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dimension-discovery

Skill2 starsChanged 6 months agoApache-2.0View on GitHub

Strategy for identifying fundamental dimensions of variation in a design space.

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Look for the axes that practitioners implicitly use when comparing approaches.

    line 14

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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Files
SKILL.md

Dimension Discovery

Identify the fundamental axes of variation that define the design space. Each dimension should be independent and meaningful.

Guiding Focus

Look for the axes that practitioners implicitly use when comparing approaches. "Fast vs accurate", "local vs global", "supervised vs unsupervised" — these are dimensions. Find the ones specific to your domain.

Available Tactics

  • axis-extraction — systematically extract axes from literature
  • matrix-generation — test independence of candidate dimensions

Budget Slice

MetricSML
Candidate dimensions51015
Validated dimensions3610
Sources analyzed82040

State Ledger Template

| Metric              | Target | Current | Status |
|---------------------|--------|---------|--------|
| Candidate dimensions| X      | 0       | ⬜     |
| Validated dimensions| X      | 0       | ⬜     |
| Sources analyzed    | X      | 0       | ⬜     |
<HARD-GATE> Cannot exit until 80% of budget met. Print state ledger before each iteration decision. </HARD-GATE>

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