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SkillsMP hat 6 Skills aus keli-wen/strop gesammelt. Öffne einen Skill, um Quelle und Details zu prüfen.
Es werden 6 von 6 gesammelten Skills angezeigt.
Closed-loop orchestrator — from a one-line brief straight through init → gold → freeze → check-loop → smoke-train → short train → report, in one command, at minimum cost. Infers everything inferable and compresses any remaining blocking questions into ONE…
Quellsprache: Englisch
Loop-engineering audit of one Strop task — is the training loop CLOSED (task↔harness contract, frozen gold, signed rubric, env, forward liveness, smoke-ability)? Read-only; verdict table + LOOP-READY / NOT READY. Use when the user types /strop-check-loop or…
Quellsprache: Englisch
Score one or more prediction files ("arms") against a Strop task's frozen gold with the fixed judge → a J-Score comparison table (the standalone eval / transfer entry, outside the training loop). Use when the user types /strop-eval or asks to "对比 J-Score /…
Quellsprache: Englisch
Launch the gold-generation pipeline for a Strop task (N independent strong-reference labeling passes + per-ticker reconcile → DRAFT gold + human review doc) as a background Workflow. Default (`sign=human`, or no flag) ALWAYS STOPS before freeze for human…
Quellsprache: Englisch
Bootstrap a NEW Strop task from a short brief. Infers everything inferable first (the brief text, any data samples already under tasks/<name>/data/, whether ./.env is configured, the shipped news-labeling task as a structural precedent) — a complete brief…
Quellsprache: Englisch
Launch one full Strop training run (forward → judge → optimize → dev-validate, N rounds → experiment report) as a background Workflow. Use when the user types /strop-train or asks to "train the skill/instruction", "跑一轮训练", "start the strop loop", "smoke train…
Quellsprache: Englisch