level-specification

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/level-specification

Specify test levels for each experimental factor with justification

  • Solves the problem of selecting optimal values for experimental factors
  • Relies on input from factor-level-design and other experiment design skills
  • Analyzes factor types, ranges, and experimental goals to determine spacing and values
  • Returns a structured list of levels with reasoning for each selection

SKILL.md

.github/skills/level-specificationView on GitHub ↗
---
name: level-specification
description: "Determine appropriate levels for each experimental factor"
version: 1.0.0
category: experiment-execution
type: sop
execution: subagent
prompt: ./prompt.md
used-by:
  - factor-level-design
  - scaling-design
  - robustness-design
  - budget-constrained-design
input: factor list with types and ranges
output: specified levels for each factor with justification
---

# SOP: Level Specification

Determine the specific values (levels) at which each factor will be tested, including spacing strategy and justification.

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

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