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Database Indexing

Checked
1mangesh1·vlatest·database

Optimizes database query performance by automatically creating and refining indexes based on usage patterns.

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 1mangesh1/dev-skills-collection --skill database-indexing -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

1mangesh1

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 1mangesh1/dev-skills-collection at 23e297e5a4.

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

Commit
23e297e5a4
Manifest
skills/database-indexing/SKILL.md
Scanned
15 files, 988 lines
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

This skill enables AI agents to optimize database performance through the creation and management of indexes. It allows for identifying appropriate columns to index, generating the necessary SQL commands to create those indexes, and understanding the impact of indexing on query speed. The agent can also help analyze existing indexes for redundancy or inefficiency.

When to use it

  • Slow Query Performance: When queries against a database are taking an unacceptable amount of time.
  • Database Optimization: As part of a routine maintenance task to improve overall database efficiency.
  • New Database Schema Design: To proactively plan indexing strategies for new tables and columns.
  • Analyzing Existing Indexes: To identify unused or redundant indexes that can be removed.

Key capabilities

  • Index creation SQL generation
  • Column identification for indexing
  • Impact analysis of indexing on query speed
  • Redundancy detection in existing indexes

Example prompts

  • "Create an index on the user_id column of the orders table."
  • "Which columns should I index to improve performance of queries against the 'products' table?"
  • "Analyze my database schema and suggest redundant or unused indexes."

Tips & gotchas

The effectiveness of indexing depends heavily on the specific query patterns. Incorrectly applied indexes can sometimes decrease performance, so careful analysis is crucial.