ios-xcode
Xcode setup and tooling guidance for iOS 26 / Swift 6.2 clinic modular MVVM-C projects covering project configuration, SwiftData container wiring, testing…
Skill by pproenca
Chalk Labs
Need help deploying ios-xcode?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/pproenca-ios-xcode
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: testing, devops
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/ios-xcode
What's inside
- Skill name
ios-xcode- Description
- Xcode setup and tooling guidance for iOS 26 / Swift 6.2 clinic modular MVVM-C projects covering project configuration, SwiftData container wiring, testing, debugging, profiling, and distribution workflows. Use when configuring App-target infrastructure or day-to-day tooling around clinic architecture modules.
- License
- MIT
- Instructions
- 92 lines in SKILL.md · view on GitHub
Files (23)
- SKILL.md
- _template.md · assets/templates/
- metadata.json
- _sections.md · references/
- data-crud-operations.md · references/
- data-model-container.md · references/
- data-model-macro.md · references/
- data-query-for-fetching.md · references/
- data-relationships.md · references/
- debug-breakpoints.md · references/
- debug-console-output.md · references/
- dist-app-icons.md · references/
- dist-testflight.md · references/
- ml-natural-language.md · references/
- perf-instruments-profiling.md · references/
- platform-app-storage.md · references/
- platform-scene-phase.md · references/
- platform-system-features.md · references/
- platform-widget-integration.md · references/
- spatial-visionos-windows.md · references/
- test-preview-macro.md · references/
- test-preview-sample-data.md · references/
- test-swift-testing.md · references/
SKILL.md (first lines)
# iOS Xcode & Tooling Best Practices Comprehensive guide for Xcode project configuration, SwiftData persistence, testing, debugging, profiling, and app distribution. Contains 19 rules across 6 categories. ## Clinic Architecture Contract (iOS 26 / Swift 6.2) All guidance in this skill assumes the clinic modular MVVM-C architecture: - Feature modules import `Domain` + `DesignSystem` only (never `Data`, never sibling features) - App target is the convergence point and owns `DependencyContainer`, concrete coordinators, and Route Shell wiring - `Domain` stays pure Swift and defines models plus repository, `*Coordinating`, `ErrorRouting`, and `AppError` contracts - `Data` owns SwiftData/network/sync/retry/background I/O and implements Domain protocols - Read/write flow defaults to stale-while-revalidate reads and optimistic queued writes - ViewModels call repository protocols directly (no default use-case/interactor layer) ## When to Apply Reference these guidelines when: - Setting up Xcode projects with AppStorage, ScenePhase, or widgets - Implementing SwiftData models, queries, and CRUD operations - Writing tests with Swift Testing framework - Debugging with breakpoints and console output - Profiling performance with Instruments - Distributing apps via TestFlight - Building for visionOS or integrating ML features ## Rule Categories by Priority | Priority | Category | Impact | Prefix | |----------|----------|--------|--------| | 1 | SwiftData & Persistence | CRITICAL | `data-` | | 2 | Project & Platform | HIGH | `platform-` | | 3 | Testing | HIGH | `test-` | | 4 | Debugging & Profiling | MEDIUM-HIGH | `debug-`, `perf-` | | 5 | Distribution | MEDIUM | `dist-` | | 6 | Specialty Platforms | MEDIUM | `ml-`, `spatial-` | ## Quick Reference ### 1. Project & Platform (HIGH) - [`platform-app-storage`](references/platform-app-storage.md) - Use AppStorage for user preferences - [`platform-scene-phase`](references/platform-scene-phase.md) - Respond to app lifecycle with ScenePhase - [`platform-widget-integration`](references/platform-widget-integration.md) - Design for widget and Live Activity integration - [`platform-system-features`](references/platform-system-features.md) - Integrate system features natively ### 2. SwiftData & Persistence (CRITICAL) - [`data-model-macro`](references/data-model-macro.md) - Define models with @Model macro - [`data-query-for-fetching`](references/data-query-for-fetching.md) - Use @Query for fetching data - [`data-model-container`](references/data-model-container.md) - Configure model containers - [`data-relationships`](references/data-relationships.md) - Define model relationships - [`data-crud-operations`](references/data-crud-operations.md) - Implement CRUD operations ### 3. Testing (HIGH) - [`test-swift-testing`](references/test-swift-testing.md) - Use Swift Testing framework - [`test-preview-sample-data`](references/test-preview-sample-data.md) - Create preview sample data - [`test-preview-macro`](references/test-preview-macro.md) - Use #Preview macro for rapid iteration ### 4. Debugging & Profiling (MEDIUM-HIGH) - [`debug-breakpoints`](references/debug-breakpoints.md) - Use breakpoints for debugging - [`debug-console-output`](references/debug-console-output.md) - Use console output for debugging - [`perf-instruments-profiling`](references/perf-instruments-profiling.md) - Profile SwiftUI with Instruments ### 5. Distribution (MEDIUM) - [`dist-testflight`](references/dist-testflight.md) - Distribute via TestFlight - [`dist-app-icons`](references/dist-app-icons.md) - Design app icons for distribution ### 6. Specialty Platforms (MEDIUM) - [`ml-natural-language`](references/ml-natural-language.md) - Integrate Natural Language ML - [`spatial-visionos-windows`](references/spatial-visionos-windows.md) - Build for visionOS spatial computing ## How to Use Read individual reference files for detailed explanations and code examples: - [Section definitions](references/_sections.md) - Category structure and impact levels - [Rule template](assets/templates/_template.md) - Template for adding new rules ## Reference Files | File | Description | |------|-------------| | [references/_sections.md](references/_sections.md) | Category definitions and ordering | | [assets/templates/_template.md](assets/templates/_template.md) | Template for new rules |
From pproenca/dot-skills, MIT.
