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Gplay Testers Orchestration

Community
hanamizuki
gplay-testers-orchestration

Manage testers for Google Play testing tracks (internal, closed alpha/beta, custom) using edit sessions. Use when assigning testers, creating closed tracks, or promoting builds between tracks.

Overview

Publisherhanamizuki
Repositorysolopreneur
Skill namegplay-testers-orchestration
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 Testers Orchestration 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-testers-orchestration .claude/skills/gplay-testers-orchestration
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gplay Testers Orchestration 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 Testers Orchestration 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 Testers Orchestration 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.

Testers Orchestration for Google Play

Use this skill to assign testers to a track and promote builds through the testing funnel. All tester changes happen inside an edit session and take effect only after gplay edits commit.

Testing tracks

TrackTypeMax testersReviewAccess
internalInternal100NoInstant
alphaClosed testingUnlimitedNoMinutes
betaOpen or closed testingUnlimitedNo/YesMinutes
custom trackClosed testingUnlimitedNoMinutes
productionPublicUnlimitedYesDays

alpha is a closed track (invite-only), not public. Testers on internal and closed tracks are managed by email address or by Google Group.

Tester commands

gplay testers has only three subcommands. There is no testers list — to list the testers on a track, use testers get.

  • gplay testers get — read the testers on a track.
  • gplay testers updatereplace the entire tester set (emails/groups not included are removed).
  • gplay testers patchmerge with the existing set (preserves fields you omit).

List (get) testers for a track

bash
gplay testers get \
  --package com.example.app \
  --edit $EDIT_ID \
  --track alpha

Assign testers (replace the whole set)

bash
gplay testers update \
  --package com.example.app \
  --edit $EDIT_ID \
  --track alpha \
  --emails "tester1@example.com,tester2@example.com"

By Google Group instead of individual emails:

bash
gplay testers update \
  --package com.example.app \
  --edit $EDIT_ID \
  --track alpha \
  --google-groups "beta-testers@example.com,qa-team@example.com"

Add testers without dropping existing ones (patch)

bash
gplay testers patch \
  --package com.example.app \
  --edit $EDIT_ID \
  --track alpha \
  --emails "newtester@example.com"

Remove a tester (update = replace with the reduced set)

update replaces the resource, so re-send only the testers you want to keep:

bash
CURRENT=$(gplay testers get --package com.example.app --edit $EDIT_ID --track alpha \
  | jq -r '.testers[]?')
KEEP=$(echo "$CURRENT" | grep -v "user@example.com" | paste -sd "," -)

gplay testers update \
  --package com.example.app \
  --edit $EDIT_ID \
  --track alpha \
  --emails "$KEEP"

Assign testers inside an edit session (canonical flow)

Tester assignment is not a flag on gplay release. There is no --testers flag anywhere. The real flow is an edit session:

bash
# 1. Create an edit
EDIT_ID=$(gplay edits create --package com.example.app | jq -r '.id')

# 2. Upload the build
gplay bundles upload \
  --package com.example.app \
  --edit $EDIT_ID \
  --file app-release.aab

# 3. Assign the release to the track
gplay tracks update \
  --package com.example.app \
  --edit $EDIT_ID \
  --track alpha \
  --releases '[{"versionCodes":["123"],"status":"completed"}]'

# 4. Assign testers to the track
gplay testers update \
  --package com.example.app \
  --edit $EDIT_ID \
  --track alpha \
  --emails "tester1@example.com,tester2@example.com"

# 5. Commit (nothing applies until this succeeds)
gplay edits commit --package com.example.app --edit $EDIT_ID

Create a closed testing track

Custom closed tracks are created inside an edit, then get testers assigned the same way:

bash
EDIT_ID=$(gplay edits create --package com.example.app | jq -r '.id')

gplay tracks create \
  --package com.example.app \
  --edit $EDIT_ID \
  --track qa-ring

gplay testers update \
  --package com.example.app \
  --edit $EDIT_ID \
  --track qa-ring \
  --emails "qa1@example.com,qa2@example.com"

gplay edits commit --package com.example.app --edit $EDIT_ID

Promote a build between tracks

Promotion copies the source track's version codes to a destination track. --rollout is a fraction (0.0–1.0), not a percentage:

bash
# Internal -> closed alpha
gplay promote --package com.example.app --from internal --to alpha

# Closed beta -> production at 10% staged rollout
gplay promote --package com.example.app --from beta --to production --rollout 0.1

Agent behavior

  • There is no testers list subcommand; use gplay testers get --track <track> to read a track's testers.
  • Never pass --testers to gplay release; assign testers via testers update/patch inside an edit, then commit.
  • Use update to set the exact tester set, patch to add without removing.
  • --rollout values are fractions (0.1 = 10%), range 0.0–1.0.
  • Always gplay edits commit — tester changes are inert until committed.
  • Confirm flags with --help before running.

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 Testers Orchestration AI skill do?

Manage testers for Google Play testing tracks (internal, closed alpha/beta, custom) using edit sessions. Use when assigning testers, creating closed tracks, or promoting builds between tracks.

Why use Gplay Testers Orchestration on TypingMind?

Because you install it once and use it with any model. Gplay Testers Orchestration 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 Testers Orchestration 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-testers-orchestration. 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 Testers Orchestration?

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 Testers Orchestration?

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

Is the Gplay Testers Orchestration 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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