axiom-apple-docs▌
charleswiltgen/axiom · updated Apr 8, 2026
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Apple bundles for-LLM markdown documentation inside Xcode. These are authoritative, up-to-date guides and diagnostics written by Apple engineers. Use them alongside Axiom skills for the most accurate information.
Apple Documentation Router
Apple bundles for-LLM markdown documentation inside Xcode. These are authoritative, up-to-date guides and diagnostics written by Apple engineers. Use them alongside Axiom skills for the most accurate information.
When to Use
Use Apple's bundled docs when:
- You need the exact API signature or behavior from Apple
- Axiom skills reference an Apple framework and you want the official source
- A Swift compiler diagnostic needs explanation
- The user asks about a specific Apple framework feature
Priority: Axiom skills provide opinionated guidance (decision trees, anti-patterns, pressure scenarios). Apple docs provide authoritative API details. Use both together.
Guide Topics (AdditionalDocumentation)
Read these with the MCP axiom_read_skill tool using the skill name.
UI & Design
| Topic | Skill Name |
|---|---|
| Liquid Glass in SwiftUI | apple-guide-swiftui-implementing-liquid-glass-design |
| Liquid Glass in UIKit | apple-guide-uikit-implementing-liquid-glass-design |
| Liquid Glass in AppKit | apple-guide-appkit-implementing-liquid-glass-design |
| Liquid Glass in WidgetKit | apple-guide-widgetkit-implementing-liquid-glass-design |
| SwiftUI toolbar features | apple-guide-swiftui-new-toolbar-features |
| SwiftUI styled text editing | apple-guide-swiftui-styled-text-editing |
| SwiftUI WebKit integration | apple-guide-swiftui-webkit-integration |
| SwiftUI AlarmKit integration | apple-guide-swiftui-alarmkit-integration |
| Swift Charts 3D visualization | apple-guide-swift-charts-3d-visualization |
| Foundation AttributedString | apple-guide-foundation-attributedstring-updates |
Data & Persistence
| Topic | Skill Name |
|---|---|
| SwiftData class inheritance | apple-guide-swiftdata-class-inheritance |
Concurrency & Performance
| Topic | Skill Name |
|---|---|
| Swift concurrency updates | apple-guide-swift-concurrency-updates |
| InlineArray and Span | apple-guide-swift-inlinearray-span |
Apple Intelligence
| Topic | Skill Name |
|---|---|
| Foundation Models (on-device LLM) | apple-guide-foundationmodels-using-on-device-llm-in-your-app |
System Integration
| Topic | Skill Name |
|---|---|
| App Intents updates | apple-guide-appintents-updates |
| StoreKit updates | apple-guide-storekit-updates |
| MapKit GeoToolbox | apple-guide-mapkit-geotoolbox-placedescriptors |
| Widgets for visionOS | apple-guide-widgets-for-visionos |
Accessibility
| Topic | Skill Name |
|---|---|
| Assistive Access in iOS | apple-guide-implementing-assistive-access-in-ios |
Computer Vision
| Topic | Skill Name |
|---|---|
| Visual Intelligence in iOS | apple-guide-implementing-visual-intelligence-in-ios |
Swift Compiler Diagnostics
These explain specific Swift compiler errors and warnings with examples and fixes.
