9 tagged code optimization, measured the same way as everything else here.
Browse within: Autonomous Agents 8autoresearch 8
Skill Claude CodeCodex
Initialize 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. Use when the user invokes /evo:discover, mentions setting up evo, wants to instrument a codebase for autonomous…
Skill Claude CodeCodex
Drive structured autoresearch iteration after evo:discover and the baseline commit. Use when the user invokes /evo:optimize or asks to try ideas, try variants, run experiments, use available GPUs, improve the current best/frontier, continue an evo search, or compare candidate changes in an evo workspace. The…
Skill Claude CodeCodex
This 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. Decision tree by reward shape, smoke-run gate, three failure diagnostics, five…
TheGreenCedar/codex-autoresearch
Skill Claude CodeCodex
Triage improvement work and run or resume accepted measured loops in a local project. Architecture, documentation, UX, product study, open research, taste, and one-shot fixes stay direct unless the user explicitly requests repeated measurement with a complete experiment contract.
Skill Claude CodeCodex
Use this skill whenever asked to join an autoevolve run, evolve code toward a measured target, work an evolution population, mutate a candidate under EVOLVE-BLOCK rules, or report measured autoevolve progress and artifacts.