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Acurioustractor
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data-analysis

Extract themes, quotes, summaries from transcripts and stories for Empathy Ledger analytics dashboards.

Updated Aug 27, 2026
Search Tags:#analytics#themes#stories#transcripts#analyze#quotes
One-click install
npx skills add https://github.com/Acurioustractor/empathy-ledger-v2 --skill data-analysis-acurioustractor
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-analysis
Source: https://github.com/Acurioustractor/empathy-ledger-v2/tree/main/.claude/skills/local/data-analysis
Command: npx skills add https://github.com/Acurioustractor/empathy-ledger-v2 --skill data-analysis-acurioustractor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables teams within Empathy Ledger to extract structured, actionable insights from Indigenous storytelling data. By transforming transcripts and stories into organized themes, quotable passages, and concise summaries, it accelerates content analysis and discovery.

Core Features & Use Cases

  • Thematic Analysis: Identify and organize recurring themes across transcripts and stories to inform content, analytics, and governance.
  • Quote Extraction: Pull impactful quotes for story cards, exhibits, or cultural showcases.
  • Story Suggestions & Filtering: Generate related content and enable theme-based search and navigation across the library.
  • Analytics Dashboards: Provide data to power dashboards showing theme frequencies, quote counts, and storyteller contributions.

Quick Start

Use this skill to analyze a sample transcript to extract themes and quotes and populate the analytics fields.

Frequently Asked Questions about data-analysis

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

FAQPage Schema
How do I extract themes and quotes from transcripts automatically?▼

You can extract themes and quotes from transcripts using the built-in AI analysis pipeline, which processes story transcripts and stores structured summaries, recurring themes, and impactful quotes directly within the Empathy Ledger platform.

What is thematic analysis for Indigenous storytelling data?▼

Thematic analysis for Indigenous storytelling data involves identifying and organizing recurring themes across transcripts to inform content, analytics, and governance, transforming raw narratives into structured insights.

Can I build analytics dashboards using extracted story themes?▼

Yes, you can build analytics dashboards using extracted story themes. The Skill generates structured data outputs that power dashboards showing theme frequencies, quote counts, and storyteller contributions.

How do I filter stories by themes in the Empathy Ledger?▼

To filter stories by themes in the Empathy Ledger, the AI analysis pipeline tags transcripts with organized themes, enabling theme-based search and navigation across the entire story library.

Does this tool require any external dependencies to analyze transcripts?▼

No, this tool does not require external dependencies to analyze transcripts. It operates independently using its internal AI analysis pipeline to process stories and store results within the platform.

What is the best way to add impactful quotes to story cards?▼

The best way to add impactful quotes to story cards is to trigger the AI analysis pipeline, which automatically extracts quotable passages from transcripts and populates the story cards for cultural showcases.

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