一键导入
style-corpus
The offline LEARN phase of the style-replication loop. `learn <url|file>...` downloads each Group C exemplar short (yt-dlp, media into gitignored work/_style/<id>/), profiles it sidecar-free via profile-clip (vision ON), and stores the small JSON Style Profile in references/profiles/ (checked in); `distill` aggregates every profile into references/targets.json — per-field robust distribution targets (median + MAD-derived sigma, floored at 10% of the median) with each levered field carrying its code lever, so the style-gate can compare our span 0 against a DISTRIBUTION of good shorts instead of overfitting one exemplar; `show` prints the targets. Deterministic distill, non-fatal per exemplar, idempotent (profile-clip's .ppmeta makes re-learn a no-op on unchanged media).
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。