parameter-space-construction

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Orchestrates driver identification and parameter enumeration to build the complete morphological field

yogsoth-ai By yogsoth-ai schedule Updated 6/16/2026

name: parameter-space-construction description: Orchestrates driver identification and parameter enumeration to build the complete morphological field version: 1.0.0 category: experiment-execution type: tactic orchestrates:

  • scenario-driver-identification
  • parameter-enumeration dependencies: sops:
    • parameter-enumeration
    • scenario-driver-identification

Tactic: Parameter Space Construction

Orchestration Pattern

  1. Spawn driver identificationscenario-driver-identification

    • Pass: research context, planning horizon, domain constraints
    • Receive: ranked list of 5-8 uncertainty drivers with descriptions
  2. Validate driver set

    • Check: Are drivers independent? (no redundancy)
    • Check: Do drivers span PESTEL categories? (no blind spots)
    • Check: Are drivers at the right abstraction level? (not too broad, not too narrow)
    • If validation fails: re-spawn with refined instructions
  3. Spawn parameter enumerationparameter-enumeration

    • Pass: validated driver list, MECE requirement, value count guidance (2-4 per driver)
    • Receive: complete Zwicky Box (driver × value matrix)
  4. Validate parameter space

    • Check: Are values mutually exclusive within each driver?
    • Check: Are values collectively exhaustive within each driver?
    • Check: Is the total configuration space manageable? (< 500 combinations)
    • If validation fails: re-spawn enumeration with tighter constraints
  5. Compute space metrics

    • Total configurations: product of all value counts
    • Expected surviving configs after CCA: ~10-20% of total
    • Estimated downstream budget: configs × per-scenario cost

Quality Checks

  • All drivers are genuinely uncertain (not predetermined)
  • No driver is a subset or consequence of another
  • Values within each driver are truly MECE
  • Total space is computationally tractable for CCA
  • Parameter space covers the planning horizon adequately

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

SOP When to use
parameter-enumeration Enumerate possible values for each uncertainty driver using MECE principles
scenario-driver-identification Identify key uncertainty drivers using PESTEL framework scanning
Install via CLI
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill parameter-space-construction
Repository Details
star Stars 331
call_split Forks 25
navigation Branch main
article Path SKILL.md
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