abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Maintain a diverse population of candidate solutions, mutate/recombine variants, select under explicit fitness and novelty criteria, and iterate while preserving useful niches rather than collapsing prematurely to one winner.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill evolve-solution-population --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/evolve-solution-populationContext preview
The summary Claude sees to decide when to auto-load this skill.
Maintain a diverse population of candidate solutions, mutate/recombine variants, select under explicit fitness and novelty criteria, and iterate while preserving useful niches rather than collapsing prematurely to one winner.
name: evolve-solution-population description: "Maintain a diverse population of candidate solutions, mutate/recombine variants, select under explicit fitness and novelty criteria, and iterate while preserving useful niches rather than collapsing prematurely to one winner."
Maintain diverse candidate solutions, mutate/recombine them, select under fitness and novelty criteria, and avoid premature convergence.
mode_contracts:
mutation-selection: &evolution_input
required: [initial_solution_population, fitness_criteria]
optional: [mutation_operators, novelty_criteria, iteration_budget]
constraints: [population_members_must_be_comparable_under_declared_criteria]
novelty-preserving-evolution: *evolution_inputDo not perform called SOP operations inline; each loaded SOP owns its contract and thresholds.
1. You MUST load skill `mutate-solution-population` to mutate or recombine the population. 2. You MUST load skill `select-solution-variants` to select solution variants. 3. You MUST load skill `measure-portfolio-diversity` to measure portfolio diversity. 4. You MUST load skill `assess-sensitivity` to assess selection sensitivity. 5. You MUST load skill `synthesize-idea` to synthesize the retained set. If the retained variants require an explicit final ordering, consider `rank-candidates` as the next tactic. Deviation: stop when added variation no longer changes the frontier or diversity objective; retain niche candidates when explicitly protected.
mode_contracts:
mutation-selection:
produces: [mechanism_to_design_mapping, generated_solutions, synthesis]
delta_fields: [findings, hypothesis_updates, uncertainties, decisions, open_questions]
novelty-preserving-evolution:
produces: [novelty_assessment]
delta_fields: [findings, hypothesis_updates, uncertainties, decisions, open_questions]Reject a single-winner result when novelty or niche preservation was required, and reject variants with untracked mutations.
Append population lineage, fitness changes, diversity deltas, and retained niches.
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.