More from pproenca/dot-skills
- 0.694score
tanstack-query
community
TanStack Query v5 performance optimization for data fetching, caching, mutations, and query patterns.
SkillCFreshness: C★ 218Claude Code +9 - 0.596score
mlflow-3
pproenca
MLflow 3 (open-source, pinned to 3.15) for classic-ML MLOps — logging and registering models, promoting versions across dev/staging/prod, standing up a…
SkillBFreshness: B★ 218Claude Code +9 - 0.596score
ray
pproenca
Production Ray (open-source, pinned to 2.57) for classic-ML workloads from training to serving — Ray Train, Tune, Data, Serve, Core, and cluster deployment on…
SkillBFreshness: B★ 218Claude Code +9 - 0.596score
mlflow-mlops-migration
pproenca
Guided workflow for taking any ML codebase — including one with no experiment tracking at all, or one full of MLflow 2-era idioms — to a production-grade…
SkillBFreshness: B★ 218Claude Code +9 - 0.596score
ray-llm
pproenca
LLM workloads on open-source Ray (pinned to 2.57) — OpenAI-compatible serving with ray.serve.llm (vLLM-backed LLMConfig + build_openai_app) and batch…
SkillBFreshness: B★ 218Claude Code +9 - 0.550score
expo-ui
pproenca
Library reference for @expo/ui SwiftUI components on iOS — covers Host boundaries, modifier composition, iOS 26 Liquid Glass and Human Interface Guidelines…
SkillCFreshness: C★ 218Claude Code +9 - 0.550score
debug
pproenca
Comprehensive debugging methodology for finding and fixing bugs (formerly debugging).
SkillCFreshness: C★ 218Claude Code +9 - 0.550score
bug-review
pproenca
Use this skill when a user asks to review a pull request for bugs, wants AI code review focused on correctness issues, or runs /bug-review.
SkillCFreshness: C★ 218Claude Code +9 - 0.550score
ios-taste
pproenca
Designs iOS 18+ SwiftUI experiences with real taste — starting from user goals, not pixels.
SkillCFreshness: C★ 218Claude Code +9 - 0.550score
implementation-functional-patterns
pproenca
TypeScript's functional answers to the 22 Gang of Four classes — factory functions (Factory Method, Abstract Factory, Prototype, Memento), module-scope…
SkillCFreshness: C★ 218Claude Code +9 - 0.550score
expo
pproenca
Expo React Native performance optimization guidelines.
SkillCFreshness: C★ 218Claude Code +9 - 0.550score
deterministic-metric-design
pproenca
Inventing deterministic metrics — turning a fuzzy property like 'maintainability', 'risk', or 'how reducible this code is' into a deterministic, computable…
SkillCFreshness: C★ 218Claude Code +9
Signals
- Stars
- 218
- Forks
- 19
- Open issues
- 3
- Last commit (this folder)
- May 27, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/pproenca/dot-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from pproenca
- 0.596score
ray-llm
pproenca
LLM workloads on open-source Ray (pinned to 2.57) — OpenAI-compatible serving with ray.serve.llm (vLLM-backed LLMConfig + build_openai_app) and batch…
SkillBFreshness: B★ 218Claude Code +9 - 0.596score
mlflow-mlops-migration
pproenca
Guided workflow for taking any ML codebase — including one with no experiment tracking at all, or one full of MLflow 2-era idioms — to a production-grade…
SkillBFreshness: B★ 218Claude Code +9 - 0.596score
mlflow-3
pproenca
MLflow 3 (open-source, pinned to 3.15) for classic-ML MLOps — logging and registering models, promoting versions across dev/staging/prod, standing up a…
SkillBFreshness: B★ 218Claude Code +9 - 0.596score
ray
pproenca
Production Ray (open-source, pinned to 2.57) for classic-ML workloads from training to serving — Ray Train, Tune, Data, Serve, Core, and cluster deployment on…
SkillBFreshness: B★ 218Claude Code +9 - 0.550score
expo
pproenca
Expo React Native performance optimization guidelines.
SkillCFreshness: C★ 218Claude Code +9 - 0.550score
debug
pproenca
Comprehensive debugging methodology for finding and fixing bugs (formerly debugging).
SkillCFreshness: C★ 218Claude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get ios-xcode running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
ios-xcode skill. Agent Mart. https://agentmart.dev/skills/pproenca-ios-xcode (last updated 2026-10-24)