Comparative Formulation

SkillDev tools

'Strategy: Construct comparative research questions — systematic comparison

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Comparative Formulation skill

What this skill tells your AI

The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/comparative-formulation/SKILL.md and read by ahel’s review.

Construct comparative research questions — when research requires comparing A vs B, systematically construct a fair, meaningful comparison.

When to Use

  • Need to compare two methods/conditions/groups
  • The hypothesis involves "X is better than / different from Y"
  • Need to ensure the fairness and validity of the comparison

Thinking Framework

Core logic: a good comparative research question requires clarifying four elements — what is compared (objects), along what dimension (metrics), under what conditions (controls), and what counts as "different" (threshold).

Comparison Design Principles

  • Fairness: the comparison conditions are fair to both sides (not a strawman)
  • Clear dimensions: along which dimension(s) the comparison is made
  • Controlled variables: all conditions are the same except the compared objects
  • Effect size: not just "whether there is a difference" but "how large a difference is meaningful"

Comparison Types

TypeExampleKey considerations
Method comparisonMethod A vs Method BImplementation fairness, dataset selection
Condition comparisonWith X vs Without XControlled variables, confounding factors
Group comparisonGroup A vs Group BMatching, selection bias
Temporal comparisonBefore vs AfterHistory effects, maturation effects

Budget Gate

TierComparison designFairness argumentOutput
SComparison objects + clear dimensionsBasic fairness statement≥1 comparative RQ
M+ controlled variables + effect sizeFairness argument + identification of potential bias≥2 comparative RQs
L+ multi-dimensional + sensitivityFull fairness analysis + bias mitigation strategy≥3 comparative RQs

Default Reference Flow

  1. Determine the comparison objects (what A and B are)
  2. Determine the comparison dimensions (along what metrics to compare)
  3. Determine the control conditions (what to keep constant)
  4. Argue fairness (whether the comparison is fair)
  5. Structure it with the PICO framework (the C component is core)
  6. FINER check
  7. Define success criteria (what counts as a "meaningful difference")

context-checkpoint

After the Strategy completes, context-checkpoint must be called, recording:

  • Comparison objects and selection rationale
  • Comparison dimensions
  • Fairness argument
  • Final comparative RQ

Available Tactics

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

TacticWhen to use
framework-selection-and-applicationTactic: Select the most suitable RQ framework and apply it systematically

Available SOPs

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

SOPWhen to use
finer-criteria-checkSOP: check research-question quality against each of the 5 FINER criteria
success-criteria-definitionSOP: Define measurable success criteria for a research question

Signals

GitHub stars
469
Forks
37
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
comparative-formulation
Source
github.com/yogsoth-ai/de-anthropocentric-research-engine
Comparative Formulation (comparative-formulation) · ahel