Extensible Skills: Customization Without Modification
Making AI tools transparent, customizable, and extensible
This overview summarizes the extensibility categories and links to the published specification.
Formal Specification (Normative)
The Extensible Skills Specification defines:
- Three extensibility categories -- extensible, semi-extensible, not-extensible
- Context loading specification -- Instruction-based skill memories, DCI syntax for other contexts, and graceful degradation
- Detection algorithm -- How categories are determined from SKILL.md content
- Conformance requirements -- What registries must implement
Historical implementation guide
A separate implementation guide for the earlier skill-memories and Reflect architecture is not available in the published documentation. This overview does not provide its promised setup instructions or FAQ. For current SpecWeave commands, use the skills reference.
Quick Reference
| Category | Meaning | Detection |
|---|---|---|
| Extensible | Instruction or injection block referencing skill-memories. Standard, discoverable customization. | Instruction or injection block referencing skill-memories |
| Semi-Extensible | Mentions customization but not through the standard system. | Keyword signals without skill-memories reference |
| Not Extensible | No customization mechanism. Fork to change. | No signals detected |
See Also
- Skills Overview -- Both skill layers at a glance
- Claude Skills Deep Dive (historical reference; not published) -- How skills work under the hood
- Self-Improving Skills (historical reference; not published) -- Earlier Reflect design; not a current SpecWeave lifecycle guarantee
- Development Guidelines -- Design principles for skill authoring
- Verified Skills Standard -- How skills earn trust through 3-tier security certification
Version: 4.0.0 Authors: Anton Abyzov License: MIT