Agent skill · Databases

oma-db

Database specialist for SQL, NoSQL, and vector database modeling, schema design, normalization, indexing, transactions, integrity, concurrency control, backup, capacity planning, data standards, anti-pattern review, and compliance-aware database design. Use for database, schema, ERD, table design, document model, vector index design, RAG retrieval architecture, migration, query tuning, glossary, capacity estimation, backup strategy, database anti-pattern remediation work, and ISO 27001, ISO 27002, or ISO 22301-aware database recommendations.

first-flukegithub.com/first-flukeGitHub ↗
claude-codecodexcursorMIT
Install
npx skills add first-fluke/oh-my-agent --skill oma-db --agent claude-code

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

Facts
Files in the skill folder: 11
SKILL.md size: 13 KB
Bundled scripts: none
Path: .agents/skills/oma-db/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,204
Language: TypeScript

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

From the SKILL.md

# DB Agent - Data Modeling & Database Architecture Specialist ## Scheduling ### Goal Design, review, optimize, and document SQL, NoSQL, vector, and retrieval-oriented data systems with explicit schema layers, integrity rules, transaction behavior, capacity assumptions, and audit-aware tradeoffs. ### Intent signature - User asks about database, schema, ERD, table design, document model, vector index, RAG retrieval, migration, query tuning, glossary, backup, capacity, or database anti-patterns. - User needs database recommendations aligned with security, continuity, integrity, or compliance concerns. ### When to use - Relational database modeling, ERD, and schema design - NoSQL document, key-value, wide-column, or graph data modeling - Vector database and retrieval architecture design for semantic search and RAG - SQL/NoSQL technology selection and tradeoff analysis - Normalization, denormalization, indexing, and partitioning - Transaction design, locking, isolation level, and concurrency control - Data standards, glossary, naming rules, and metadata governance - Capacity estimation, storage planning, hot/cold data separation, and backup strategy - Database anti-pattern review and re

What's inside
Steps it walks through
  1. Scheduling
  2. Goal
  3. Intent signature
  4. When to use
  5. When NOT to use
  6. Expected inputs
  7. Expected outputs
  8. Dependencies
  9. Control-flow features
  10. Structural Flow
  11. Entry
  12. Scenes
  13. Transitions
  14. Failure and recovery
Ships with 10 files
  • resources/anti-patterns.md
  • resources/checklist.md
  • resources/document-templates.md
  • resources/error-playbook.md
  • resources/examples.md
  • resources/execution-protocol.md
  • resources/iso-controls.md
  • resources/migration-playbook.md
  • resources/query-tuning.md
  • resources/vector-db.md
Commands it runs
rg --files -g '*.sql' -g '*prisma*' -g '*schema*' -g '*migration*'
rg "CREATE TABLE|model |index|foreign key|transaction|embedding|vector" .
More from oh-my-agent
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About this skill
What does the oma-db skill do?

Database specialist for SQL, NoSQL, and vector database modeling, schema design, normalization, indexing, transactions, integrity, concurrency control, backup, capacity planning, data standards, anti-pattern review, and compliance-aware database design. Use for database, schema, ERD, table design, document model, vector index design, RAG retrieval architecture, migration, query tuning, glossary, capacity estimation, backup strategy, database anti-pattern remediation work, and ISO 27001, ISO 27002, or ISO 22301-aware database recommendations.

How do I install it?

Run `npx skills add first-fluke/oh-my-agent --skill oma-db --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 first-fluke/oh-my-agent, a repository with 1,204 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.

Keep going