计划执行与检查节点
executing-plans
按既定实施计划完成工作,保持过程检查和反馈。
task-execution-compute【效率与协作】Operate on Transformer Lab task creation, job launch queues, compute providers, logs, sweeps, interactive sessions, quota, storage probes, and multi-node execution.
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Use this sub-skill when a request concerns Transformer Lab tasks becoming jobs:
task.yaml, task imports, index.json, queueing, provider launch behavior,
job states, logs, sweeps, interactive sessions, quota, storage probes, or
multi-node SLURM/SkyPilot execution.
ClusterConfig, provider settings, provider-specific launch code, quota,
storage probes, or cloud/HPC/local provider behavior.../backend-api-services/SKILL.md.../frontend-web-app/SKILL.md.lab CLI command syntax, Textual job monitor behavior, SDK facade usage, and
user-facing CLI workflows belong in ../cli-sdk-workflows/SKILL.md.task.yaml is the editable
input; index.json is the flat canonical task/job metadata store.ClusterConfig as the provider-neutral launch contract. When adding a
field, keep schema parsing, launch request building, job-data persistence,
provider implementations, and UI/CLI callers in sync.WAITING; non-local jobs go through the remote
queue and provider launch worker.task-job-lifecycle sections on unified
creation modes, YAML fields, provider resolution, and file placement.task-job-lifecycle for launch flow, then
provider-reference for local/remote/provider-specific behavior.troubleshooting, then inspect job status,
job_data.launch_progress, and the correct log source for the provider.provider-reference and the difficult cases below.WAITING queue delay from LAUNCHING setup delay, avoid starting another
local job blindly, and know which local machine logs appear before setup,
during setup, and after the run command starts.ClusterConfig, job-data persistence, provider
implementations, and UI/CLI forms/tests without losing sweep, interactive,
or resume behavior.