Case Study Builder logo

Case Study Builder

Organization
LeadMagic
case-study-builder

Create customer case studies in sales-ready format — Challenge→Solution→Results structure, before/after metrics, quote integration, two-length formats (1-page summary + full version). Use when creating case studies, customer success stories, proof content, or sales collateral. Triggers on: "case study", "customer story", "success story", "proof content", "customer example", "results story", or any request to document customer outcomes.

Overview

PublisherLeadMagic
Repositorygtm-skills
Skill namecase-study-builder
Stars
72
Forks
18
Bundled files
3
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.

  • 3 bundled files

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

  • Open source

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

Installation

Install the Case Study Builder 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/LeadMagic/gtm-skills/tree/main/skills/design/case-study-builder
  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/LeadMagic/gtm-skills.git /tmp/gtm-skills
mkdir -p .claude/skills
cp -r /tmp/gtm-skills/skills/design/case-study-builder .claude/skills/case-study-builder
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Case Study Builder 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 Study Builder 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 Study Builder 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 Study Builder

Overview

A case study is the most versatile proof asset in B2B. It proves your product works in someone else's hands. This skill produces sales-ready case studies: one-page for quick sharing, full version for late-stage deals, always with specific metrics and real quotes.

The golden rule: a case study without numbers is a testimonial. Every case study must answer "what changed, and by how much?"

Authoritative Foundations

  • Before-After-Bridge copy formula — Structure the story as the customer's situation before, the result after, and the product as the bridge between them.
  • Joanna Wiebe (Copyhackers) — Voice-of-customer copy — Quote the customer's own words for the problem and result; interview transcripts beat marketing paraphrase.
  • Nielsen Norman Group — How users read on the web — Readers scan in an F-pattern, so lead with the metric, use subheads, and keep proof in the first screen.

When to Use

  • "Create a case study about [customer]"
  • "Write a customer success story"
  • "Build proof content for sales"
  • "Document customer results"
  • "Create a case study for our website"
  • "I need customer proof for a deal"

Step-by-Step Process

Phase 1: Information Gathering

Collect from the customer:

  • Company profile (industry, size, use case)
  • Challenge before your product (what was broken, what it cost)
  • Solution (how they use your product, implementation timeline)
  • Results (specific metrics — "reduced X by Y%" not "improved efficiency")
  • Customer quote (in their words, not yours)
  • Permission to use their name and logo

Phase 2: Structure

1-Page Summary (for quick sharing):

┌──────────────────────────────────────────┐
│ CASE STUDY: [Customer Name]              │
│                                          │
│ [Customer logo]                          │
│ Industry: [X] | Size: [Y employees]      │
│                                          │
│ THE CHALLENGE                            │
│ [2-3 sentences. What was broken?         │
│  What did it cost?]                      │
│                                          │
│ THE SOLUTION                             │
│ [2-3 sentences. How they use us.         │
│  Implementation timeline.]               │
│                                          │
│ THE RESULTS                              │
│ • [Metric 1 — specific number]           │
│ • [Metric 2 — specific number]           │
│ • [Metric 3 — specific number]           │
│                                          │
│ "[Customer quote — in their words]"       │
│ — [Name, Title]                          │
│                                          │
│ [CTA: Book a demo / See full case study] │
└──────────────────────────────────────────┘

Full Version (for late-stage deals):

Add: detailed implementation story, additional metrics, second quote from a different stakeholder (e.g., end user + executive), "what's next" section showing expansion plans, and a comparison table (before vs after).

Phase 3: Writing Guidelines

  • Lead with the result. Not "Company X uses our product." — "Company X reduced time-to-close by 40% in 90 days. Here's how."
  • Customer's words, not yours. Use their language. If they say "it was a nightmare," say "it was a nightmare" — not "they faced significant challenges."
  • Specific over impressive. "Saved $247,000 annually" beats "drove significant cost savings." Specific numbers build credibility.
  • One story, one takeaway. Don't try to prove everything. Pick the strongest story and tell it well.

Phase 4: Approval and Distribution

  • Customer approval: send draft, let them edit quotes, get written permission.
  • Sales distribution: add to CRM, sales portal, pitch deck, proposal templates.
  • Marketing distribution: website, social, email nurture, paid retargeting.

Output Format

Two versions: 1-page summary (for email, LinkedIn, quick sharing) and full version (for late-stage deals, website, sales portal).

Quality Check

  • Specific, named metrics (not "improved efficiency")
  • Customer quote in their words (not marketing language)
  • Challenge → Solution → Results structure
  • Customer name and logo included (with permission)
  • 1-page version scannable in 30 seconds
  • Full version has implementation detail
  • Customer has approved final text
  • CTA present on both versions

Common Pitfalls

  1. No metrics. "They love our product" is a testimonial, not a case study. Every case study needs specific, named numbers.

  2. Marketing language in quotes. "We leveraged their best-in-class solution" — no human talks like this. Use their actual words.

  3. Too many results. 3-4 metrics max. Pick the strongest ones. More metrics dilute the impact of each.

  4. No customer approval. Never publish a case study without written permission. Include the approval step in your process.

  5. One format for everything. Sales needs a 1-pager. Marketing needs a story. Website needs both. Build both formats.

Execution Artifacts

  • references/framework-notes.md — named frameworks, citation anchors, and operating assumptions
  • templates/output-template.md — copy-paste deliverable structure for the user
  • scripts/check-output.py — local checklist validator for required sections This skill includes lightweight artifacts the agent can load on demand: Use the artifacts when the user asks for an implementation-ready deliverable, a repeatable workflow, or a quality check rather than generic advice.

Related Skills

  • customer-marketing: Customer advocacy program
  • sales-enablement: Sales collateral package
  • roi-calculator: Quantify results for case studies

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 Case Study Builder AI skill do?

Create customer case studies in sales-ready format — Challenge→Solution→Results structure, before/after metrics, quote integration, two-length formats (1-page summary + full version). Use when creating case studies, customer success stories, proof content, or sales collateral. Triggers on: "case study", "customer story", "success story", "proof content", "customer example", "results story", or any request to document customer outcomes.

Why use Case Study Builder on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LeadMagic/gtm-skills/tree/main/skills/design/case-study-builder. 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 Case Study Builder?

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 Study Builder?

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

Is the Case Study Builder AI skill free?

Yes. It is published on GitHub by LeadMagic 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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