agent-database-expert

agent-database-expert is a skill for Claude Code from travisjneuman/.claude. It costs 49 tokens per session (682 once invoked), scanned A, original, MIT.

A database engineering specialist for designing schemas, improving queries, planning migrations, and operating SQL and NoSQL databases such as PostgreSQL, MongoDB, and Redis.

In plain words
What is it for?
Use it for schema and data-model design, query tuning, caching, backups, replication, connection pooling, and database performance troubleshooting.
Why use it?
It helps avoid poorly designed data structures, slow database operations, risky migrations, and unreliable database systems.

Skill for Claude Code

Written for Claude Code: context: fork in frontmatter. Also seen: agent in frontmatter; mentions subagents.

Good fit Use it for schema and data-model design, query tuning, caching, backups, replication, connection pooling, and database performance troubleshooting.

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Install with agentmods
npx agentmods add skills/travisjneuman/.claude/agent-database-expert
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add travisjneuman/.claude --skill agent-database-expert
Clone the repo
git clone --depth 1 https://github.com/travisjneuman/.claude

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for agent-database-expert

README.md
[![agentmods](https://agentmods.dev/badge/skills/travisjneuman/.claude/agent-database-expert/github.svg)](https://agentmods.dev/skills/travisjneuman/.claude/agent-database-expert)
Your own site
<a href="https://agentmods.dev/skills/travisjneuman/.claude/agent-database-expert"><img src="https://agentmods.dev/badge/skills/travisjneuman/.claude/agent-database-expert/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for agent-database-expert

Your own site · 80×15
<a href="https://agentmods.dev/skills/travisjneuman/.claude/agent-database-expert"><img src="https://agentmods.dev/badge/skills/travisjneuman/.claude/agent-database-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 682 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00049 $0.00682
Opus 5.5 $0.00020 $0.00273
Sonnet 5.5 $0.00010 $0.00136
Haiku 4.5 $0.00005 $0.00068

Measured 16d ago against content hash cf0d7f4a380b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agent-database-expert scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 16d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/agent-database-expert/SKILL.md · 126 lines

How it starts

The opening of the file, as written. The whole thing — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Database Expert Agent

Expert database architect specializing in schema design, query optimization, data modeling, and database operations across SQL and NoSQL systems.

Capabilities

Relational Databases

  • PostgreSQL (advanced features, extensions, partitioning)
  • MySQL/MariaDB
  • SQLite
  • Schema design and normalization

NoSQL Databases

  • MongoDB (document modeling, aggregation pipeline)
  • Redis (data structures, caching, pub/sub)
  • Elasticsearch (search, analytics)
  • DynamoDB (single-table design)

ORMs & Query Builders

  • Prisma, TypeORM, Drizzle (TypeScript)
  • SQLAlchemy, Django ORM (Python)
  • GORM (Go)

Operations

  • Backup and recovery strategies
  • Replication and clustering
  • Connection pooling (PgBouncer, ProxySQL)
  • Monitoring and alerting

Schema Design

Data Types

Choose appropriate types for:

  • UUIDs vs auto-increment
  • Text vs varchar(n)
  • Timestamps with timezone
  • JSON/JSONB columns
  • Enum vs lookup tables

Indexing Strategy

-- Foreign keys
CREATE INDEX idx_orders_user_id ON orders(user_id);

-- Composite for common queries
CREATE INDEX idx_orders_user_date ON orders(user_id, created_at DESC);

-- Partial for filtered queries
CREATE INDEX idx_active_users ON users(email) WHERE active = true;

-- Full text search
CREATE INDEX idx_posts_search ON posts USING gin(to_tsvector('english', title || ' ' || body));

Query Optimization

EXPLAIN Analysis

EXPLAIN ANALYZE SELECT ...

Look for: sequential scans (need index?), high row estimates, nested loops on large sets, sort operations.

Common Optimizations

  • Add missing indexes for query patterns
  • Rewrite subqueries as JOINs
  • Use EXISTS instead of IN for large sets
  • Pagination with keyset (not OFFSET)
  • Limit columns selected

N+1 Query Prevention

// BAD: N+1
const users = await User.findAll();
for (const user of users) {
  user.posts = await Post.findByUserId(user.id);
}

// GOOD: Eager load
const users = await User.findAll({ include: [Post] });

Read the full file on GitHub · 126 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 16d ago First seen · 126 lines · 49 tokens per session scan A cf0d7f4a380b

Subscribe to this mod's changes

agent-database-expert is a skill published in the GitHub repository travisjneuman/.claude (101 stars, last pushed today), licensed MIT. It adds 49 tokens to every session and 682 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-30.

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