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Cloudflare Workers Cd Rollback

Community
mizchi
cloudflare-workers-cd-rollback

GitHub Actions CD for a Cloudflare Worker with auto-rollback on smoke failure. Use when you want push-to-deploy with safety: capture pre-deploy version, deploy, smoke, rollback if smoke fails.

Overview

Publishermizchi
Repositoryskills
Skill namecloudflare-workers-cd-rollback
Stars
333
Forks
4
Bundled files
5
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by mizchi on GitHub. Read the source before you install it.

Installation

Install the Cloudflare Workers Cd Rollback AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/mizchi/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/cloudflare-workers-cd-rollback .claude/skills/cloudflare-workers-cd-rollback
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cloudflare Workers Cd Rollback in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cloudflare Workers Cd Rollback on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cloudflare Workers Cd Rollback is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Cloudflare Workers CD with auto-rollback

A three-workflow CD setup:

  • deploy.yml (reusable, workflow_call) — the actual deploy chain: capture pre-deploy version_id → apply D1 migrations → build → deploy → smoke → auto-rollback if smoke failed → summary report.
  • cd-staging.yml — fires on push to main, calls deploy.yml with environment: staging.
  • cd-production.yml — fires on push to release, calls deploy.yml with environment: production.

The chain catches production-only bugs (BigInt hangs, missing env, region-only routing) without a human in the loop — failed smoke automatically restores the previous Worker version.

When to invoke

Use when you're:

  • Setting up CD for a new Cloudflare Worker and want safety beyond "wrangler deploy".
  • Adding rollback to an existing manual-deploy project.
  • Debugging a deploy that should have rolled back but didn't — the common causes are documented in references/cd-traps.md.

Pipeline shape

push to main      ──► cd-staging.yml      ──┐
                                            │ uses: deploy.yml
push to release   ──► cd-production.yml   ──┘
                       ├─ capture pre-deploy version_id (first_deploy detection)
                       ├─ apply D1 migrations
                       ├─ build (clean → db:verify → moon build → bundle check)
                       ├─ wrangler deploy
                       ├─ smoke (continue-on-error)
                       ├─ if smoke failed: wrangler rollback <pre_deploy_id>
                       ├─ report summary
                       └─ fail the job if smoke failed (held until after rollback)

What's in here

assets/workflows/deploy.yml

The reusable workflow. Inputs: environment (staging|production), optional message, skip_smoke, skip_rollback. Calls wrangler through dotenvx so all Cloudflare credentials decrypt from a single committed .env.cloudflare file (rotating one repo secret rotates every CF cred).

Notable bits:

  • Pre-deploy version_id capture handles the "Worker doesn't exist yet" first-deploy case (CF error 10007). The rollback step skips cleanly when there's no prior version.
  • bash -e workaround: set +e before the wrangler deployments list call so a non-zero exit doesn't kill the step before we can branch on the actual error message.
  • github.sha instead of head_commit.message in the deploy message. Commit bodies contain newlines + shell metachars; YAML-interpolating them is unsafe (--yes or wrangler inside a commit body would be parsed as shell tokens).

assets/workflows/cd-staging.yml + cd-production.yml

Thin wrappers. Both include a precheck job that materializes secrets.DOTENV_PRIVATE_KEY_CLOUDFLARE presence into a job output and gates the deploy job via needs: + if:. Without this gate, the upstream starter-kit repo (no secret configured) gets a red CI on every push.

assets/scripts/smoke.ts

Minimal smoke runner. Reads SMOKE_BASE_URL, optional CF_ACCESS_CLIENT_ID/SECRET, runs a configurable list of {path, expectStatus} probes. Returns non-zero if any check failed; deploy.yml's rollback step keys on this exit code.

.env.cloudflare contract

Single dotenvx-encrypted file is the source of truth for every Cloudflare credential. Repo only needs ONE GitHub Actions secret: DOTENV_PRIVATE_KEY_CLOUDFLARE. Rotating that key rotates every CF credential.

Keys this skill expects:

KeyUsed by
CLOUDFLARE_API_TOKENevery wrangler … call
CLOUDFLARE_ACCOUNT_IDwrangler scope
CF_ACCESS_CLIENT_ID / CF_ACCESS_CLIENT_SECRETsmoke against Access-gated prod
CF_ACCESS_CLIENT_ID_STAGING / CF_ACCESS_CLIENT_SECRET_STAGINGsmoke against staging

dotenvx set KEY VALUE -f file is space-separated, not KEY=VALUE. The latter form errors out with "missing required argument 'value'".

References

  • references/cd-traps.md — 8 specific GitHub Actions + wrangler traps the workflows compensate for. Read before debugging a deploy that "should have worked".

Source

mizchi/cloudflare-starterkit-mbt has the runnable starter; mizchi/mnemo has a more elaborated version with multi-D1-shard migrations + utels-sourcemap upload integrated.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Cloudflare Workers Cd Rollback AI skill do?

GitHub Actions CD for a Cloudflare Worker with auto-rollback on smoke failure. Use when you want push-to-deploy with safety: capture pre-deploy version, deploy, smoke, rollback if smoke fails.

Why use Cloudflare Workers Cd Rollback on TypingMind?

Because you install it once and use it with any model. Cloudflare Workers Cd Rollback is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cloudflare Workers Cd Rollback in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mizchi/skills/tree/main/cloudflare-workers-cd-rollback. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Cloudflare Workers Cd Rollback?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cloudflare Workers Cd Rollback?

As many as you like. As long as a model supports skills, you can use Cloudflare Workers Cd Rollback with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cloudflare Workers Cd Rollback AI skill free?

It is published on GitHub by mizchi. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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