset=celo
• The CLI does not print the new run ID. To get it: wait a few seconds, then list the latest run for this workflow and branch: gh run list --workflow=deploy-review.yml --branch <BRANCH> --limit 1. Use that run’s ID for the next steps.

5. Monitor the workflow until it completes

• Watch the run: gh run watch <RUN_ID> (polls until completion).
• Track the outcome: success, failure, or cancelled (from the watch output or from gh run view <RUN_ID>).
• When completed, get outputs and deployment URL: gh run view <RUN_ID> and, if available, gh run view <RUN_ID> --log or job outputs. The deployment URL may appear in the workflow summary or in job outputs; extract it and include it in the notification.

6. Send system notifications with results

• When the workflow is triggered: Notify the user that the deployment has been started (include a link to the run).
• When the workflow completes: Notify with the final status (success, failure, or cancelled), the deployment URL if available, and any other relevant outputs.
• On failure: Notify with the error and details (e.g. failed job/step from gh run view <RUN_ID> or gh run view <RUN_ID> --log-failed).