Author runnable skill bodies via OpenAI-compatible codegen model
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.
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@@ -283,6 +283,26 @@ select {
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.node.event-node .evt-kind { text-transform: uppercase; color: var(--muted); font-size: 10px; }
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.node.event-node .skill-title { font-weight: 700; }
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.node.event-node.writing { border-left: 3px solid var(--warn); }
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.node.event-node.stub { border-left: 3px solid var(--muted); }
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.writing-badge {
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display: inline-block;
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margin-top: 8px;
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padding: 2px 8px;
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border: 1px solid var(--warn);
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border-radius: 10px;
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color: var(--warn);
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font-size: 10px;
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animation: writing-pulse 1.2s ease-in-out infinite;
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}
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@keyframes writing-pulse {
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0%, 100% { opacity: 1; }
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50% { opacity: 0.35; }
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}
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/* ---------- inspector / tree / status ---------- */
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.right { border-right: none; }
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