abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Generate diverse candidate research fields/subfields consistent with current context while permitting deliberate boundary-crossing.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill generate-candidate-directions --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/generate-candidate-directionsContext preview
The summary Claude sees to decide when to auto-load this skill.
Generate diverse candidate research fields/subfields consistent with current context while permitting deliberate boundary-crossing.
name: generate-candidate-directions description: "Generate diverse candidate research fields/subfields consistent with current context while permitting deliberate boundary-crossing."
Generate diverse candidate research fields or subfields consistent with context while permitting deliberate boundary crossing.
required: [research_intent, scope_anchor] optional: [seed_evidence, actor_profile, constraints, neighboring_domains] constraints: [each candidate must state fit, boundary crossing, and evidence needs]
1. Extract the problem mechanism, outcome, and scope anchor. 2. Generate candidates within the anchor and from adjacent domains. 3. Record the transfer or boundary-crossing rationale for each candidate. 4. Remove duplicates while preserving materially different mechanisms.
If candidate fields are diverse enough for comparative characterization, consider `synthesize-field-panorama` as the next tactic.
produces: [candidate_directions, fit_rationales, boundary_crossings, evidence_questions] delta_fields: [findings, hypothesis_updates, uncertainties, open_questions, recommended_jumps]
Do not equate popularity with fit or generate a list of fields without a boundary rationale.
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.
Evaluate competing arguments against stated criteria and produce a reasoned verdict with uncertainty.
Move a scientific object up/down in abstraction or narrow/broaden selected scope dimensions (population, mechanism, context, outcome, timeframe, system…
Run structured attack/defense/adjudication over a claim, candidate, criterion set, or current winner. Perspective, target, escalation depth,…
Aggregate criterion or comparison results into an ordered recommendation under an explicit rule.
Abstract relational structure from source domains, map it to the target, validate depth, and instantiate transferable mechanisms.