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Agentdb Performance Optimization

Checked
microck·vlatest·testing

Helps with performance optimization, optimization as part of building frontend UIs and user experiences workflows.

Install on your platform

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

Installs under a different name. Its SKILL.md names it AgentDB Performance Optimization, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add microck/ordinary-claude-skills --skill "AgentDB Performance Optimization" -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

microck

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

    Only contacts known or declared hosts: github.com.

    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.

    Hosts contacted

    github.comsource host
  • 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 microck/ordinary-claude-skills at 1056d293d4.

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

Scanned
2 files, 468 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 optimizes the performance of AgentDB, a database used to store and manage AI agent data. It focuses on improving query speeds and reducing resource consumption by analyzing database structure and suggesting improvements. The skill can identify inefficient queries and propose indexing strategies or schema modifications for better overall performance.

When to use it

  • Slow AgentDB Queries: When user interactions with your agent are slow due to lengthy database queries.
  • High Resource Consumption: If AgentDB is consuming excessive CPU or memory resources.
  • Scaling Challenges: As the amount of data stored in AgentDB grows, this skill can help maintain performance and prevent bottlenecks.
  • Database Maintenance: As part of a regular maintenance routine to proactively identify and address potential performance issues.

Key capabilities

  • Query analysis and optimization suggestions
  • Indexing strategy recommendations
  • Schema modification proposals
  • Resource consumption monitoring

Example prompts

  • "Analyze AgentDB query performance and suggest optimizations."
  • "Identify slow queries in AgentDB related to user activity logs."
  • "Recommend indexing strategies for the 'agent_sessions' table in AgentDB."

Tips & gotchas

The skill requires read access to your AgentDB instance. Be sure to review any proposed schema modifications carefully before implementing them, as changes can impact existing agent workflows.