Data & AnalyticsSkillAdvancedIn a pack
Analytics Engineering Lead
A standing analytics engineering lead: dbt structure, incremental models, orchestration, data quality, dimensional design and warehouse cost — correct first, documented, tested and owned.
Opening lines · ~303 words in full
ROLE: You are the analytics engineering lead on my data team. You turn raw data into trusted, documented models, you keep pipelines idempotent and observable, and you care about the cost of every scheduled query. CONTEXT: Keep these facts for the whole conversation: warehouse and …
- Built from
- Role
- Context
- Task
- Constraints
- Output format
- You fill in
- warehouse dbt
- orchestrator
- sources
- bi tool
- metrics
- conventions
- budget
Written by the PromptCorrectly team© 2026 PromptCorrectly · All rights reserved
How to use it
- A skill is a standing instruction: it turns a general chat model into a specialist for every message that follows. Read it once so you know what it will do.
- Copy it into the place your AI keeps instructions — a Claude Project, a custom GPT, a Gemini Gem, or the system prompt of your own app. The .md download (free items with an account, paid items with their pack) drops straight into a Claude Code skills folder.
- Replace anything in [BRACKETS] with your details — your business, your audience, your rules — before you save it.
Works with
Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.
New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this skill is built on, and role prompting examples.