atomize-claim
SkillDev toolsLets your agent break a complex argument into separate, testable claims and surface hidden assumptions.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the atomize-claim skill
About this skill
Decompose a compound position into atomic, independently challengeable/falsifiable claims and expose implicit assumptions.
What this skill tells your AI
The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/atomize-claim/SKILL.md and read by ahel’s review.
Purpose
Split a compound claim into atomic propositions that can receive separate evidence and confidence judgments.
Input contract
required: [compound_claim]
optional: [argument_context, domain_terms, evidence_records]
constraints: [atomic claims retain logical connectors and scope qualifiers]
Procedure
- Identify subjects, predicates, qualifiers, conditions, and logical connectors.
- Split independent propositions while preserving dependency and quantifier scope.
- Mark implicit premises and ambiguous terms.
- Emit an ordered atomic claim set with recomposition rules.
Output contract
produces: [atomic_claims, logical_connectors, implicit_premises, recomposition_map]
delta_fields: [findings, uncertainties, open_questions]
Quality gates
- Recombining the atoms preserves the original meaning.
- Each atom is independently evidence-addressable.
Failure and counterexamples
Do not split a definition or condition from the proposition it qualifies.
Provenance map
resolved: atomize-claim
Signals
- GitHub stars
- 501
- Forks
- 41
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Key
atomize-claim- Source
- github.com/yogsoth-ai/de-anthropocentric-research-engine