Deploy Checklist logo

Deploy Checklist

OrganizationPopular
anthropics
deploy-checklist

Pre-deployment verification checklist. Use when about to ship a release, deploying a change with database migrations or feature flags, verifying CI status and approvals before going to production, or documenting rollback triggers ahead of time.

Overview

Publisheranthropics
Repositoryknowledge-work-plugins
Skill namedeploy-checklist
Stars
24.9K
Forks
3K
Bundled files
Instructions only
LicenseApache-2.0
Links
Skill sourceRepository
  • 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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Deploy Checklist 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/anthropics/knowledge-work-plugins.git /tmp/knowledge-work-plugins
mkdir -p .claude/skills
cp -r /tmp/knowledge-work-plugins/engineering/skills/deploy-checklist .claude/skills/deploy-checklist
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Deploy Checklist 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 Deploy Checklist 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 Deploy Checklist 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.

/deploy-checklist

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

Generate a pre-deployment checklist to verify readiness before shipping.

Usage

/deploy-checklist $ARGUMENTS

Output

markdown
## Deploy Checklist: [Service/Release]
**Date:** [Date] | **Deployer:** [Name]

### Pre-Deploy
- [ ] All tests passing in CI
- [ ] Code reviewed and approved
- [ ] No known critical bugs in release
- [ ] Database migrations tested (if applicable)
- [ ] Feature flags configured (if applicable)
- [ ] Rollback plan documented
- [ ] On-call team notified

### Deploy
- [ ] Deploy to staging and verify
- [ ] Run smoke tests
- [ ] Deploy to production (canary if available)
- [ ] Monitor error rates and latency for 15 min
- [ ] Verify key user flows

### Post-Deploy
- [ ] Confirm metrics are nominal
- [ ] Update release notes / changelog
- [ ] Notify stakeholders
- [ ] Close related tickets

### Rollback Triggers
- Error rate exceeds [X]%
- P50 latency exceeds [X]ms
- [Critical user flow] fails

Customization

Tell me about your deploy and I'll customize the checklist:

  • "We use feature flags" → adds flag verification steps
  • "This includes a database migration" → adds migration-specific checks
  • "This is a breaking API change" → adds consumer notification steps

If Connectors Available

If ~~source control is connected:

  • Pull the release diff and list of changes
  • Verify all PRs are approved and merged

If ~~CI/CD is connected:

  • Check build and test status automatically
  • Verify pipeline is green before deploy

If ~~monitoring is connected:

  • Pre-fill rollback trigger thresholds from current baselines
  • Set up post-deploy metric watch

Tips

  1. Run before every deploy — Even routine ones. Checklists prevent "I forgot to..."
  2. Customize once, reuse — Tell me your stack and I'll remember your deploy process.
  3. Include rollback criteria — Decide when to roll back before you deploy, not during.

Frequently asked questions

What does the Deploy Checklist AI skill do?

Pre-deployment verification checklist. Use when about to ship a release, deploying a change with database migrations or feature flags, verifying CI status and approvals before going to production, or documenting rollback triggers ahead of time.

Why use Deploy Checklist on TypingMind?

Because you install it once and use it with any model. Deploy Checklist 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 Deploy Checklist in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/anthropics/knowledge-work-plugins/tree/main/engineering/skills/deploy-checklist. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Deploy Checklist?

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 Deploy Checklist?

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

Is the Deploy Checklist AI skill free?

Yes. It is published on GitHub by anthropics under the Apache-2.0 license. 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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