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Chrome Webstore Release Blueprint

Community
brianlovin
chrome-webstore-release-blueprint

Guide a user end-to-end through setting up Chrome Web Store API release automation in any repository. Use when asked to walk someone through OAuth/CWS credential setup, refresh token creation, local/CI secret setup, version-based publish automation, and submission status checks.

Overview

Publisherbrianlovin
Repositoryagent-config
Skill namechrome-webstore-release-blueprint
Stars
370
Forks
31
Bundled files
Instructions only
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.

  • Self-contained

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

  • Open source

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

Installation

Install the Chrome Webstore Release Blueprint 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/brianlovin/agent-config.git /tmp/agent-config
mkdir -p .claude/skills
cp -r /tmp/agent-config/skills/chrome-webstore-release-blueprint .claude/skills/chrome-webstore-release-blueprint
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Chrome Webstore Release Blueprint 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 Chrome Webstore Release Blueprint 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 Chrome Webstore Release Blueprint 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.

Chrome Web Store Release Blueprint

Use this skill as a hands-on setup guide. The agent should lead the user step-by-step, ask for confirmations, and only automate the parts that can be done locally/in CI.

What This Skill Is For

  • Helping a user set up Chrome Web Store release automation from scratch.
  • Giving clear manual instructions for Google/CWS dashboard steps.
  • Implementing repo-side scripts/workflows after the user provides credentials.
  • Verifying submission state (PUBLISHED, PENDING_REVIEW, etc.).

Agent Behavior Rules

  • Treat dashboard/OAuth tasks as user-driven; do not imply you performed them.
  • Give one clear step at a time and wait for confirmation before moving on.
  • Ask for exact values only when needed, and tell user where each value comes from.
  • Mask secrets in logs and never commit secret values to git.
  • If gh is available, offer secret upload automation; if not, provide manual fallback.

Step 1: Project Discovery (Before Any Credential Work)

Collect these inputs:

  • manifest path containing extension version
  • build command
  • zip/package command and output file name/path
  • CI platform (GitHub Actions by default)
  • release branch policy (main, tags, or manual dispatch)
  • local secret file convention (.env, .env.local, etc.)

Ask explicitly:

  • "Do you want CI to publish only when version changes?"
  • "Do you want me to wire GitHub secret upload via gh?"

Step 2: Detailed Credential Walkthrough (User + Agent)

2.1 Enable API in Google Cloud

Tell user to open:

  • https://console.cloud.google.com/apis/library/chromewebstore.googleapis.com

User actions:

  1. Select the intended Google Cloud project.
  2. Click Enable for Chrome Web Store API.

Agent prompt example:

  • "When Chrome Web Store API shows as Enabled, tell me and I will move to OAuth setup."

2.2 Configure OAuth Consent Screen

Tell user to open one of:

  • https://console.cloud.google.com/apis/credentials/consent
  • If UI redirects, continue in Google Auth Platform consent screen pages.

User actions:

  1. Choose External user type (for non-Workspace internal apps).
  2. Fill app name, support email, developer contact email.
  3. Save and continue through scopes unless custom scopes are required.
  4. Add your own Google account as a test user if app is in Testing mode.
  5. Save.

Agent guidance:

  • If user wants stable long-lived refresh token behavior, recommend moving consent screen to Production when ready.

2.3 Create OAuth Client

Tell user to open:

  • https://console.cloud.google.com/apis/credentials

User actions:

  1. Click Create Credentials -> OAuth client ID.
  2. Choose application type Web application.
  3. Add authorized redirect URI exactly:
  • https://developers.google.com/oauthplayground
  1. Create client.

Capture values:

  • CWS_CLIENT_ID
  • CWS_CLIENT_SECRET

Agent prompt example:

  • "Paste CWS_CLIENT_ID and CWS_CLIENT_SECRET when ready (I will treat them as secrets)."

2.4 Generate Refresh Token (OAuth Playground)

Tell user to open:

  • https://developers.google.com/oauthplayground/

User actions:

  1. Click the settings gear icon.
  2. Enable Use your own OAuth credentials.
  3. Paste CWS_CLIENT_ID and CWS_CLIENT_SECRET.
  4. In Step 1, enter scope:
  • https://www.googleapis.com/auth/chromewebstore
  1. Click Authorize APIs.
  2. Sign in with the same Google account that owns/publishes the extension.
  3. Click Exchange authorization code for tokens.
  4. Copy refresh token.

Capture value:

  • CWS_REFRESH_TOKEN

Agent prompt example:

  • "Paste CWS_REFRESH_TOKEN now. I will only place it in local secret storage/CI secrets."

2.5 Capture Store IDs

Capture:

  • CWS_EXTENSION_ID (the extension item ID from store/developer listing URL)
  • CWS_PUBLISHER_ID (developer/publisher ID from Chrome Web Store developer account context)

Agent instruction:

  • If user is unsure, ask them to open the Chrome Web Store Developer Dashboard and copy IDs from item/account URLs or account details.