Concurrency Diagnostics
| Diagnostic | Skill Name |
|---|---|
| Actor-isolated call from nonisolated context | apple-diag-actor-isolated-call |
| Conformance isolation | apple-diag-conformance-isolation |
| Isolated conformances | apple-diag-isolated-conformances |
| Nonisolated nonsending by default | apple-diag-nonisolated-nonsending-by-default |
| Sendable closure captures | apple-diag-sendable-closure-captures |
| Sendable metatypes | apple-diag-sendable-metatypes |
| Sending closure risks data race | apple-diag-sending-closure-risks-data-race |
| Sending risks data race | apple-diag-sending-risks-data-race |
| Mutable global variable | apple-diag-mutable-global-variable |
| Preconcurrency import | apple-diag-preconcurrency-import |
Type System Diagnostics
| Diagnostic | Skill Name |
|---|---|
| Existential any | apple-diag-existential-any |
| Existential member access limitations | apple-diag-existential-member-access-limitations |
| Nominal types | apple-diag-nominal-types |
| Multiple inheritance | apple-diag-multiple-inheritance |
| Protocol type non-conformance | apple-diag-protocol-type-non-conformance |
| Opaque type inference | apple-diag-opaque-type-inference |
Build & Migration Diagnostics
| Diagnostic | Skill Name |
|---|---|
| Deprecated declaration | apple-diag-deprecated-declaration |
| Error in future Swift version | apple-diag-error-in-future-swift-version |
| Strict language features | apple-diag-strict-language-features |
| Strict memory safety | apple-diag-strict-memory-safety |
| Implementation only deprecated | apple-diag-implementation-only-deprecated |
| Member import visibility | apple-diag-member-import-visibility |
| Missing module on known paths | apple-diag-missing-module-on-known-paths |
| Clang declaration import | apple-diag-clang-declaration-import |
| Availability unrecognized name | apple-diag-availability-unrecognized-name |
| Unknown warning group | apple-diag-unknown-warning-group |
Swift Language Diagnostics
| Diagnostic | Skill Name |
|---|---|
| Dynamic callable requirements | apple-diag-dynamic-callable-requirements |
| Property wrapper requirements | apple-diag-property-wrapper-requirements |
| Result builder methods | apple-diag-result-builder-methods |
| String interpolation conformance | apple-diag-string-interpolation-conformance |
| Trailing closure matching | apple-diag-trailing-closure-matching |
| Temporary pointers | apple-diag-temporary-pointers |
Routing Decision Tree
User question about Apple API/framework?
├── Specific compiler error/warning → Read matching apple-diag-* skill
├── Liquid Glass implementation → Read apple-guide-*-liquid-glass-design (SwiftUI/UIKit/AppKit)
├── Swift concurrency patterns → Read apple-guide-swift-concurrency-updates
├── Foundation Models / on-device AI → Read apple-guide-foundationmodels-*
├── SwiftData features → Read apple-guide-swiftdata-*
├── StoreKit / IAP → Read apple-guide-storekit-updates
├── App Intents / Siri → Read apple-guide-appintents-updates
├── Charts / visualization → Read apple-guide-swift-charts-3d-visualization
├── Text editing / AttributedString → Read apple-guide-swiftui-styled-text-editing or apple-guide-foundation-attributedstring-updates
├── WebKit in SwiftUI → Read apple-guide-swiftui-webkit-integration
├── Toolbar features → Read apple-guide-swiftui-new-toolbar-features
└── Other → Search with axiom_search_skills using source filter "apple"
Resources
Skills: axiom-ios-ui, axiom-ios-concurrency, axiom-ios-data, axiom-ios-ai, axiom-ios-integration
How to use axiom-apple-docs on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add axiom-apple-docs
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches axiom-apple-docs from GitHub repository charleswiltgen/axiom and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate axiom-apple-docs. Access the skill through slash commands (e.g., /axiom-apple-docs) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★74 reviews- ★★★★★Daniel Nasser· Dec 28, 2024
I recommend axiom-apple-docs for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Kwame Wang· Dec 24, 2024
We added axiom-apple-docs from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Michael Rahman· Dec 20, 2024
Solid pick for teams standardizing on skills: axiom-apple-docs is focused, and the summary matches what you get after install.
- ★★★★★Kaira Diallo· Dec 16, 2024
Keeps context tight: axiom-apple-docs is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Li Chen· Dec 16, 2024
axiom-apple-docs is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Pratham Ware· Dec 12, 2024
We added axiom-apple-docs from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Ama Thompson· Dec 12, 2024
axiom-apple-docs reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Ama Kapoor· Nov 27, 2024
We added axiom-apple-docs from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Chen Gill· Nov 27, 2024
Solid pick for teams standardizing on skills: axiom-apple-docs is focused, and the summary matches what you get after install.
- ★★★★★Arya Patel· Nov 19, 2024
axiom-apple-docs fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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