Individual skill
babysit-runs
Operate unattended runs through completion, from a single detached pilot to a large batch. Instrument execution, inspect traces and output quality, recover failures, and improve demonstrated performance or reliability problems using the existing workflow and temporary monitoring. Use for supervised pilots, overnight runs and bounded autonomous optimization, not a one-time status check or concurrency advice alone.
babysit-runs/SKILL.md
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- Last checked
- Nov 11, 2026
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- Repository last updated
- Nov 9, 2026
- License
- MIT
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- operations Derived category
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# Babysit Runs
Operate existing runners toward the authorized outcome at the agreed quality. Prefer targeted repairs over a new scheduler or pipeline rewrite. Use the selected provider/runtime skill when invocation or access needs troubleshooting; use `live-ai-pipelines` only when recovery architecture needs implementation.
## Choose the operating mode
**Completion mode:** finish the authorized workload using the established implementation, repairing defects as needed.
**Pilot-and-improve mode:** exercise an existing or modified workflow on representative inputs, inspect execution and output quality, and make bounded improvements before broader rollout. State what is being tested, the quality baseline, resource/spending limits and the completion boundary. A pilot is complete when the requested behavior is demonstrated and material findings are resolved or clearly reported; optional optimization ideas do not keep it running indefinitely.
## Adopt, detach and schedule
Inspect actual processes, owners, logs and retained results. Adopt a matching live run rather than launch a duplicate. Discover routine facts from existing metadata and task history instead of re-interviewing the user.
