Claim Extractor
SkillAI & modelsExtracts 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.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Claim Extractor skill
What this skill tells your AI
The instructions your AI receives, as published by lyndonkl/claude in skills/claim-extractor/SKILL.md and read by ahel’s review.
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:
- "Attention is O(n²) in compute and memory in a naive implementation." [§2 ¶1]
- "Context windows are expensive because of attention's complexity." [§2 ¶1]
- "Each token attends to every other token via an n-by-n matrix." [§2 ¶1]
Guardrails
- Never paraphrase aggressively. Preserve the writer's hedges.
- Excerpts ≤200 chars verbatim.
- Coalesce adjacent claims only if they argue the same thing.
- Respect
[contrarian]annotations — still extract the claim, but flag it forclassify-claimto treat specially. - Don't extract claims from code blocks or quoted text.
Signals
- GitHub stars
- 158
- Forks
- 23
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
claim-extractor- Source
- github.com/lyndonkl/claude