In this article
data-science-engineering-foundation
| Field | Value |
|---|---|
| Kind | skill |
| Source | .github/skills/data-science-engineering/data-science-engineering-foundation |
| Invocation | Loaded on demand by referencing agents |
| Interactive | No |
What it does
State, resume, reconstruction, job-lifecycle, transition, and flow-state mechanics for the Data Science and Engineering Coach. Loaded by the coach; not a user entry point.
When to use it
This internal skill is loaded by Data Science and Engineering Coach at initialization and resume. Its references govern job selection, lifecycle classes, confirmed transitions, YAML-in-Markdown session state, artifact-based reconstruction, and flow-preserving interruption gates.
Do not invoke it as a standalone data science and engineering workflow. Load data-catalog,
dataops, feasibility, experiment-design, or ml-experimentation
for job-specific methods and outputs.
Example usage
A coach resuming a project reads the session-state reference, validates project identity, restores a paused feasibility phase and active catalog context, then announces both before asking what to do next. If state is corrupt, the same reference requires an evidence summary and user confirmation before the state file is replaced or job work resumes.