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.