qwen38-iq3s reasons extensively before emitting the skill body. A max_tokens
cap truncated the hidden reasoning (finish_reason: length) leaving content
empty, so the body write failed with 'skill body is empty'. Omit max_tokens
so the model runs to completion (~7 min); reasoning is filtered automatically
since only content is read. Client timeout default raised to 1200s.
create_skill now writes a real predict/act body: the small decision model
still authors title + description (engine.generate), then a larger
OpenAI-compatible model (default qwen38-iq3s) writes the runnable code
against the SKILL.md contract. Bodies persist to data/skills/<cat>/<name>.py,
are hot-loaded via importlib, merged into the running tree, and the request
re-dispatches to the new leaf. The dashboard decision-flow view shows the
title/description with a writing badge while the body is being written.
Codegen failure degrades to a navigable stub.
Navigation now offers create_category at the category level and create_skill
at the leaf. Both are stubs that log a suggestion event (state, question,
SemIf output) to the trace instead of returning an authoring sentinel.
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