# Claim Extractor

> Extracts atomic technical claims from a substacker essay draft, converting flowing intuition-first prose into a numbered list where each item is a statement that could in principle be verified or falsified. Skips non-technical sections (personal anecdote, motivation, call-to-action). Use when the Technical Reviewer starts a per-draft review. Trigger keywords — extract claims, atomic claims, technical claim list, fact-check prep.

- Skill: `lyndonkl/claim-extractor` (Agent Skill)
- Install (CLI): `npx skillmds add lyndonkl/claim-extractor`
- Raw SKILL.md: https://api.skillmd.com/api/skills/lyndonkl/claim-extractor/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: lyndonkl (https://skillmd.com/u/lyndonkl)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/lyndonkl/claim-extractor

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# Claim Extractor

## Workflow

```
Per draft:
- [ ] Step 1: Segment draft by heading / section
- [ ] Step 2: Within each section, split by sentence
- [ ] Step 3: Flag sentences containing technical claims:
    - Math symbols / formulas
    - Named systems, components, algorithms
    - Quantitative assertions
    - Universal quantifiers ("always", "never", "all models")
    - Named papers / results
- [ ] Step 4: Coalesce adjacent claim sentences that argue the same thing into one claim
- [ ] Step 5: Output numbered list: {id, excerpt (≤200 chars), location}
```

## Non-claim content (skip)

- Personal anecdotes without technical assertion
- Motivation / framing
- Calls to action
- Closing maxims (unless they assert a technical fact)

## Worked example

Draft paragraph:
> Attention is O(n²). This is why context windows are expensive. Each token looks at every other token, and the matrix is n-by-n.

Extraction:
1. "Attention is O(n²) in compute and memory in a naive implementation." [§2 ¶1]
2. "Context windows are expensive because of attention's complexity." [§2 ¶1]
3. "Each token attends to every other token via an n-by-n matrix." [§2 ¶1]

## Guardrails

1. Never paraphrase aggressively. Preserve the writer's hedges.
2. Excerpts ≤200 chars verbatim.
3. Coalesce adjacent claims only if they argue the same thing.
4. Respect `[contrarian]` annotations — still extract the claim, but flag it for `classify-claim` to treat specially.
5. Don't extract claims from code blocks or quoted text.