talk-stage1-extract

Extract structured talk summaries from articles, transcripts, or notes.

Updated May 30, 2026
One-click install
npx skills add https://github.com/alexica00/claude-code-ultimate-guide --skill talk-stage1-extract-alexica00
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: talk-stage1-extract
Source: https://github.com/alexica00/claude-code-ultimate-guide/tree/main/examples/skills/talk-pipeline/stage-1-extract
Command: npx skills add https://github.com/alexica00/claude-code-ultimate-guide --skill talk-stage1-extract-alexica00

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Extracts and structures source material (articles, transcripts, notes) into a talk summary with narrative arc, themes, metrics, and gaps. Auto-detects REX vs Concept type. Use when starting a new talk from any source material or auditing existing material before committing to a talk.

Core Features & Use Cases

  • Collects metadata — asks for slug, event, date, duration, audience, mode if not provided
  • Reads the source — loads the source file or inline content
  • Detects source type — REX (real-world proof) vs Concept (ideas/thesis) based on content signals
  • Extracts the narrative arc — chronological for REX, thematic for Concept
  • Extracts metrics — every measurable number with its source
  • Identifies main themes — 3-7 themes
  • Flags gaps — what's missing for a complete talk
  • Writes {slug}-summary.md

Quick Start

Provide a source file path or inline content and any needed metadata to generate a talks/{YYYY}-{slug}-summary.md.

Frequently Asked Questions about talk-stage1-extract

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

FAQPage Schema
How do I summarize raw transcripts and notes into a structured talk outline?

To summarize raw transcripts and notes into a talk outline, provide the source file path or inline content. The tool extracts the narrative arc, themes, metrics, and gaps, then writes a structured summary markdown file.

Can I extract metrics and themes from an article to prepare a presentation?

You can extract metrics and themes from an article to prepare a presentation by inputting the article text. The system identifies 3-7 main themes and pulls every measurable number with its source to build your summary.

How does detecting REX versus Concept source types work for talk preparation?

Detecting REX versus Concept source types works by analyzing content signals to differentiate real-world proof from ideas or thesis. REX sources yield a chronological narrative arc, while Concept sources produce a thematic arc.

What is the best way to identify gaps in my existing material before writing a talk?

The best way to identify gaps in existing material before writing a talk is to audit it using this extraction process. It flags missing information needed for a complete talk and outputs the findings to a summary file.

What metadata do I need to provide to generate a talk summary from source material?

To generate a talk summary, you provide a slug, event, date, duration, audience, and mode if they are not already supplied. The system requests these metadata fields during processing to structure the output file correctly.

How do I create a narrative arc from raw notes for a speaking engagement?

To create a narrative arc from raw notes, the system reads your inline content or files and structures the chronological or thematic flow. It outputs a markdown file formatted under talks/{YYYY}-{slug}-summary.md.