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Claude Skills by evo-hq
github.com/evo-hq12 skills0 installs14 views
- DiscoverInitialize 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 optimization, or asks to start a new evo run on a project.Votes: 0GitHub stars: 1,461
- Infra SetupNon-user-invocable provider/setup reference for evo backend switching, prerequisite checks, and auth/install guidance.Votes: 0GitHub stars: 1,461
- OptimizeRun the evo optimization loop with parallel subagents until interrupted.Votes: 0GitHub stars: 1,461
- SubagentInternal protocol for evo optimization subagents. Not user-invocable -- read by subagents spawned from /optimize.Votes: 0GitHub stars: 1,461
- Rlm EvalRun the evo optimization loop with parallel subagents until interrupted.Votes: 0GitHub stars: 1,461
- ReportRead-only evo run reporting. Use when the user invokes /evo:report, asks what happened overnight, asks what improved recently, asks for the best/frontier candidates, asks for a quick score chart without opening the dashboard, or wants the scatter plot in chat output. Never run benchmarks, gates, Slurm commands, evo run, or ad-hoc verification scripts for report requests.Votes: 0GitHub stars: 1,461
- ShipLand 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. Distills the best-scoring experiment down to the minimal diff that reproduces its behaviour, shaped for the qualities a maintainer merges on (scope discipline, test integrity, style adherence), then attaches an advisory mergeability report. Use when the user invokes /evo:ship, asks to land/merge/ship the best result, or wants to turn a fini...Votes: 0GitHub stars: 1,461
- FinetuningThis 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 false-progress patterns. Provider recipes and I/O contract in references/.Votes: 0GitHub stars: 1,461
- DiscoverInitialize 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 optimization, or asks to start a new evo run on a project.Votes: 0GitHub stars: 1,461
- Infra SetupNon-user-invocable provider/setup reference for evo backend switching, prerequisite checks, and auth/install guidance.Votes: 0GitHub stars: 1,461
- OptimizeDrive 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 orchestrator plans and spawns optimization subagents; candidate edits/runs belong to those subagents. Width is set via subagents=N (1 for serial workloads, larger for parallel); the loop'...Votes: 0GitHub stars: 1,461
- SubagentProtocol that evo optimization subagents follow when dispatched from /optimize. Auto-loaded by spawned subagents via their host's skill loader. The orchestrator may also invoke this skill to understand the brief shape its dispatched subagents expect + what they're required to emit -- useful when writing briefs or debugging a subagent's behavior.Votes: 0GitHub stars: 1,461