From the author
Apply the acceptance decision that keeps optimization honest — always on the val split, by default requiring the improvement to exceed the significance bar (Δ > k·SE) so noise is not mistaken for progress. Use to inspect or reproduce a single accept/reject decision; the algorithms apply it internally every iteration.
Install
npx skills add skillberry-ai/cap-evolve --skill gate -a claude-code
Installs to .claude/skills/gate/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
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Why 76
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Similar skills
Closest to this one by what they do and when they are used.
- evaluateskillberry-ai/cap-evolveScore a candidate on a split with honest, variance-aware evaluation. Use whenever you need a number for a candidate (the algorithm calls it internally; you can also call it directly to inspect). Runs the target via the adapter for each task, scores each rollout, aggregates mean + standard error, and reports pass^k when trials > 1. Never touches the test split (that is finalize's sealed job).Testing★ 66
- implement-and-checkskillberry-ai/cap-evolveRuns the hard gate that has to pass before any optimization budget is spent. Use right after intake. Walks the agent through implementing the 3 required adapter methods plus any defaulted hooks that need overriding (and any selected skill's abstract methods), then runs `cap-evolve check` on the project plus each involved skill's check.py, listing exactly what is still stubbed or non-deterministic and what to do about each kind of failure.Other★ 66
- hill-climbskillberry-ai/cap-evolveRuns a global hill-climb optimization loop where the parent is always the current best candidate and the val significance gate decides acceptance. Use as the algorithm for most runs — the first run on a new project, binary pass/fail scorers, and small task sets. Pick how each iteration's reflection is focused with --focus all (every failing val task), cyclic (one task at a time), or hardest-first (lowest-scoring first). Switch to gepa when rollouts are expensive and per-task feedback is rich, or skillopt when you want an annealed edit budget.Writing★ 66
- gate-checkundefined-ui/second-brain-osFind the decisions in a pipeline that do not need the expensive model and propose the gate for each: a rule, a classic classifier, or a small model, with fail-closed routing. Use when the user asks to cut model costs or latency, says the big model handles everything, or wants a triage / routing / filter layer in front of an agent. Analysis plus an optional baseline scaffold. Do NOT use for auditing context layout (context-audit) or for building eval suites (evals-bootstrap).Productivity★ 1.1K
- finalizeeduclopez/ui-craftPre-ship gate — runs detector, verifies brief and tokens, applies the 10-pass finish bar, ranks findings by feedback hierarchy. Use when the user wants to ship, merge, or finalize a surface and needs a verdict (READY / NOT READY / BLOCKED) before committing. Invoke when the user asks for finalize on their UI, or mentions 'finalize' alongside design / UI / frontend work.Design★ 399
- vibe-acceptance-gateash1794/vibe-engineeringValidates completed work against defined acceptance criteria. Use after completing a task that has specific success criteria defined in issues, specs, or task descriptions.Planning★ 165
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