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Gplay Rollout Management

Community
hanamizuki
gplay-rollout-management

Staged rollout orchestration and monitoring for Google Play releases. Use when implementing gradual release strategies.

Overview

Publisherhanamizuki
Repositorysolopreneur
Skill namegplay-rollout-management
Stars
150
Forks
9
Bundled files
1
LicenseMIT
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Gplay Rollout Management 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/hanamizuki/solopreneur.git /tmp/solopreneur
mkdir -p .claude/skills
cp -r /tmp/solopreneur/plugins/claude/android-dev/skills/gplay-rollout-management .claude/skills/gplay-rollout-management
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gplay Rollout Management 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 Gplay Rollout Management 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 Gplay Rollout Management 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.

Staged Rollout Management

Use this skill when you need to manage gradual releases on Google Play.

What is Staged Rollout?

Staged rollout releases your app to a percentage of users, allowing you to:

  • Monitor crash rates and reviews before full release
  • Catch critical bugs with limited user impact
  • Gradually increase distribution as confidence grows

Start a Staged Rollout

During initial release

bash
gplay release \
  --package com.example.app \
  --track production \
  --bundle app-release.aab \
  --rollout 0.1

This releases to 10% of users.

Promote with rollout

bash
gplay promote \
  --package com.example.app \
  --from beta \
  --to production \
  --rollout 0.25

Increase Rollout Percentage

bash
# Increase to 25%
gplay rollout update \
  --package com.example.app \
  --track production \
  --rollout 0.25

# Increase to 50%
gplay rollout update \
  --package com.example.app \
  --track production \
  --rollout 0.5

# Increase to 100% (or use complete)
gplay rollout update \
  --package com.example.app \
  --track production \
  --rollout 1.0

Halt Rollout

Pause distribution if issues are detected:

bash
gplay rollout halt \
  --package com.example.app \
  --track production

Effect:

  • Stops further distribution
  • Existing users keep the update
  • New users don't receive the update

Resume Rollout

Resume after fixing issues:

bash
gplay rollout resume \
  --package com.example.app \
  --track production

Complete Rollout

Release to 100% of users:

bash
gplay rollout complete \
  --package com.example.app \
  --track production

Check Rollout Status

bash
gplay tracks get \
  --package com.example.app \
  --track production \
  | jq '.releases[0].userFraction'

Recommended Rollout Strategy

Conservative (7-day rollout)

bash
# Day 1: 10%
gplay release --package com.example.app --track production --bundle app.aab --rollout 0.1

# Day 2: 25% (monitor crash rate)
gplay rollout update --package com.example.app --track production --rollout 0.25

# Day 3: 50%
gplay rollout update --package com.example.app --track production --rollout 0.5

# Day 5: 75%
gplay rollout update --package com.example.app --track production --rollout 0.75

# Day 7: 100%
gplay rollout complete --package com.example.app --track production

Aggressive (3-day rollout)

bash
# Day 1: 25%
gplay release --package com.example.app --track production --bundle app.aab --rollout 0.25

# Day 2: 50%
gplay rollout update --package com.example.app --track production --rollout 0.5

# Day 3: 100%
gplay rollout complete --package com.example.app --track production

Cautious (for critical apps)

bash
# Day 1: 5%
gplay release --package com.example.app --track production --bundle app.aab --rollout 0.05

# Day 2: 10% (monitor carefully)
gplay rollout update --package com.example.app --track production --rollout 0.1

# Day 3: 25%
gplay rollout update --package com.example.app --track production --rollout 0.25

# Day 5: 50%
gplay rollout update --package com.example.app --track production --rollout 0.5

# Day 7: 75%
gplay rollout update --package com.example.app --track production --rollout 0.75

# Day 10: 100%
gplay rollout complete --package com.example.app --track production

Monitoring During Rollout

Check crash rate

Use Play Console → Quality → Android vitals

Monitor reviews

bash
# Get recent reviews
gplay reviews list \
  --package com.example.app \
  --paginate \
  | jq '.reviews[] | select(.createdTime > "2025-02-05") | {rating, text: .comments[0].userComment.text}'

Filter 1-star reviews

bash
gplay reviews list \
  --package com.example.app \
  | jq '.reviews[] | select(.rating == 1) | .comments[0].userComment.text'

Decision Matrix

MetricAction
Crash rate < 1%Continue rollout
Crash rate 1-2%Halt, investigate
Crash rate > 2%Halt, rollback if possible
1-star reviews spikeHalt, investigate
ANR rate spikeHalt, investigate
No issues after 24hIncrease rollout

Rollback Strategy

Google Play doesn't support automatic rollback, but you can:

Option 1: Upload hotfix

bash
# Build hotfix with higher version code
./gradlew bundleRelease

# Release hotfix immediately to 100%
gplay release \
  --package com.example.app \
  --track production \
  --bundle app-hotfix.aab

Option 2: Promote previous version

This requires the previous version still be in beta track:

bash
gplay promote \
  --package com.example.app \
  --from beta \
  --to production

Best Practices

  1. Always start with <20% - Catch issues early
  2. Monitor for 24 hours between increases
  3. Have a hotfix plan - Be ready to fix critical bugs quickly
  4. Set up alerts - Monitor crash rates automatically
  5. Test thoroughly in beta - Reduce production issues
  6. Communicate with users - Update release notes
  7. Don't rush - Gradual rollout is for safety

Common Mistakes to Avoid

Don't:

  • Jump from 10% to 100% immediately
  • Ignore crash rate increases
  • Roll out during weekends/holidays (slower monitoring)
  • Skip beta testing phase

Do:

  • Monitor crash rates constantly
  • Have team available during rollout
  • Prepare hotfix in advance
  • Communicate expected timeline to stakeholders

Automation Example

CI/CD with automated rollout

yaml
# .github/workflows/rollout.yml
name: Automated Rollout

on:
  schedule:
    - cron: '0 9 * * *'  # Daily at 9 AM

jobs:
  increase-rollout:
    runs-on: ubuntu-latest
    steps:
      - name: Get current rollout
        id: current
        run: |
          CURRENT=$(gplay tracks get --package $PACKAGE | jq -r '.releases[0].userFraction')
          echo "fraction=$CURRENT" >> $GITHUB_OUTPUT

      - name: Increase rollout
        if: steps.current.outputs.fraction < 1.0
        run: |
          NEW_FRACTION=$(echo "${{ steps.current.outputs.fraction }} + 0.25" | bc)
          gplay rollout update --package $PACKAGE --track production --rollout $NEW_FRACTION

Support

For manual rollout control, always use the Google Play Console UI as a backup.

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 Gplay Rollout Management AI skill do?

Staged rollout orchestration and monitoring for Google Play releases. Use when implementing gradual release strategies.

Why use Gplay Rollout Management on TypingMind?

Because you install it once and use it with any model. Gplay Rollout Management 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 Gplay Rollout Management in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hanamizuki/solopreneur/tree/main/plugins/claude/android-dev/skills/gplay-rollout-management. 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 Gplay Rollout Management?

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 Gplay Rollout Management?

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

Is the Gplay Rollout Management AI skill free?

Yes. It is published on GitHub by hanamizuki under the MIT 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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