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- AgentHub: 13 files updated with non-engineering examples (content drafts, research, strategy) — engineering stays primary, cross-domain secondary - AgentHub: 7 slash commands, 5 Python scripts, 3 references, 1 agent, dry_run.py validation (57 checks) - Marketplace: agenthub entry added with cross-domain keywords, engineering POWERFUL updated (25→30), product (12→13), counts synced across all configs - SEO: generate-docs.py now produces keyword-rich <title> tags and meta descriptions using SKILL.md frontmatter — "Claude Code Skills" in site_name propagates to all 276 HTML pages - SEO: per-domain title suffixes (Agent Skill for Codex & OpenClaw, etc.), slug-as-title cleanup, domain label stripping from titles - Broken links: 141→0 warnings — new rewrite_skill_internal_links() converts references/, scripts/, assets/ links to GitHub source URLs; skills/index.md phantom slugs fixed (6 marketing, 7 RA/QM) - Counts synced: 204 skills, 266 tools, 382 refs, 16 agents, 17 commands, 21 plugins — consistent across CLAUDE.md, README.md, docs/index.md, marketplace.json, getting-started.md, mkdocs.yml - Platform sync: Codex 163 skills, Gemini 246 items, OpenClaw compatible Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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title, description
| title | description |
|---|---|
| Database Designer - POWERFUL Tier Skill — Agent Skill for Codex & OpenClaw | Database Designer - POWERFUL Tier Skill. Agent skill for Claude Code, Codex CLI, Gemini CLI, OpenClaw. |
Database Designer - POWERFUL Tier Skill
claude /plugin install engineering-advanced-skills
Overview
A comprehensive database design skill that provides expert-level analysis, optimization, and migration capabilities for modern database systems. This skill combines theoretical principles with practical tools to help architects and developers create scalable, performant, and maintainable database schemas.
Core Competencies
Schema Design & Analysis
- Normalization Analysis: Automated detection of normalization levels (1NF through BCNF)
- Denormalization Strategy: Smart recommendations for performance optimization
- Data Type Optimization: Identification of inappropriate types and size issues
- Constraint Analysis: Missing foreign keys, unique constraints, and null checks
- Naming Convention Validation: Consistent table and column naming patterns
- ERD Generation: Automatic Mermaid diagram creation from DDL
Index Optimization
- Index Gap Analysis: Identification of missing indexes on foreign keys and query patterns
- Composite Index Strategy: Optimal column ordering for multi-column indexes
- Index Redundancy Detection: Elimination of overlapping and unused indexes
- Performance Impact Modeling: Selectivity estimation and query cost analysis
- Index Type Selection: B-tree, hash, partial, covering, and specialized indexes
Migration Management
- Zero-Downtime Migrations: Expand-contract pattern implementation
- Schema Evolution: Safe column additions, deletions, and type changes
- Data Migration Scripts: Automated data transformation and validation
- Rollback Strategy: Complete reversal capabilities with validation
- Execution Planning: Ordered migration steps with dependency resolution
Database Design Principles
→ See references/database-design-reference.md for details
Best Practices
Schema Design
- Use meaningful names: Clear, consistent naming conventions
- Choose appropriate data types: Right-sized columns for storage efficiency
- Define proper constraints: Foreign keys, check constraints, unique indexes
- Consider future growth: Plan for scale from the beginning
- Document relationships: Clear foreign key relationships and business rules
Performance Optimization
- Index strategically: Cover common query patterns without over-indexing
- Monitor query performance: Regular analysis of slow queries
- Partition large tables: Improve query performance and maintenance
- Use appropriate isolation levels: Balance consistency with performance
- Implement connection pooling: Efficient resource utilization
Security Considerations
- Principle of least privilege: Grant minimal necessary permissions
- Encrypt sensitive data: At rest and in transit
- Audit access patterns: Monitor and log database access
- Validate inputs: Prevent SQL injection attacks
- Regular security updates: Keep database software current
Conclusion
Effective database design requires balancing multiple competing concerns: performance, scalability, maintainability, and business requirements. This skill provides the tools and knowledge to make informed decisions throughout the database lifecycle, from initial schema design through production optimization and evolution.
The included tools automate common analysis and optimization tasks, while the comprehensive guides provide the theoretical foundation for making sound architectural decisions. Whether building a new system or optimizing an existing one, these resources provide expert-level guidance for creating robust, scalable database solutions.