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Save Play Library

Community
gtmagents
save-play-library

Use to catalog churn/expansion plays tied to specific signals, cohorts, and owners.

Overview

Publishergtmagents
Repositorygtm-agents
Skill namesave-play-library
Stars
428
Forks
83
Bundled files
Instructions only
LicenseApache-2.0
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 gtmagents on GitHub. Read the source before you install it.

Installation

Install the Save Play Library 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.
    https://github.com/gtmagents/gtm-agents/tree/main/plugins/customer-analytics/skills/save-play-library
  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/gtmagents/gtm-agents.git /tmp/gtm-agents
mkdir -p .claude/skills
cp -r /tmp/gtm-agents/plugins/customer-analytics/skills/save-play-library .claude/skills/save-play-library
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Save Play Library 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 Save Play Library 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 Save Play Library 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.

Save Play Library Skill

When to Use

  • Translating retention signals into specific remediation actions.
  • Coordinating lifecycle marketing and CS teams on who does what.
  • Measuring effectiveness of save plays over time.

Framework

  1. Signal Definition – map triggers (drop in usage, support surge, NPS drop) to play categories.
  2. Play Blueprint – outline objective, audience, messaging, channels, and required assets.
  3. Owner Matrix – assign owners (CSM, lifecycle marketer, exec sponsor) with SLAs.
  4. Measurement Plan – specify KPIs, experiment windows, and success criteria.
  5. Feedback Loop – capture results, learnings, and iterate on play details.

Templates

  • Play card (trigger, action steps, assets, KPI, owner).
  • Experiment tracker with control/test cohorts.
  • Post-play retrospective form.

Tips

  • Keep plays modular so they can stack (email + exec outreach + offer).
  • Include links to enablement assets for quick execution.
  • Pair with retention-dashboard to trigger plays automatically when thresholds trip.

Frequently asked questions

What does the Save Play Library AI skill do?

Use to catalog churn/expansion plays tied to specific signals, cohorts, and owners.

Why use Save Play Library on TypingMind?

Because you install it once and use it with any model. Save Play Library 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 Save Play Library in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gtmagents/gtm-agents/tree/main/plugins/customer-analytics/skills/save-play-library. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Save Play Library?

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 Save Play Library?

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

Is the Save Play Library AI skill free?

Yes. It is published on GitHub by gtmagents 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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