2.6 Credential Checklist

Do not proceed until all five exist:

  • CWS_CLIENT_ID
  • CWS_CLIENT_SECRET
  • CWS_REFRESH_TOKEN
  • CWS_PUBLISHER_ID
  • CWS_EXTENSION_ID

Step 3: Local Secret File and CI Secret Setup

Create a local template file (no real values committed):

env
CWS_CLIENT_ID=
CWS_CLIENT_SECRET=
CWS_REFRESH_TOKEN=
CWS_PUBLISHER_ID=
CWS_EXTENSION_ID=

Ensure real secret file path is gitignored.

If using GitHub Actions, ask user if gh automation is desired.

If yes, verify:

bash
gh --version
gh auth status

If gh auth is missing, tell user to run:

  • gh auth login

Then implement a helper script that:

  • reads secret values from local env file
  • validates all required keys are present
  • supports --dry-run
  • masks values in dry-run output
  • uploads with gh secret set ... --repo ...
  • fails fast on missing keys/auth

If user declines gh, provide manual secret entry checklist for repository settings.

Step 4: Release Workflow Blueprint (Version-Triggered)

Design the CI workflow around this logic:

  1. Read local manifest version.
  2. Optionally compare with a secondary version file and fail on mismatch.
  3. Exchange refresh token for access token:
  • POST https://oauth2.googleapis.com/token
  1. Fetch CWS status:
  • GET https://chromewebstore.googleapis.com/v2/publishers/<publisherId>/items/<extensionId>:fetchStatus
  1. Extract current published version from:
  • publishedItemRevisionStatus.distributionChannels[0].crxVersion
  1. If local version == published version, skip publish.
  2. If version changed:
  • build package zip
  • upload zip: POST https://chromewebstore.googleapis.com/upload/v2/publishers/<publisherId>/items/<extensionId>:upload
  • handle async upload state with polling when needed
  • publish: POST https://chromewebstore.googleapis.com/v2/publishers/<publisherId>/items/<extensionId>:publish

Treat these publish states as successful submission:

  • PENDING_REVIEW
  • PUBLISHED
  • PUBLISHED_TO_TESTERS
  • STAGED

Step 5: Submission Status Checker Blueprint

Create a script dedicated to "what is the latest submission state?".

Required behavior:

  • accepts env values (and optional --env-file)
  • optionally accepts --manifest for local version comparison
  • supports --json
  • calls token endpoint + fetchStatus
  • outputs normalized fields:
    • itemId
    • localVersion
    • publishedVersion
    • publishedState
    • submittedVersion
    • submittedState
    • upToDate
    • pendingReview
  • exits non-zero on auth/API/input errors

Helpful checks to include:

  • flag version mismatch between manifest and package metadata
  • show whether uploaded version is pending review but not yet published
  • print concise human summary when --json is not used

Step 6: Guided Verification Flow

Run this with the user:

  1. Confirm status checker runs successfully before release.
  2. Bump extension version (patch) in all version sources.
  3. Push branch and trigger workflow.
  4. Confirm workflow either:
  • skips (if no version change), or
  • uploads and submits publish.
  1. Re-run status checker:
  • expect PENDING_REVIEW first in many cases
  • later expect published channel to match local version

Troubleshooting Script (What Agent Should Say)

  • invalid_grant:
  • likely wrong/expired refresh token, wrong OAuth client, or wrong account
  • 403 from CWS endpoint:
  • account lacks publisher permissions for that extension
  • workflow no-op:
  • local version equals published version by design
  • upload failure:
  • inspect API response and packaged zip structure/manifest validity
  • version mismatch guard failure:
  • align all declared version files before publishing

Practical Links (Share During Guidance)

  • Chrome Web Store API overview: https://developer.chrome.com/docs/webstore/using-api
  • Publish endpoint: https://developer.chrome.com/docs/webstore/publish
  • OAuth Playground: https://developers.google.com/oauthplayground/
  • API enablement page: https://console.cloud.google.com/apis/library/chromewebstore.googleapis.com
  • Credentials page: https://console.cloud.google.com/apis/credentials

Guardrails

  • Never commit credentials.
  • Never hardcode secrets in workflow YAML.
  • Never auto-publish every push without version comparison.
  • Keep setup instructions explicit and user-confirmed at each manual step.
  • Prefer repeatable helper scripts over ad-hoc one-off commands.

Frequently asked questions

What does the Chrome Webstore Release Blueprint AI skill do?

Guide a user end-to-end through setting up Chrome Web Store API release automation in any repository. Use when asked to walk someone through OAuth/CWS credential setup, refresh token creation, local/CI secret setup, version-based publish automation, and submission status checks.

Why use Chrome Webstore Release Blueprint on TypingMind?

Because you install it once and use it with any model. Chrome Webstore Release Blueprint 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 Chrome Webstore Release Blueprint in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/brianlovin/agent-config/tree/main/skills/chrome-webstore-release-blueprint. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Chrome Webstore Release Blueprint?

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 Chrome Webstore Release Blueprint?

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

Is the Chrome Webstore Release Blueprint AI skill free?

It is published on GitHub by brianlovin. 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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