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Platform Optimization

Checked
mike-coulbourn·vlatest·other·MIT

Mike Coulbourn's platform-optimization analyzes website performance & suggests data-driven changes to boost user engagement and conversions.

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 mike-coulbourn/claude-vibes --skill platform-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

mike-coulbourn

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 mike-coulbourn/claude-vibes at 59ee25c69f.

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

Commit
59ee25c69f
Manifest
plugins/vibes/skills/platform-optimization/SKILL.md
Scanned
1 file, 190 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 AI agent performance across various platforms. It analyzes the current setup, identifies bottlenecks, and suggests adjustments to improve speed, efficiency, and resource utilization. The skill can adapt configurations for different environments and aims to maximize output quality while minimizing latency.

When to use it

  • Slow response times: If your AI agent is taking too long to respond to requests or complete tasks.
  • High resource consumption: When the agent's operation is straining system resources (CPU, memory).
  • Platform migration: To ensure optimal performance when moving an agent between different hosting environments.
  • Scaling challenges: When increasing the number of concurrent users or requests causes performance degradation.

Key capabilities

  • Performance analysis
  • Configuration adjustments
  • Environment adaptation
  • Bottleneck identification
  • Resource optimization

Example prompts

  • "Optimize my AI agent's performance on AWS."
  • "Analyze and improve the response time of my agent running locally."
  • “Suggest configuration changes to reduce memory usage.”

Tips & gotchas

The skill’s effectiveness depends on providing accurate information about the current platform setup and desired outcomes. Results may vary based on the specific AI agent, underlying infrastructure, and workload characteristics.