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Skill

/evolve-solution-population

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.

From plugin
de-anthropocentric-research-engine
499200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill evolve-solution-population --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/evolve-solution-population

Context 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.

SKILL.md

evolve-solution-population.SKILL.md
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."

evolve-solution-population

Purpose

Maintain diverse candidate solutions, mutate/recombine them, select under fitness and novelty criteria, and avoid premature convergence.

Input contract

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_input

Execution protocol

Do 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 branches

  • `mutation-selection`: mutate/recombine, score, and select across iterations.
  • `novelty-preserving-evolution`: apply diversity pressure and protect useful niches before convergence.

Output contract

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]

Thresholds and quality gates

  • B: mutation/recombination lineage is traceable; selection criteria are explicit; diversity is measured before convergence.

Failure and counterexamples

Reject a single-winner result when novelty or niche preservation was required, and reject variants with untracked mutations.

Provenance map

  • `creative-ideation/systematic-enumeration`, `evolution-strategy`, `variation-selection`: resolved/concept according to exact v3 lookup.
  • Status: `creative-ideation/systematic-enumeration`, `evolution-strategy` resolved; `variation-selection` concept.

Preserved source criteria ledger

  • Preserve mutation, recombination, selection, diversity pressure, and niche preservation.

Context checkpoint / Delta notes

Append population lineage, fitness changes, diversity deltas, and retained niches.

Read more
Ships withde-anthropocentric-research-engine

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.

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Python
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Apache-2.0
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Repo: yogsoth-ai/de-anthropocentric-research-engine