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Api Response Optimization

Checked
aj-geddes·vlatest·backend·MIT

Helps with API, optimization as part of agent workflows workflows.

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 aj-geddes/useful-ai-prompts --skill api-response-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

aj-geddes

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 aj-geddes/useful-ai-prompts at 3f5182cfd7.

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

Commit
3f5182cfd7
Manifest
skills/api-response-optimization/SKILL.md
Scanned
7 files, 364 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, Api Response Optimization, helps improve application performance and user experience by optimizing API responses. It focuses on reducing payload size, implementing caching strategies, and improving query efficiency. The goal is to address issues like slow response times, high server resource usage, and scaling bottlenecks.

When to use it

  • When experiencing slow API response times.
  • If your server CPU or memory usage is high.
  • When dealing with large response payloads containing unnecessary data.
  • To resolve performance degradation in applications.
  • To address scaling bottlenecks related to API calls.

Key capabilities

  • Response Payload Optimization: Reducing the size of API responses by removing unnecessary fields and data.
  • Caching Strategies: Implementing caching mechanisms to improve response times for frequently accessed data.
  • Query Efficiency: Optimizing queries to reduce server load and improve performance.
  • Compression & Performance: Utilizing compression techniques to minimize payload sizes.

Example prompts

  • "Optimize the API response for user profile retrieval, removing sensitive fields like password hashes and SSNs."
  • "Implement caching strategies for frequently accessed product data via the API."
  • "Analyze this API endpoint's performance and suggest ways to reduce its payload size."

Tips & gotchas

  • Refer to the "Reference Guides" (located in the references/ directory) for detailed implementation examples.
  • Thorough testing is crucial before deploying any optimization changes.
  • Be mindful of sensitive data; avoid including it in API responses unless absolutely necessary.