2.8 KiB
2.8 KiB
Comparative Analysis
This reference distills four meta-skill archetypes into one design system.
Shared Logic
All four approaches converge on the same model:
- A skill is a folderized capability package, not a prompt snippet.
- Frontmatter description is the trigger surface.
- Long instructions should be split by progressive disclosure.
- Skills are most valuable for repeated, multi-step, tool-using workflows.
- Skills become more valuable when they are portable, maintainable, and shareable.
Structure-First Creator
Primary strengths:
- clear structure and boundary discipline
- strong context-efficiency mindset
- good guidance on progressive disclosure
- pragmatic skeleton for authoring without overbuilding
Primary gaps:
- lighter on trigger benchmarking than the eval-first archetype
- lighter on distribution and registry than the factory archetype
- less opinionated on organizational operations beyond good authoring practice
Use it for:
- canonical package structure
- concise writing standard
- deciding what belongs in
SKILL.mdvsreferences/
Eval-First Creator
Primary strengths:
- eval-first mindset
- explicit trigger optimization
- positive and negative prompt testing
- iterative improvement loop with benchmark thinking
Primary gaps:
- heavier process cost
- more suitable for high-value skills than quick one-offs
- some workflow assumptions are tied to a specific runtime style
Use it for:
- trigger eval design
- benchmark loops
- systematic improvement of important skills
Template-First Scaffold
Primary strengths:
- fast onboarding
- clean scaffold
- easy explanation of required fields
- good for normalizing team authoring habits
Primary gaps:
- shallow evaluation model
- limited operations guidance after scaffolding
- more a template than a full skill engineering system
Use it for:
- starter layout
- contributor onboarding
- low-friction authoring workflow
Factory-First Builder
Primary strengths:
- strongest productization instinct
- cross-platform packaging and export thinking
- validation, security, staleness, and registry mindset
- closest to a skill factory instead of a skill template
Primary gaps:
- heavier system and maintenance cost
- portability requires adaptation layers in practice
- may be excessive for small personal skills
Use it for:
- distribution and registry model
- packaging lifecycle
- maintenance and governance thinking
Yao Synthesis
The right synthesis is:
- structure-first for clarity
- eval-first for reliability
- template-first for onboarding
- factory-first for operations and scale
That combination yields a meta-skill that is:
- lightweight enough to use often
- rigorous enough for important skills
- structured enough for team adoption
- operational enough for long-term reuse