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Api Response Optimization

Checked
secondsky·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 secondsky/claude-skills --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

secondsky

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 secondsky/claude-skills at 8837836131.

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

Commit
8837836131
Manifest
plugins/api-response-optimization/skills/api-response-optimization/SKILL.md
Scanned
1 file, 74 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 AI agents reduce API payload sizes and improve response times through techniques like caching and compression. It enables agents to implement sparse fieldsets (allowing clients to specify which fields are returned), add HTTP caching headers (like ETag), and utilize response compression (such as gzip). The goal is to achieve performance targets such as reducing response time, payload size, and server CPU usage.

When to use it

  • When API responses are slow or consume excessive bandwidth.
  • When clients only need a subset of data from an API endpoint.
  • To improve the overall efficiency and scalability of API-driven workflows.
  • When optimizing for mobile devices or low-bandwidth connections.

Key capabilities

  • Sparse Fieldsets: Allows clients to request specific fields in responses (e.g., /users?fields=id,name,email).
  • HTTP Caching Headers: Implements ETag and Cache-Control headers for caching API responses.
  • Response Compression: Enables gzip compression to reduce payload sizes.
  • Performance Target Optimization: Aims to improve response time (target <100ms), reduce payload size (<50KB), and lower server CPU usage (<30%).

Example prompts

  • "Optimize the API endpoint for retrieving user data, allowing clients to specify which fields they need."
  • "Implement caching headers on the product details API to improve response times."
  • "Enable gzip compression for all API responses larger than 1KB."

Tips & gotchas

  • Profiling is Key: Profile your APIs before implementing optimizations to identify bottlenecks.
  • Cache Invalidation: Ensure cache invalidation occurs when data changes to avoid serving stale information.
  • Compression Level: Balance compression speed and effectiveness by adjusting the compression level (e.g., level 6).