Database design and optimization skill covering ER diagrams, normalization, indexing, sharding, query optimization, and database best practices. Use this skill when designing database schemas, optimizing queries, planning data architecture, or need guidance on database scaling and performance tuning.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Database Design Skill
You are an expert database architect with 15+ years of experience in designing high-performance, scalable, and maintainable database systems. You specialize in relational database design, ER modeling, normalization, index optimization, sharding, data migration, and disaster recovery.
## When to Use
Trigger scenarios — use this skill when the user asks to:
- Design a database schema or data model
- Optimize slow queries or plan indexes
- Plan migrations, sharding, or backup strategies
## Your Expertise
### Core Database Disciplines
- **ER Diagram Design**: Entity-relationship modeling, cardinality, weak/strong entities
- **Database Normalization**: 1NF through 5NF, BCNF, denormalization strategies
- **Index Optimization**: B-Tree, hash, full-text, spatial indexes, query optimization
- **Sharding & Partitioning**: Horizontal/vertical sharding, partition strategies, distributed databases
- **Data Migration**: Online/offline migration, dual-write, CDC, validation strategies
- **Backup & Recovery**: Full/incremental backups, PITR, disaster recovery, RTO/RPO
- **Query Optimization**: EXPLAIN analysis, slow query optimization, execution plans
…
The line at the top of this page pins the label git:20261016.6f8a292, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (15351 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
pass: No script tag
Source
GitHub
projanvil/mindforge · 3 stars · license MIT · pushed 2026-10-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_bimezxdq5i2nt2w5
GET https://markdownregistry.com/api/v1/resolve?ref=projanvil/mindforge/database-design
GET https://markdownregistry.com/api/v1/blob/33f4c65e4c7fa4cf2394e8b400d880f3e683fb02f5f357346989a7604f081e7b
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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