abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Characterize what blocks a research target: readiness dimensions, obstacles, bottlenecks, resource gaps, causal constraints, dependencies, conflicts, removability, and mitigation pathways. Depth selects lightweight triage, readiness assessment, or causal/TOC-style constraint
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill analyze-constraints-readiness --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/analyze-constraints-readinessContext preview
The summary Claude sees to decide when to auto-load this skill.
Characterize what blocks a research target: readiness dimensions, obstacles, bottlenecks, resource gaps, causal constraints, dependencies, conflicts, removability, and mitigation pathways. Depth selects lightweight triage, readiness assessment, or causal/TOC-style constraint
name: analyze-constraints-readiness description: "Characterize what blocks a research target: readiness dimensions, obstacles, bottlenecks, resource gaps, causal constraints, dependencies, conflicts, removability, and mitigation pathways. Depth selects lightweight triage, readiness assessment, or causal/TOC-style constraint analysis."
Assess feasibility and readiness by identifying constraints, resources, dependencies, bottlenecks, and maturation gates.
mode_contracts:
obstacle-triage: &readiness_input
required: [candidate_or_plan, readiness_dimensions]
optional: [resource_estimates, dependencies, assumptions, target_gates]
constraints: [evidence_must_be_attached_to_each_scored_dimension]
readiness-assessment: *readiness_input
resource-envelope: *readiness_input
causal-constraint-analysis: *readiness_input
maturation-path: *readiness_inputDo not perform called SOP operations inline; each loaded SOP owns its contract and thresholds.
1. Define candidate, dimensions, hard constraints, and target gates. You MUST load skill `classify-constraint` to classify each declared constraint. 2. Select `obstacle-triage`, `readiness-assessment`, `resource-envelope`, `causal-constraint-analysis`, or `maturation-path`. 3. You MUST load skill `score-object` to score the selected dimensions with evidence. You MUST load skill `identify-bottleneck` to identify binding constraints and dependencies. 4. You MUST load skill `assess-removability` to test whether binding constraints can be removed. You MUST load skill `design-mitigation` to design removal or mitigation paths and return a readiness conclusion. If several feasible responses must be balanced as a joint set, consider `portfolio-optimization`. If the target goal remains too broad to assess, consider `decompose-research-goal`. If external change dominates present readiness, consider `analyze-future-scenarios`. If several candidate paths are ready for comparative selection, `rank-candidates` may be the better next tactic.
mode_contracts:
obstacle-triage: &constraint_output
produces: [constraint_register, bottlenecks, mitigation_paths]
delta_fields: [findings, decisions, uncertainties, open_questions, recommended_jumps]
readiness-assessment:
produces: [readiness_profile, bottlenecks]
delta_fields: [findings, decisions, uncertainties, open_questions, recommended_jumps]
resource-envelope:
produces: [resource_envelope, bottlenecks, mitigation_paths]
delta_fields: [findings, decisions, uncertainties, open_questions, recommended_jumps]
causal-constraint-analysis: *constraint_output
maturation-path:
produces: [readiness_profile, resource_envelope, stage_gates, mitigation_paths]
delta_fields: [findings, decisions, uncertainties, open_questions, recommended_jumps]Do not label a candidate ready with missing evidence, unclassified hard constraints, or an unbounded resource estimate. A conflict with no manageable injection remains blocked.
26 architecture `old` entries; readiness, feasibility, resource, obstacle, dependency, sensitivity, and maturation families are merged by mode. Missing aliases are listed in log.
Append dimension scores/evidence, constraint IDs, bottleneck rationale, resources, gates, and unresolv
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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Move a scientific object up/down in abstraction or narrow/broaden selected scope dimensions (population, mechanism, context, outcome, timeframe, system…
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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.