experiment-config-generation

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/experiment-config-generation

Synthesize experiment design elements into executable configuration files

  • Identifies and integrates design matrix, environment, seeds, and metrics from upstream SOPs.
  • Deploys subagent for format conversion and consistency validation of generated configuration files.
  • Decides on the appropriate format (YAML/JSON) based on user requirements or default settings.
  • Delivers executable experiment configuration files to facilitate seamless execution of experiments.

SKILL.md

.github/skills/experiment-config-generationView on GitHub ↗
---
name: experiment-config-generation
description: "SOP: generate executable experiment configuration files"
version: 1.0.0
category: experiment-execution
type: sop
execution: subagent
prompt: ./prompt.md
used-by:
  - factor-level-design
shared:
  - implementation-planning
input: "Design matrix + environment spec + seed protocol + metric definitions"
output: "Executable experiment configuration file set (YAML/JSON)"
---

# SOP: Experiment Config Generation

Synthesize all experiment design elements (design matrix, environment, seeds, metrics) into directly executable configuration files, enabling seamless transition from design to execution.

## Execution

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

## Why Subagent

Config generation requires integrating outputs from multiple upstream SOPs, transforming abstract experiment designs into concrete executable specifications — involves format conversion and consistency validation.

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