Claude-code-ultimate-guide talk-stage1-extract

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.

install
source · Clone the upstream repo
git clone https://github.com/FlorianBruniaux/claude-code-ultimate-guide
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/FlorianBruniaux/claude-code-ultimate-guide "$T" && mkdir -p ~/.claude/skills && cp -r "$T/examples/skills/talk-pipeline/stage-1-extract" ~/.claude/skills/florianbruniaux-claude-code-ultimate-guide-talk-stage1-extract && rm -rf "$T"
manifest: examples/skills/talk-pipeline/stage-1-extract/SKILL.md
source content

Talk Stage 1: Extract

Transforms raw material (article, transcript, notes, or a mix) into a structured summary ready for the pipeline's downstream stages. Auto-detects source type.

When to Use This Skill

  • Starting a new talk from any source material
  • First step of the talk pipeline (always run before other stages)
  • Auditing existing source material before committing to a talk

What This Skill Does

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

Input

Required:

  • Source file path or inline content (article
    .mdx
    , transcript
    .md
    , notes)
  • Metadata:
    slug
    ,
    event
    ,
    date
    ,
    duration
    ,
    audience
    ,
    type
    (--rex or --concept)

If metadata is missing →

AskUserQuestion
before proceeding.

Output

talks/{YYYY}-{slug}-summary.md

Source Type Detection

REX signalsConcept signals
Specific datesTheses, arguments
Measured metricsGeneral observations
Project/tool namesTrend observations
Commits, releases, PRsAnalogies, metaphors
"I shipped", "We built""I think", "In my opinion"

If hybrid → note both components in the summary.

Output Format

# Talk Summary — {Provisional Title}

**Slug** : {slug}
**Event** : {event}
**Date** : {date}
**Duration** : {duration} min
**Audience** : {audience description}
**Type detected** : REX | Concept | Hybrid
**Source** : {source file path}

---

## Narrative Arc

{Arc description: 3-5 sentences. Chronological if REX, thematic if Concept.}

## Main Themes

| # | Theme | Short description | Weight |
|---|-------|------------------|--------|
| 1 | {theme} | {description} | High/Medium/Low |
...

## Key Metrics Extracted

{All measurable numbers found in the source}

Format: `{value}` — {context} — Source: {section/page/git}

Examples:
- `1,200 commits` over 7 months — Source: "acceleration" section
- `-97% traffic` after SSE migration — Source: CHANGELOG v1.1.0

If none → "No verifiable metrics found (Concept mode)"

## Narrative Potential

{3-5 sentences on the strengths and possible narrative angles.
What makes this talk potentially strong. What might be missing.}

## Gaps Identified

- [ ] {gap 1} — {how to fill it}
- [ ] {gap 2} — {how to fill it}

If no obvious gaps → "No major gaps identified."

## Recommendations for next stages

- **Research**: {recommended / not applicable (Concept mode)} — {why}
- **Concepts**: {priority themes to explore}
- **Position**: {angles already visible from the source material}

---

*Generated by talk-stage1-extract — {date}*
*Source: {source path}*

Metric Extraction Rules

  • Do not round without indicating it
  • Always include the metric's source
  • If two sources contradict → flag both, do not pick one
  • No invented metrics to fill gaps
  • Use
    {before} → {after}
    format for evolutions

Anti-patterns

  • Vague summary ("This text is about AI...")
  • Omitting metrics — even approximate ones with their source
  • Hiding gaps — naming them is better than pretending they don't exist
  • Changing the detected type without justification
  • Inventing a narrative arc not present in the source

Validation Checklist

  • Source type detected and justified
  • Narrative arc in 3-5 clear sentences
  • All measurable metrics extracted with their source
  • Main themes listed (3-7 max)
  • Gaps explicitly identified
  • File saved to
    talks/{YYYY}-{slug}-summary.md

Tips

  • Run this before the orchestrator if you want to verify the source material is usable
  • The summary is the foundation — every downstream stage reads it
  • Hybrid sources (part REX, part Concept) are fine — name both components clearly

Related