case-study

Generates customer success stories from internal solution designs and account documentation.

3|Updated Jun 30, 2026

Search Tags:#marketing #content-generation #sales-enablement #case-study #evidence-tracking #customer-story

Ready to run

npx skills add https://github.com/henryroxstar/gtm-engine --skill case-study-henryroxstar

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: case-study
Source: https://github.com/henryroxstar/gtm-engine/tree/main/plugin/skills/case-study
Command: npx skills add https://github.com/henryroxstar/gtm-engine --skill case-study-henryroxstar

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python-docx, uv, and includes references (resource) components.

What problem does it solve?

This skill solves the challenge of creating credible, evidence-based customer stories without fabricating metrics or quotes, ensuring that marketing assets remain grounded in verified project outcomes.

Core Features & Use Cases

Evidence-Tiered Drafting: Automatically categorizes stories into Deployed, Pilot, or Design-stage to ensure accurate metric treatment.
Approval Pack Generation: Creates a structured document for customer legal and comms teams to sign off on quotes and claims.
Multi-Format Output: Renders the story as Markdown, HTML, and Word (.docx) while maintaining brand consistency.

Quick Start

Ask the case-study skill to write a customer story for the company Acme Corp based on the existing solution design.

Frequently Asked Questions about case-study

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I generate customer success stories from internal solution designs without fabricating metrics?▼

You generate evidence-based customer success stories by inputting internal solution designs and account documentation. The skill categorizes drafts into Deployed, Pilot, or Design-stage tiers, ensuring claims remain grounded in verified project outcomes without fabricating metrics or quotes.

What is the best way to create an approval pack for customer legal and comms teams to sign off on case study quotes?▼

The best way to create an approval pack is to generate a structured document specifically for customer legal and comms teams. This pack allows stakeholders to securely review and sign off on quotes, claims, and metrics before the customer story is published.

Can I render B2B case studies into multiple document formats like Markdown, HTML, and Word?▼

Yes, you can render B2B case studies into Markdown, HTML, and Word formats. The skill requires the python-docx dependency to output .docx files, ensuring brand-compliant formatting is maintained across all generated multi-format documents.

Does this case study generation tool work for B2B sales enablement workflows requiring verified evidence?▼

Yes, this tool is designed specifically for B2B sales enablement and marketing workflows requiring verified evidence. It processes read-only account documentation securely to produce credible customer stories suitable for enterprise sales contexts.

How are metrics treated differently when drafting customer stories at pilot versus deployed stages?▼

Metrics are treated differently through evidence-tiered drafting. Stories are automatically categorized into Deployed, Pilot, or Design-stage tiers, which dictates how metrics and claims are presented to ensure accurate representation of the project's actual maturity.

Do I need Python and uv installed to output brand-compliant case study documents?▼

Yes, you need Python, the uv package manager, and the python-docx library installed. These dependencies are required to process the internal documentation and render the final brand-compliant case study outputs in Word format.