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priority-rebalancer

@ConnorWhelan11/glia-fab
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SKILL.md

name priority-rebalancer
description Adjust exploration priorities based on accumulated evidence from rollouts. Updates genome weights, toolchain routing preferences, and bead priorities based on observed success rates and pattern analysis. Use when working on sleeptime tasks.
metadata [object Object]

Priority Rebalancer

Adjust exploration priorities based on accumulated evidence from rollouts.

Inputs

Parameter Type Required Default Description
patterns object Yes - Output from pattern-distiller
current_config object No - Current routing/priority config
adjustment_strength number No 0.3 How aggressively to adjust (0-1, higher = more change)
min_evidence integer No 5 Minimum pattern occurrences before adjusting

Outputs

Field Type Description
recommended_adjustments array Suggested config changes: - target (routing/genome/priority) - current_value - recommended_value - evidence (pattern_ids supporting change) - confidence
exploration_suggestions array Areas that need more exploration (low sample count)
exploitation_candidates array High-confidence patterns to exploit more

Usage

python scripts/priority-rebalancer.py [arguments]

Examples

Rebalance based on pattern analysis

Inputs:

adjustment_strength: 0.3
patterns:
  anti_patterns:
  - '...'
  patterns:
  - '...'

Outputs:

recommended_adjustments:
- confidence: 0.78
  current_value: codex
  evidence:
  - pattern_tc_003
  - pattern_tc_007
  rationale: Claude shows 85% success on high-risk tasks vs Codex 62%
  recommended_value: claude
  target: routing.risk.high.toolchain
- confidence: 0.65
  current_value: 0.7
  evidence:
  - anti_pattern_001
  rationale: Lower temperature reduces oscillation in repair loops
  recommended_value: 0.5
  target: genome.repair_prompt.temperature

Generated from `skills/sleeptime/priority-rebalancer.yaml`