executing-plans
executing-plans
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
slime-preference-optimizationOptimize model preferences by decoupling preference learning from generation quality. Explicitly maximize chosen response likelihood while using token-level stabilization to prevent quality degradation from over-suppressing rejected responses.
Independent GitHub snapshot · Automated classification · Original documentation governs