scaling-regime-detection

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/scaling-regime-detection

Identifies scaling behavior changes and their causes

  • Detects shifts in system performance metrics at scale dimensions.
  • Utilizes historical performance data to identify regime changes.
  • Analyzes patterns and anomalies to determine mechanisms behind transitions.
  • Provides insights into when and why the system's behavior qualitatively alters.

SKILL.md

.github/skills/scaling-regime-detectionView on GitHub ↗
---
name: scaling-regime-detection
description: Detect regime changes in scaling behavior — breakpoints where behavior qualitatively shifts, mechanisms behind transitions.
execution: subagent
prompt: ./prompt.md
input: performance_data (string), scale_dimensions (string)
used-by: failure-mode-analysis, scaling-frontier
---

# Scaling Regime Detection

Detect where scaling behavior qualitatively changes.

## Execution

Subagent — spawned via subagent-spawning/spawn-agent.

## Budget

One unit = one scaling regime analysis.

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