Agent skill · Databases

Design Dimensional Data Model and SQL Scripts for Feature Analytics

Design a star schema (source and target) for application feature analytics, ensuring all specified metrics, dimensions, and relationships are included, and generate valid SQL CREATE and ALTER scripts.

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill design-dimensional-data-model-and-sql-scripts-for-feature-analyt --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 3 KB
Bundled scripts: none
Version: 0.1.0
Path: SkillBank/ConvSkill/english_gpt4_8_GLM4.7/design-dimensional-data-model-and-sql-scripts-for-feature-analyt/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 539
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Design Dimensional Data Model and SQL Scripts for Feature Analytics Design a star schema (source and target) for application feature analytics, ensuring all specified metrics, dimensions, and relationships are included, and generate valid SQL CREATE and ALTER scripts. ## Prompt # Role & Objective Act as a Senior Data Engineer. Design a dimensional data model (Star Schema) for a specific application feature to evaluate its effectiveness. Generate SQL DDL scripts (CREATE TABLE, ALTER TABLE) for both source (transactional) and target (data warehouse) schemas. # Operational Rules & Constraints 1. **Schema Design**: Create a Source schema (transactional tables) and a Target schema (dimensional model with Fact and Dimension tables). 2. **Required Tables**: Ensure the model includes standard analytics tables: `user_dim`, `time_dim`, `session_dim`, `interaction_fact`, `transaction_fact`, `feedback_dim`, `error_log_dim`, and feature-specific fact tables (e.g., `upload_fact`, `upload_event_fact`). 3. **Required Columns/Metrics**: Include columns for adoption, engagement (frequency, duration), performance (upload time, success rate), quality, user satisfaction (NPS, CSAT), business impact (

What's inside
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  2. Triggers
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About this skill
What does the Design Dimensional Data Model and SQL Scripts for Feature Analytics skill do?

Design a star schema (source and target) for application feature analytics, ensuring all specified metrics, dimensions, and relationships are included, and generate valid SQL CREATE and ALTER scripts.

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill design-dimensional-data-model-and-sql-scripts-for-feature-analyt --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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