abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Identify the limiting dimension or dependency currently constraining progress.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill identify-bottleneck --agent claude-codeHow it fires
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Identify the limiting dimension or dependency currently constraining progress.
name: identify-bottleneck description: "Identify the limiting dimension or dependency currently constraining progress."
Identify the limiting dimension or dependency currently constraining progress.
required: [goal_state, dependency_or_factor_set, progress_evidence] optional: [capacity_limits, intervention_history, bottleneck_definition] constraints: [bottleneck claim requires a limiting relation and evidence]
1. Map factors and dependencies to the blocked outcome. 2. Compare capacities, delays, and failure frequencies. 3. Test candidate limits by tracing counterfactual relief or substitution. 4. Return primary bottleneck, alternatives, and evidence gaps.
produces: [bottleneck_assessment, limiting_relation, candidate_reliefs, evidence_gaps] delta_fields: [findings, decisions, uncertainties]
Caller supplies goal schema, dependency graph, capacity metrics, bottleneck definition, and counterfactual test.
Reject bottlenecks inferred from salience alone or without a relation to the blocked outcome.
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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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.