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experimental-design vs orbit-general

Which agent skill is right for you?


01 — TL;DR

If you need output specificity above all else, pick orbit-general (4.5/5). experimental-design (4.3/5) is a reasonable alternative if you're already in its source ecosystem. They overlap in agent skill territory.


02 — At a glance

Side by side

experimental-design

4.3/5

Category
General
Source
skillsmp.com
Tier
Reviewed
First published
2026-06-16
Trigger clarity
5.0
5.0
Output specificity
3.5
3.5
Scope precision
4.5
4.5
Self-containment
4.0
4.0
Reusability
4.0
4.0

orbit-general

4.5/5

Category
General
Source
skillsmp.com
Tier
Reviewed
First published
2026-07-28
Trigger clarity
4.5
4.5
Output specificity
4.5
4.5
Scope precision
5.0
5.0
Self-containment
4.5
4.5
Reusability
3.5
3.5

03 — Dimension breakdown

Where they differ

  1. Trigger clarity. trigger clarity: experimental-design is clearly stronger (5.0 vs 4.5). For workloads where this dimension matters, prefer experimental-design.
  2. Output specificity. output specificity: a meaningful gap. orbit-general scores 3.5 vs 4.5 for the other. If you need this dimension, orbit-general is the right pick.
  3. Scope precision. scope precision: orbit-general is clearly stronger (4.5 vs 5.0). For workloads where this dimension matters, prefer orbit-general.
  4. Self-containment. self-containment: orbit-general is clearly stronger (4.0 vs 4.5). For workloads where this dimension matters, prefer orbit-general.
  5. Reusability. reusability: experimental-design is clearly stronger (4.0 vs 3.5). For workloads where this dimension matters, prefer experimental-design.
04 — The decision

Which to pick

When to choose experimental-design

  • Your workload emphasizes trigger clarity — experimental-design scores 5.0 vs 4.5 here.
  • Your workload emphasizes reusability — experimental-design scores 4.0 vs 3.5 here.
  • The agent skill convention you're working in matches experimental-design's scope.

When to choose orbit-general

  • Your workload emphasizes output specificity — orbit-general scores 3.5 vs 4.5 here.
  • Your workload emphasizes scope precision — orbit-general scores 4.5 vs 5.0 here.
  • Your workload emphasizes self-containment — orbit-general scores 4.0 vs 4.5 here.
  • You weight community adoption — orbit-general's upstream repo has 80,614 stars vs 28,193.
05 — Use cases

Scenario by scenario

Scenario Winner Why
Agent must auto-select between many agent skills experimental-design Trigger clarity decides — clearer triggers reduce routing errors.
Output must be a specific file format or structured data orbit-general Output specificity determines whether downstream tools can rely on the result.
Skill must be readable and complete out of the box orbit-general Self-containment matters when you're not the original author.
Cross-team or cross-project reuse expected experimental-design Reusability separates one-off scripts from durable building blocks.
06 — FAQ

Common questions

Which is better, experimental-design or orbit-general?
orbit-general ranks higher overall (4.5 vs 4.3 on our 0–5 rubric). That said, the better choice depends on which dimensions matter most for your use case.
Are experimental-design and orbit-general both free to use?
Both skills are free and open-source (or freely licensed). experimental-design: See source repo. orbit-general: See source repo. Installation has no cost; usage costs depend on the underlying LLM tokens consumed when you invoke the skill.
Can I install both experimental-design and orbit-general at the same time?
Yes. Agent skills are not exclusive — an agent runtime (Claude Code, Codex, etc.) can have many skills installed and route to whichever matches the current task. Installing both is a low-cost way to keep your options open.
Where do these skills come from?
experimental-design is sourced from skillsmp.com (curated marketplace). orbit-general is sourced from skillsmp.com (curated marketplace). We verify each skill across multiple sources where possible; experimental-design appears in 1 source, orbit-general in 1.

477 words · Tier S (same-cluster)