Journey Deploy Agent Skill

Use as the deploy-verification stage of the Butterbase journey, after journey-frontend (or after any build stage if there is no frontend). Smoke-tests the deployed app — hits the live URL, invokes any deployed functions, checks auth round-trip. Writes results to docs/butterbase/04-build-log.md. Blocks journey-submit if smoke fails.

671 tokens

context cost

SKILL.md, read when the skill is used

files

instructions only

copies elsewhere

how many repositories repackaged it

532

stars on the repo

on the repository, not the skill itself

Install

one command, takes just this skill from the repository

npx skills add https://github.com/butterbase-ai/butterbase-skills --skill journey-deploy

The instruction itself

7 sections, as written by the author

Journey: Deploy verification

Stage 4 of the guided journey. Verify the deployed app actually works end-to-end.

When to use

Dispatched by journey when current_stage: deploy.
Directly via /butterbase-skills:journey-deploy.

Preflight

If docs/butterbase/03-preflight.md is missing, older than 24 hours, or 00-state.md has app_id: null, invoke butterbase-skills:journey-preflight first. Wait for it to return successfully before proceeding.

Inputs

docs/butterbase/00-state.md — for app_id, deployed_url.
docs/butterbase/02-plan.md — for the function list to smoke.
docs/butterbase/04-build-log.md — to know what shipped.

Procedure

Refresh docs. Call butterbase_docs with topic: "frontend". For end-to-end smoke patterns, also WebFetch https://docs.butterbase.ai/deploy. Skip if cache is fresh.

For each check, log a one-line result to 04-build-log.md. Halt on the first ✗ and ask the user to fix or skip.

Frontend reachable. If deployed_url is set, fetch it via Bash curl -sS -o /dev/null -w "%{http_code}" <url>. Expect 200. Log <ISO> deploy curl 200 ok or ... <code> fail.

Functions respond. For each function in the plan with HTTP trigger, call mcp__butterbase__invoke_function with a representative payload. Expect 2xx. Log per function.

Auth round-trip (if configured). If the plan included OAuth, prompt the user: "Open <deployed_url>, click 'Sign in with <provider>', and confirm you land logged-in. Did it work? (yes/no)". Log the answer.

Function logs clean. Call mcp__butterbase__manage_function action: get_logs for the most recent invocations. Show the user any error-level lines. Ask: "Anything concerning here? (no → continue, yes → fix and re-run)".

If all checks pass, tick - [x] deploy in 00-state.md, set current_stage: submit (if hackathon_mode: true) or current_stage: done (otherwise).

Return to journey orchestrator.

Outputs

Multiple lines in 04-build-log.md.
Updated 00-state.md.

Anti-patterns

❌ Treating a 200 from the frontend root as proof the app works — actually invoke a function.
❌ Skipping the auth round-trip check just because OAuth is configured server-side — judges will try to log in.

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How to use it

Copy the folder

Take butterbase-ai/journey-deploy from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.