abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Enumerate obstacles that block a target goal/direction, with type, evidence, and blocking relation.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill identify-obstacles --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/identify-obstaclesContext preview
The summary Claude sees to decide when to auto-load this skill.
Enumerate obstacles that block a target goal/direction, with type, evidence, and blocking relation.
name: identify-obstacles description: "Enumerate obstacles that block a target goal/direction, with type, evidence, and blocking relation."
Enumerate obstacles blocking a target goal or direction, with evidence and blocking relations.
required: [target_goal, current_state, domain_context] optional: [timeline, resource_inventory, prior_failures] constraints: [each obstacle has type, evidence, and blocking relation]
1. Compare target requirements with current capabilities and constraints. 2. Enumerate technical, evidential, resource, temporal, and dependency obstacles. 3. Link each obstacle to blocked outcomes and supporting evidence. 4. Return severity, uncertainty, and candidate removal questions.
If obstacles have comparable evidence, severity, and tractability fields, consider `score-object` as the next tactic.
produces: [obstacle_register, blocking_relations, evidence_links, removal_questions] delta_fields: [findings, uncertainties, open_questions]
Caller supplies goal schema, obstacle taxonomy, evidence fields, severity scale, and merge policy.
Reject generic risks, unsupported blockers, or lists with no relation to the target goal.
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.
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