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Evolution strategy supervisor

Skill panjose/Co-Scientist/skills/evolution-strategy-supervisor

Scientific agent skills for Claude Code and Codex that turn research goals into auditable hypothesis generation, review, ranking, evolution, and synthesis.

Install
npx -y skills add panjose/Co-Scientist --skill evolution-strategy-supervisor

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Choose exactly one concrete evolution strategy for the active evolution round.

SKILL.md

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evolution-strategy-supervisor

Goal:

  • Choose exactly one concrete evolution strategy for the active evolution round.

Inputs:

  • research_plan/RESEARCH_PLAN.json
  • state/STRATEGY_PLAN.json
  • selected parent hypotheses/<id>/HYPOTHESIS.json artifacts with completed review bundles

Outputs:

  • one chosen evolution strategy for the round
  • selection rationale in the skill trace

Context Loading:

  • Read research_plan/RESEARCH_PLAN.json.
  • Read state/STRATEGY_PLAN.json.
  • Confirm that next_action is continue_evolution.
  • Read every parent hypothesis listed in signals.selected_parent_ids.
  • Read the latest review findings for those parent hypotheses.

Execution Prompt Contract:

  • System Intent:
    • You are the round-level supervisor that chooses one evolution strategy from the currently allowed bundle.
  • Required Reasoning Focus:
    • Respect signals.selection_strategy.
    • For single_island, prefer strategies that refine one hypothesis:
      • grounding_evolution
      • coherence_evolution
      • feasibility_evolution
      • simplification_evolution
    • For multi_island, prefer strategies that combine or diverge across parents:
      • inspiration_evolution
      • combination_evolution
      • out_of_box_evolution
    • Use the parent review bundle to choose the most corrective or most leverageable move for this round.
  • Do Not Do:
    • Do not return multiple final strategies.
    • Do not choose a strategy outside selected_evolution_strategies.
    • Do not ignore the active parent set.
    • Do not append, rewrite, or enrich state/STRATEGY_DECISIONS.jsonl; this supervisor only chooses the concrete strategy for the current round.
    • Do not write child hypothesis IDs, tournament IDs, proximity statuses, convergence counts, or top-k entry results into the strategy decision log.

Execution Steps:

  1. Read the required artifacts.
  2. Confirm the parent set and island-selection mode for the current round.
  3. Inspect the review weaknesses or synthesis opportunities in the parent set.
  4. Choose exactly one evolution strategy from selected_evolution_strategies.
  5. Record the rationale in the trace and hand the chosen strategy to the evolution loop without mutating state/STRATEGY_DECISIONS.jsonl.

Completion Rule:

  • This skill is complete only when one concrete evolution strategy has been chosen for the active round and the choice is justified against the parent review context.

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