Axiom Performance Profiling
CheckedAnalyzes and optimizes fotecodev application performance using detailed profiling data and actionable insights.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add fotescodev/ios-agent-skills --skill axiom-performance-profiling -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto 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.
Automated safety checks
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.
- Commit
- 65b1718bf4
- Scanned
- 1 file, 822 lines
About this skill
What it does
This skill, fotescodev-axiom-performance-profiling, allows AI agents to generate performance profiles using Axiom. It collects and aggregates metrics from iOS applications, providing insights into resource usage and potential bottlenecks. The generated profiles can be used for debugging and optimizing application performance.
When to use it
- Debugging slow app features: Identify specific areas of an iOS app that are causing slowdowns or lag.
- Analyzing memory leaks: Pinpoint the source of excessive memory consumption within a running iOS application.
- Optimizing battery usage: Determine which functions or processes contribute most to battery drain in an iOS app.
- Performance regression testing: Track performance changes after code updates to ensure stability and efficiency.
Key capabilities
- Axiom integration for metric collection
- iOS application profiling
- Resource usage aggregation
- Bottleneck identification
Example prompts
- "Generate a performance profile of the photo editing feature in my iOS app."
- "Analyze memory consumption during the startup sequence of my iOS app and identify potential leaks."
- "Show me a breakdown of battery usage for each module within my iOS application."
Tips & gotchas
This skill requires an Axiom account to function correctly. Ensure your AI agent has the necessary permissions and configuration to access and interpret data from your Axiom instance.