Swift Performance Optimization Skill SKILL.md skillA
Swift Performance Optimization Skill from fal3/claude-skills-collection is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add fal3/claude-skills-collection/Swift Performance Optimization Skill@git:20260814.a9c26d7Pins git:20260814.a9c26d7 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- fal3/claude-skills-collection
- Path
skills/swift-performance-optimization-skill/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260814.a9c26d7, committed Aug 14, 2026
- First version recorded
- Oct 22, 2025
- Size
- 7,350 bytes
- Repository stars
- 20
- License
- MIT
Use when investigating measured Swift or Apple-platform regressions in CPU, memory, launch, scrolling, animation hitches, image processing, energy, networking, or concurrency, or when designing performance tests and Instruments experiments. Do not use for speculative micro-optimization, ordinary refactoring, or a functional bug without performance evidence.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Swift Performance Optimization Skill Optimize from evidence. Preserve behavior, accessibility, data correctness, and lifecycle safety while changing performance characteristics. ## Baseline The copy-ready examples use Xcode 16, Swift 6 language mode with strict concurrency, and iOS 17. Most principles apply to older targets; verify each API against the app's actual minimum. Material from the OS 27 development cycle is beta relative to stable Xcode 26.6 and requires an explicit request, beta labeling, stable fallback, and availability gate. ## Measurement workflow 1. Define a user-visible symptom and a reproducible scenario. 2. Record device, OS, build configuration, dataset, thermal state, and network conditions. 3. Measure an optimized Release build on representative hardware. Simulator-only timing is not release evidence. 4. Select the instrument that answers the hypothesis. 5. Save a baseline trace or metric, change one variable, then repeat the same scenario. 6. Confirm that the bottleneck moved and no memory, energy, correctness, or accessibility regression appeared. 7. Add a regression threshold where the workload is stable enough to automate. Useful tools include: …
Read the whole file at its exact version.
How to install
mdr add fal3/claude-skills-collection/Swift Performance Optimization Skill@sha256:f6e43a81a1612db9The line at the top of this page pins the label git:20260814.a9c26d7, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_hivve3pmis4nf3k5)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Oct 22, 2025 and Aug 14, 2026, about one every 296 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260814.a9c26d7 latest | 2026-08-14 | a9c26d7 | 7,350 B | A | view · diff |
| v1 | 2025-10-22 | 4c2260c | 8,581 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (7350 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
fal3/claude-skills-collection · 20 stars · license MIT · pushed 2026-10-28 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_hivve3pmis4nf3k5 GET https://markdownregistry.com/api/v1/resolve?ref=fal3/claude-skills-collection/Swift Performance Optimization Skill GET https://markdownregistry.com/api/v1/blob/f6e43a81a1612db94b5f7031466a3b048babb80762c354dbae41d3c8df9e1a7b
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.