ios-performance

ios-performance is a skill for Claude Code, Codex from koshkinvv/ios-agent-skills. It costs 201 tokens per session (3,089 once invoked), scanned A, original, MIT.

A set of guidelines for improving the speed and memory use of iOS apps built with Swift and SwiftUI. It covers object references, delegates, observable data and large scrolling lists.

In plain words
What is it for?
Use it when reviewing Swift code, fixing retain cycles, choosing between iOS observation systems, splitting SwiftUI views or optimizing large collections.
Why use it?
It helps avoid memory leaks, unnecessary screen updates and the cost of creating too many list items at once. These problems can make an app slow or cause it to retain objects longer than needed.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it when reviewing Swift code, fixing retain cycles, choosing between iOS observation systems, splitting SwiftUI views or optimizing large collections.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/koshkinvv/ios-agent-skills/ios-performance
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add koshkinvv/ios-agent-skills --skill ios-performance
Clone the repo
git clone --depth 1 https://github.com/koshkinvv/ios-agent-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for ios-performance

README.md
[![agentmods](https://agentmods.dev/badge/skills/koshkinvv/ios-agent-skills/ios-performance/github.svg)](https://agentmods.dev/skills/koshkinvv/ios-agent-skills/ios-performance)
Your own site
<a href="https://agentmods.dev/skills/koshkinvv/ios-agent-skills/ios-performance"><img src="https://agentmods.dev/badge/skills/koshkinvv/ios-agent-skills/ios-performance/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for ios-performance

Your own site · 80×15
<a href="https://agentmods.dev/skills/koshkinvv/ios-agent-skills/ios-performance"><img src="https://agentmods.dev/badge/skills/koshkinvv/ios-agent-skills/ios-performance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 201 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,089 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00201 $0.03089
Opus 5 $0.00101 $0.01545
Sonnet 5 $0.00040 $0.00618
Haiku 4.5 $0.00020 $0.00309

Measured 10d ago against content hash d19340c8fe2a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

ios-performance scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/ios-performance/SKILL.md · 316 lines

How it starts

The opening of the file, as written. The whole thing — 316 lines — stays where its author put it; the contents beside it link to each section on GitHub.

iOS Performance Optimization Skill

Core Rules

  1. Use [weak self] in escaping closures by default — use [unowned self] only when the closure's lifetime is strictly shorter than the captured object (e.g., parent owns child, child's closure references parent).
  2. Non-escaping closures do NOT need [weak self]map, filter, forEach, reduce, compactMap, sorted(by:) are non-escaping. The closure executes synchronously and releases captures immediately.
  3. Delegates must be weak var — the delegate protocol must conform to AnyObject (or be marked @objc). Strong delegates create retain cycles between owner and delegate.
  4. Use @Observable over ObservableObject (iOS 17+) — @Observable tracks property access per-view, so only views reading a changed property re-evaluate. ObservableObject with @Published invalidates ALL observing views on ANY published property change.
  5. Break SwiftUI views into small subviews — each subview localizes its state dependency, so changes only re-evaluate the subview, not the entire parent body.
  6. Use LazyVStack/LazyHStack inside ScrollView for large collectionsVStack evaluates ALL children upfront. Use List for very large datasets (10,000+) since it reuses cells.
  7. Use .task modifier instead of .onAppear + Task {}.task automatically cancels when the view disappears. Use .task(id:) to restart when a dependency changes.
  8. Profile with Instruments BEFORE optimizing — measure first, optimize second. Never guess where the bottleneck is.
  9. Never block the main thread — all file I/O, network calls, JSON decoding of large payloads, image processing, and database queries must run off the main thread.
  10. Reuse expensive objectsURLSession, DateFormatter, JSONDecoder, NumberFormatter, NSRegularExpression are expensive to create. Use shared instances or caches.

Performance Targets

Metric Target Critical Threshold
Cold launch <400ms to first frame >2s triggers watchdog kill
Warm launch <200ms >1s feels broken
Frame rate 60 FPS (120 on ProMotion) <45 FPS is noticeable jank
Frame budget 16.67ms (8.33ms at 120Hz) >33ms = visible dropped frame
Memory (typical) <100MB resident >500MB risks jetsam on older devices
Memory (spike) <200MB peak Varies by device class
CPU idle <3% >5% drains battery
CPU active task <80% sustained 100% = thermal throttling
API response (perceived) <200ms >1s needs loading indicator
App size (download) <50MB (OTA limit: 200MB) >200MB requires Wi-Fi
Disk writes <1MB/min sustained Excessive writes degrade flash

Read the full file on GitHub · 316 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 316 lines · 201 tokens per session scan A d19340c8fe2a

Subscribe to this mod's changes

ios-performance is a skill published in the GitHub repository koshkinvv/ios-agent-skills (6 stars, last pushed 5mo ago), licensed MIT. It adds 201 tokens to every session and 3,089 once invoked, about $0.0010 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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