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
hybrid-reinforcement-learningCombine sparse verifier rewards with dense reward model scores using stratified normalization to overcome limitations of either approach alone.
Independent GitHub snapshot · Automated classification · Original documentation governs