case-study-extractor

Extract structured customer case studies from notes, transcripts, and outcome data.

11|1|Updated Mar 17, 2026

Search Tags:#template #storytelling #transcripts #enablement #case-study #evidence-grade

Ready to run

npx skills add https://github.com/nthnclrk/enablement-skills --skill case-study-extractor

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: case-study-extractor
Source: https://github.com/nthnclrk/enablement-skills/tree/main/skills/case-study-extractor
Command: npx skills add https://github.com/nthnclrk/enablement-skills --skill case-study-extractor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Convert raw customer notes, transcripts, and outcome data into concise, credible, reusable customer case studies for revenue enablement and marketing.

Core Features & Use Cases

Automates extraction of evidence-backed case narratives from raw materials.
Produces structured stories with before/after outcomes, timelines, and key metrics.
Supports routing to templates and anonymization options for safe sharing.

Quick Start

Create a ready-to-use case study draft from your notes and transcripts.

Frequently Asked Questions about case-study-extractor

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

FAQPage Schema

How do I turn raw interview transcripts into structured customer case studies?▼

Turn raw interview transcripts into structured customer case studies by extracting evidence-backed narratives with before/after outcomes, timelines, and key metrics. The process automates story structuring from messy notes to produce marketing-ready case studies.

What is evidence grading in sales enablement stories?▼

Evidence grading in sales enablement stories evaluates the credibility of outcome data and metrics extracted from transcripts. It ensures customer case studies contain verifiable before/after results and timelines for reliable revenue enablement use.

Can I anonymize customer details when generating case study narratives from notes?▼

You can anonymize customer details when generating case study narratives from notes using built-in anonymization options. This ensures safe sharing of structured stories while maintaining the credibility of outcome data and key metrics.

Does this case study extraction tool format outputs for different enablement packages?▼

This case study extraction tool formats outputs for different enablement packages using cross-package formatting templates. It structures extracted evidence and narratives into ready-to-use briefs suitable for various marketing and sales contexts.

What's the best way to generate sales stories from outcome data and notes?▼

The best way to generate sales stories from outcome data and notes is automating the extraction of evidence-backed narratives. This structures raw materials into concise stories with timelines, before/after outcomes, and key metrics for revenue enablement.

When should I not use automated case study extraction for marketing materials?▼

You should not use automated case study extraction when raw notes lack sufficient outcome data or verifiable metrics. Evidence grading requires concrete before/after results and timelines to produce credible, marketing-ready customer stories.