OBT Design Optimizer
Designs and optimizes One Big Table (OBT) patterns
npx skills add a5c-ai/babysitter --skill obt-design-optimizer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# OBT Design Optimizer ## Overview Designs and optimizes One Big Table (OBT) patterns. This skill balances denormalization benefits with maintainability for analytical use cases. ## Capabilities - Column selection optimization - Denormalization strategy - Nested/repeated field design (BigQuery) - Clustering key selection - Partition strategy - Update frequency optimization - Query pattern analysis - Storage vs. performance tradeoffs ## Input Schema ```json { "sourceModels": ["object"], "queryPatterns": ["object"], "platform": "snowflake|bigquery|redshift", "constraints": { "maxColumns": "number", "refreshFrequency": "string" } } ``` ## Output Schema ```json { "obtDesign": { "columns": ["object"], "clustering": ["string"], "partitioning": "object" }, "buildStrategy": "object", "refreshConfig": "object", "estimatedQueryImprovement": "percentage" } ``` ## Target Processes - OBT Creation - BI Dashboard Development - Query Optimization ## Usage Guidelines 1. Analyze source models and relationships 2. Document common query patterns 3. Define platform and constraints 4. Balance column count with query needs ## Best Practices - Include only columns needed for known query patterns - Use app
- Overview
- Capabilities
- Input Schema
- Output Schema
- Target Processes
- Usage Guidelines
- Best Practices
What does the OBT Design Optimizer skill do?
Designs and optimizes One Big Table (OBT) patterns
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill obt-design-optimizer --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 a5c-ai/babysitter, a repository with 1,642 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.