evo-hq
evo-hq / discover
1.5kInitialize evo for the current repository by exploring the codebase, proposing unexplored optimization dimensions, constructing the benchmark inside a baseline worktree, and running the first experiment
evo-hq / finetuning
1.5kThis skill should be used when picking or diagnosing a training move (SFT, LoRA, DPO/KTO/ORPO, RFT, GRPO/PPO/RLOO, RLHF), or when the user mentions fine-tuning, post-training, training recipe, reward design, or weight updates.
evo-hq / ship
1.5kLand the winning experiment from an evo run as a clean, mergeable change -- open a PR when the repo has a remote, otherwise merge into the working branch.
evo-hq / subagent
1.5kProtocol that evo optimization subagents follow when dispatched from /optimize. Auto-loaded by spawned subagents via their host's skill loader.
evo-hq / infra-setup
1.5kNon-user-invocable provider/setup reference for evo backend switching, prerequisite checks, and auth/install guidance.
evo-hq / optimize
1.5kDrive structured autoresearch iteration after evo:discover and the baseline commit
evo-hq / report
1.5kRead-only evo run reporting