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Axiom Build Performance

Checked
fotescodev·vlatest·devops·MIT

Helps with building, performance optimization as part of agent workflows workflows.

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 fotescodev/ios-agent-skills --skill axiom-build-performance -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

fotescodev

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 fotescodev/ios-agent-skills at 65b1718bf4.

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

Scanned
1 file, 695 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 analyzes and optimizes build performance within iOS projects using Axiom. It identifies bottlenecks in the build process, suggests improvements to reduce build times, and provides actionable insights for developers. The tool aims to improve developer productivity by streamlining the build workflow.

When to use it

  • When experiencing slow or unpredictable iOS build times.
  • To identify specific areas within a project contributing to long build durations.
  • Before releasing new versions of an app, ensuring builds are efficient and scalable.
  • During CI/CD pipeline setup to optimize automated build processes.

Key capabilities

  • Axiom integration for build analysis.
  • Bottleneck identification in iOS projects.
  • Performance improvement suggestions.
  • Actionable insights for developers.

Example prompts

  • "Analyze the last build and identify performance bottlenecks."
  • "Suggest ways to reduce the build time of my iOS project."
  • "What are the most significant contributors to long build times in this project?"

Tips & gotchas

This skill requires an existing Axiom setup within your iOS development environment. The accuracy of recommendations depends on the completeness and quality of data collected by Axiom during builds.