abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Classify constraints as hard, soft, or assumption-like after explicit identification.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill classify-constraint --agent claude-codeHow it fires
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Classify constraints as hard, soft, or assumption-like after explicit identification.
name: classify-constraint description: "Classify constraints as hard, soft, or assumption-like after explicit identification."
Classify each identified constraint as hard, soft, or assumption-like and make the consequence of that class explicit.
required: [constraint_candidates, evidence_register, decision_context] optional: [stakeholder_requirements, prior_constraint_ledger] constraints: [each candidate has a statement, scope, source, and consequence if violated]
1. Parse each candidate into condition, scope, source, and violation consequence. 2. Mark hard when violation is disqualifying and externally anchored; soft when tradeable; assumption-like when inferred and testable. 3. Record the evidence and counterevidence supporting the class. 4. Emit the classified ledger and tests or escalation required for uncertain classes.
produces: [constraint_ledger, classification_rationale, validation_actions] delta_fields: [findings, evidence_updates, assumption_updates, uncertainties, decisions]
Do not classify a preference as hard merely because it is strongly stated. Keep ambiguous constraints unresolved.
The complete research orchestration system for AI-native science. What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It is the researcher.
Repo: yogsoth-ai/de-anthropocentric-research-engine
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
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