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Automate create_category via normal-mode generation of the decision model

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Denton Social
2026-09-23 20:45:28 -05:00
parent 147b6cba5f
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9 changed files with 307 additions and 18 deletions
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@@ -41,7 +41,7 @@ All decisions are SemIf calls: `{state, question, options[]}`. State is the curr
- Structure: categories → skills → actions. Top level listed at each level.
- Navigation is a chain of SemIf choices, one per level, descending until a leaf skill matches.
- Navigation offers a `create_category` suggestion at the category level and a `create_skill` suggestion at the leaf level. Both are stubs that log a suggestion event (state, query, SemIf output) to the trace — **opencode authors the skill** (its only role) and drops a skill manifest into the registry, deferred to v2. The new skill becomes a leaf immediately.
- Navigation offers a `create_category` suggestion at the category level and a `create_skill` suggestion at the leaf level. `create_category` is live: the decision model, driven in normal generation mode, authors a broad title + description, and the stub is persisted to the category registry and merged into the running tree. `create_skill` logs a suggestion event (state, query, SemIf output) to the trace — **opencode authors the skill** (its only role) and drops a skill manifest into the registry, deferred to v2. The new skill becomes a leaf immediately.
### Skill manifest
- name, category, description, allowed inputs, action list, cost budget, decision log reference.