discover
Initialize evo for the current repository by exploring the codebase, proposing unexplored optimization dimensions, constructing the benchmark inside a baseline…
Land 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
$ npx -y skills add evo-hq/evo --skill ship --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/shipContext preview
The summary Claude sees to decide when to auto-load this skill.
Land 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
name: ship description: Land 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 finished optimization into a pull request. evo_version: 0.8.0
Turn a finished evo run into a change a maintainer would merge.
The optimize loop leaves a tree of committed experiments. The winning worktree diff is not mergeable as-is: it carries debug prints, search-process churn, over-broad edits, and sometimes a test that was relaxed to clear a gate. Shipping is the step that re-derives the *minimal clean change* reproducing the winning behaviour, lands it the way the repo expects (PR or merge), and reports how mergeable it is.
Correctness is the floor, not the goal. The score says the behaviour works; this skill decides whether the *diff* is fit to merge.
/evo:ship # ship the auto-selected winner /evo:ship exp_0042 # ship a specific experiment instead
Pick the experiment to ship, then confirm it with the user before touching their tree.
evo status # current best valid score + counts evo report # top valid experiments table + score chart
not the frontier. `evo frontier` is for choosing where to branch next; it can exclude an exhausted branch whose score is still the right thing to ship. An explicit `exp_id` argument overrides auto-selection.
`prune_kind=exhausted`, with a commit and score, no `gate_result === false`, and no invalid-pruned ancestor. Never select `discarded`, `failed`, `active`, `evaluated`, legacy-pruned nodes with no `prune_kind`, `prune_kind=invalid`, or descendants of invalid-pruned nodes. If no valid candidate exists, stop and report why nothing is safe to ship.
evo diff <root_id> <winner_id> # target-scoped cumulative diff, baseline -> winner
For changes outside the benchmark target, diff the commits directly (`git diff <baseline_commit> <winner_commit>`); each node carries `.commit`.
the winning hypothesis, and a diffstat. Get a go before proceeding.
Work on a fresh branch off the user's current HEAD, not in the experiment worktree. Re-derive the change so it stands on its own:
experiment scaffolding, debug logging, commented-out attempts, and churn the search introduced and then abandoned. Smaller, local diffs merge; sprawl does not.
a gate, restore it. New behaviour that changes outputs needs a test that covers it. Never ship a green benchmark that rode on a loosened test -- call it out instead.
whitespace, no reordered imports unless the repo does that.
The diff should read like the file it lands in.
Then confirm the behaviour survived the distillation:
evo run <winner_id> --check # or the project's benchmark / test command
If the distilled change no longer reproduces the winning score, do not paper over it -- report the gap (which part of the experiment diff was load-bearing) and let the user decide. Best-effort means honest about what could not be cleaned up, not silently shipping the raw worktree.
Detect how the repo expects changes to arrive:
git remote -v
branch, push, and `gh pr create` with the mergeability report (Stage 4) as the body. Do not push or open the PR without the user's go.
single clean commit. Do not force, do not rewrite existing history.
The landed commit message carries provenance: the winning experiment id, the score delta, and the one-line hypothesis. State what changed and why it is safe; do not narrate the search process.
Always produce the report. It never blocks the merge -- it tells the user, and a future reviewer, how mergeable the change is across the axes a maintainer judges on:
concretely (the algorithm, data structure, or mechanism), not the search story. Distilled from the winning hypothesis: "replaced the O(n^2) dedup with a hash set", not "exp_0042 improved throughput". This is what a reviewer reads first.
status after distillation.
weakened, or removed, with detail; whether new behaviour is covered.
Lead with a plain-language summary: what changed and why it is safe to merge. On a remote repo this is the PR body. With no remote, pri
Get started with autoresearch on any codebase - with two simple commands. Do you want to do more with autoresearch or need a custom, hands-on deployment? Request access to evo platform or email hello@evo-hq.com.
Initialize evo for the current repository by exploring the codebase, proposing unexplored optimization dimensions, constructing the benchmark inside a baseline…
Non-user-invocable provider/setup reference for evo backend switching, prerequisite checks, and auth/install guidance.
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,…
Read-only evo run reporting. Use when the user invokes /evo:report, asks what happened overnight, asks what improved recently, asks for the best/frontier…
Protocol that evo optimization subagents follow when dispatched from /optimize. Auto-loaded by spawned subagents via their host's skill loader. The…
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…