talk-stage1-extract
Stage 1 — Extract and structure source material into a talk summary. Auto-detects REX vs Concept type.
npx skills add majiayu000/claude-skill-registry --skill stage-1-extract --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 proceedin
- When to Use This Skill
- What This Skill Does
- Input
- Output
- Source Type Detection
- Output Format
- Metric Extraction Rules
- Anti-patterns
- Validation Checklist
- Tips
- Related
What does the talk-stage1-extract skill do?
Stage 1 — Extract and structure source material into a talk summary. Auto-detects REX vs Concept type.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill stage-1-extract --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.