Individual skill
cavekit-writing
How to write Cavekit-quality kits that AI agents can consume effectively. Covers implementation-agnostic cavekit design, testable acceptance criteria, hierarchical structure, cross-referencing, cavekit templates, greenfield and rewrite patterns, cavekit compaction, and gap analysis. Trigger phrases: "write kits", "create kits", "cavekit this out", "define requirements for agents", "how to write kits for AI"
plugins/JuliusBrussee/blueprint/skills/cavekit-writing/SKILL.md
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# Cavekit Writing
## Core Principle: Kits Describe WHAT, Not HOW
Kits are **implementation-agnostic**. They define what the system must do and how to verify it, but never prescribe a specific framework, language, or architecture.
This is the fundamental distinction in Cavekit:
- **Kits** = WHAT must be true (framework-agnostic, durable, portable)
- **Plans** = HOW to build it (framework-specific, derived from kits)
- **Code** = the implementation (generated from plans, validated against kits)
### Why Implementation-Agnostic?
When kits avoid prescribing HOW, they become: