abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Build a structured inventory of externally established reference items under a parent-specified schema, preserving applicability/status, key attributes, limitations, and provenance. Typical schemas include benchmark or known-solution/method family.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill inventory-reference-items --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/inventory-reference-itemsContext preview
The summary Claude sees to decide when to auto-load this skill.
Build a structured inventory of externally established reference items under a parent-specified schema, preserving applicability/status, key attributes, limitations, and provenance. Typical schemas include benchmark or known-solution/method family.
name: inventory-reference-items description: "Build a structured inventory of externally established reference items under a parent-specified schema, preserving applicability/status, key attributes, limitations, and provenance. Typical schemas include benchmark or known-solution/method family."
Build a structured inventory of externally established reference items under a caller-specified schema.
required: [reference_items, item_schema, applicability_rules] optional: [known_solutions, benchmarks, source_scope, status_vocabulary] constraints: [preserve applicability, status, limitations, key attributes, and provenance for every item]
1. Define the eligible reference universe and normalize item identifiers. 2. Extract schema fields, applicability, status, limitations, and provenance. 3. Deduplicate items without merging distinct benchmarks or methods. 4. Return the inventory with exclusions and unresolved provenance.
If reference items expose the metrics used for comparison, consider `decompose-evaluation-metric` as the next tactic.
produces: [reference_inventory, applicability_map, limitation_register, provenance_index] delta_fields: [findings, evidence_updates, uncertainties]
The caller must provide item type, schema, eligible source scope, inclusion/status rules, canonical identifier policy, and required provenance fields.
Reject inventory entries with no provenance, mixed item types under one schema, or deduplication that removes a distinct reference item.
No resolved v3 source node was present for these four entries; they remain explicitly marked concept/intermediate and are not replaced by a similarly named inventory.
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.