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Database Expert

Checked
cin12211·vlatest·database·MIT

Analyzes, queries, and optimizes databases (SQL, NoSQL) to extract insights and resolve data-related issues efficiently.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add cin12211/orca-q --skill database-expert -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

cin12211

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned cin12211/orca-q at 3142fe610b.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
3142fe610b
Manifest
.agent/skills/database-expert/SKILL.md
Scanned
2 files, 618 lines
Copies in repo
2 — all of them scanned
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The Database Expert skill helps AI agents analyze, query, and optimize databases (both SQL and NoSQL) to extract insights and resolve data-related issues efficiently. It specializes in performance optimization, schema design, query analysis, and connection management across various database systems and ORMs. Before proceeding, the skill assesses whether a more specialized expert like postgres-expert, mongodb-expert, redis-expert, prisma-expert or typeorm-expert would be more appropriate for the specific task.

When to use it

  • Troubleshooting slow query performance in PostgreSQL, MySQL, MongoDB, or SQLite databases.
  • Analyzing database schema design and identifying potential issues like foreign key constraint violations or migration timeouts.
  • Optimizing ORM usage (Prisma, TypeORM, Sequelize, Mongoose) for improved data access patterns.
  • Diagnosing application timeouts related to database operations.
  • Understanding EXPLAIN output to identify sequential scans or other performance bottlenecks.
  • Investigating high CPU usage during database queries.

Key capabilities

  • Sub-Expert Routing: Automatically assesses if a specialized expert (e.g., postgres-expert) is more appropriate for the task.
  • Environment Detection: Identifies the database environment based on connection strings, configuration files, package dependencies and default ports.
  • ORM/Query Builder Detection: Recognizes usage of Prisma, TypeORM, Sequelize, or Mongoose.
  • Problem Category Analysis: Categorizes issues into Query Performance & Optimization, Schema Design & Migrations, and other areas.
  • Diagnostic Commands: Provides specific diagnostic commands for PostgreSQL (e.g., EXPLAIN (ANALYZE , BUFFERS)) and MySQL (e.g., EXPLAIN FORMAT = JSON).
  • Progressive Fixes: Suggests minimal, better, and complete solutions to address identified problems.

Example prompts

  • "My PostgreSQL query is taking a long time. Can you help me optimize it?"
  • "I'm seeing 'Using filesort' in my MySQL EXPLAIN output. What does that mean and how can I fix it?"
  • "How do I check for foreign key constraints in my PostgreSQL database?"
  • “Analyze this Prisma schema and suggest improvements.”

Tips & gotchas

  • The skill will initially assess if a more specialized expert is needed before providing general database expertise.
  • Ensure the AI agent has access to relevant database connection strings, configuration files, or code snippets for accurate environment detection.
  • Be aware that this skill focuses on analysis and optimization; it may not directly execute changes within your database without further instructions.