- 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>
78 lines
4.3 KiB
Markdown
78 lines
4.3 KiB
Markdown
---
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title: "Database Designer - POWERFUL Tier Skill — Agent Skill for Codex & OpenClaw"
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description: "Database Designer - POWERFUL Tier Skill. Agent skill for Claude Code, Codex CLI, Gemini CLI, OpenClaw."
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---
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# Database Designer - POWERFUL Tier Skill
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<div class="page-meta" markdown>
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<span class="meta-badge">:material-rocket-launch: Engineering - POWERFUL</span>
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<span class="meta-badge">:material-identifier: `database-designer`</span>
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<span class="meta-badge">:material-github: <a href="https://github.com/alirezarezvani/claude-skills/tree/main/engineering/database-designer/SKILL.md">Source</a></span>
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</div>
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<div class="install-banner" markdown>
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<span class="install-label">Install:</span> <code>claude /plugin install engineering-advanced-skills</code>
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</div>
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## Overview
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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.
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## Core Competencies
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### Schema Design & Analysis
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- **Normalization Analysis**: Automated detection of normalization levels (1NF through BCNF)
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- **Denormalization Strategy**: Smart recommendations for performance optimization
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- **Data Type Optimization**: Identification of inappropriate types and size issues
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- **Constraint Analysis**: Missing foreign keys, unique constraints, and null checks
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- **Naming Convention Validation**: Consistent table and column naming patterns
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- **ERD Generation**: Automatic Mermaid diagram creation from DDL
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### Index Optimization
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- **Index Gap Analysis**: Identification of missing indexes on foreign keys and query patterns
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- **Composite Index Strategy**: Optimal column ordering for multi-column indexes
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- **Index Redundancy Detection**: Elimination of overlapping and unused indexes
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- **Performance Impact Modeling**: Selectivity estimation and query cost analysis
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- **Index Type Selection**: B-tree, hash, partial, covering, and specialized indexes
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### Migration Management
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- **Zero-Downtime Migrations**: Expand-contract pattern implementation
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- **Schema Evolution**: Safe column additions, deletions, and type changes
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- **Data Migration Scripts**: Automated data transformation and validation
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- **Rollback Strategy**: Complete reversal capabilities with validation
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- **Execution Planning**: Ordered migration steps with dependency resolution
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## Database Design Principles
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→ See references/database-design-reference.md for details
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## Best Practices
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### Schema Design
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1. **Use meaningful names**: Clear, consistent naming conventions
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2. **Choose appropriate data types**: Right-sized columns for storage efficiency
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3. **Define proper constraints**: Foreign keys, check constraints, unique indexes
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4. **Consider future growth**: Plan for scale from the beginning
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5. **Document relationships**: Clear foreign key relationships and business rules
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### Performance Optimization
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1. **Index strategically**: Cover common query patterns without over-indexing
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2. **Monitor query performance**: Regular analysis of slow queries
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3. **Partition large tables**: Improve query performance and maintenance
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4. **Use appropriate isolation levels**: Balance consistency with performance
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5. **Implement connection pooling**: Efficient resource utilization
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### Security Considerations
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1. **Principle of least privilege**: Grant minimal necessary permissions
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2. **Encrypt sensitive data**: At rest and in transit
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3. **Audit access patterns**: Monitor and log database access
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4. **Validate inputs**: Prevent SQL injection attacks
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5. **Regular security updates**: Keep database software current
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## Conclusion
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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.
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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.
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