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Select the most appropriate pipeline for a user goal, lock it in `PIPELINE.lock.md`, and route checkpoint questions into `DECISIONS.md`. **Trigger**: pipeline router, choose pipeline, workflow selection, PIPELINE.lock.md, 选择流程. **Use when**: 用户目标/交付物不清晰,需要在 snapshot/survey/tutorial/systematic-review/peer-review 中选一个并设置最小 HITL 问题集。 **Skip if**: pipeline 已锁定(`PIPELINE.lock.md` 存在)且所需问题已回答/签字完成。 **Network**: none. **Guardrail**: 尽量一次性提问;信息不足就写 `DECISIONS.md` 并停下等待。
npx skill4agent add willoscar/research-units-pipeline-skills pipeline-routerPIPELINE.lock.mdDECISIONS.mdC0queries.mdGOAL.mdGOAL.mdSTATUS.mdDECISIONS.mdPIPELINE.lock.mdassets/pipeline-selection-form.mdPIPELINE.lock.mdDECISIONS.mdqueries.mdC0GOAL.mdSTATUS.mdpipelines/arxiv-survey.pipeline.mdpipelines/arxiv-survey-latex.pipeline.mdpipelines/tutorial.pipeline.mdpipelines/systematic-review.pipeline.mdpipelines/peer-review.pipeline.mdpipelines/lit-snapshot.pipeline.mdGOAL.mdassets/pipeline-selection-form.mdDECISIONS.mdpipelines/*.pipeline.mdPIPELINE.lock.mdpipeline: <path>units_template: <path from pipeline front matter>locked_at: <YYYY-MM-DD>STATUS.mdDECISIONS.mdpython .codex/skills/pipeline-router/scripts/run.py --workspace <ws> --checkpoint C0python .codex/skills/pipeline-router/scripts/run.py --workspace <ws> --checkpoint C2python .codex/skills/pipeline-router/scripts/run.py --workspace <ws> --checkpoint C1DECISIONS.mdC*Approve C*PIPELINE.lock.mdqueries.mdC0PIPELINE.lock.mdSTATUS.mdDECISIONS.mdqueries.md.codex/skills/python .codex/skills/pipeline-router/scripts/run.py --helppython .codex/skills/pipeline-router/scripts/run.py --workspace <workspace_dir> --checkpoint C0--checkpoint <C0|C1|C2|...>python .codex/skills/pipeline-router/scripts/run.py --workspace <ws> --checkpoint C0python .codex/skills/pipeline-router/scripts/run.py --workspace <ws> --checkpoint C1python .codex/skills/pipeline-router/scripts/run.py --workspace <ws> --checkpoint C2python scripts/pipeline.py kickoff|initPIPELINE.lock.mdC0PIPELINE.lock.mdPIPELINE.lock.mdUNITS.csvUNITS.csvpython scripts/pipeline.py init --workspace <ws> --pipeline <name> --overwrite-unitstemplates/UNITS.*.csvUNITS.csv