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Case Studies

Community
gtmagents
case-studies

Use when creating customer stories that prove ROI, highlight use cases, and equip sales with proof.

Overview

Publishergtmagents
Repositorygtm-agents
Skill namecase-studies
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 Case Studies 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/content-marketing/skills/case-studies
  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/content-marketing/skills/case-studies .claude/skills/case-studies
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Case Studies 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 Case Studies 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 Case Studies 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.

Case Studies Skill

When to Use

  • Sales needs tailored proof points for a segment or persona.
  • Marketing is launching a campaign that requires social proof.
  • Customer success wants standardized win-story format.

Framework

  1. Story Framework (CHIC) – Challenge → Hypothesis → Implementation → Change (results).
  2. Data Gathering – collect metrics (time saved, revenue lift), qualitative quotes, before/after workflows.
  3. Narrative Structure – exec summary, customer background, stakes, solution, outcomes, CTA.
  4. Format Variations – PDF, one-pager, slide deck, video script, micro social posts.
  5. Enablement Package – key stats table, objection responses, industry tags.

Templates

  • Narrative brief outlining each CHIC section with quote/data placeholders.
  • Multi-format layout kit (PDF, one-pager, slide deck) sharing headline + proof modules.
  • Enablement bundle: stats table, objection matrix, industry filter tags.

Tips

  • Secure approvals early—share outlines with customers/legal before writing.
  • Lead with outcomes; move background into sidebars to keep attention.
  • Build a modular proof library so stats auto-populate future case studies.
  • Produce derivative social tiles or short videos alongside the long-form asset.

Checklist

  • At least 2 hard metrics and 1 qualitative quote.
  • Visual timeline or architecture diagram.
  • CTA customized per campaign (demo, workshop, download).
  • Approvals from customer + legal.

Frequently asked questions

What does the Case Studies AI skill do?

Use when creating customer stories that prove ROI, highlight use cases, and equip sales with proof.

Why use Case Studies on TypingMind?

Because you install it once and use it with any model. Case Studies 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 Case Studies in TypingMind?

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

Which AI models can use Case Studies?

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 Case Studies?

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

Is the Case Studies 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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