data-lifecycle

name	data-lifecycle
description	Umbrella skill for running a data project end-to-end through its lifecycle stages — discover sources → profile the data → architect the platform → build the medallion pipeline → refactor the code. Use this whenever the user is kicking off a new data project, asks "where do I start" or "what are the steps", or is somewhere mid-lifecycle and unsure which stage skill applies. This skill ROUTES to the stage sub-skills (data-sourcing, data-profiling, data-architecture, medallion-design, notebook-refactor) and sequences them, pulling in the right one for the user's current stage.
origin	grouped

Data Project Lifecycle (Router)

This is a router skill covering a data project from "we have an objective" to "the code is clean." Figure out which stage the user is in, then invoke the matching stage skill with the Skill tool. A greenfield project runs the stages in order; a mid-flight project jumps to its stage.

The lifecycle

Stage	Question it answers	Invoke sub-skill
1. Discover	What data do I need and where do I get it?	data-sourcing
2. Profile	What does the data actually look like? (checks + ER)	data-profiling
3. Architect	How should the whole platform be structured, on what infra, at what cost?	data-architecture
4. Build	Design the bronze/silver/gold pipeline, gold-first	medallion-design