apple-claude-apple-intelligence
Apple Intelligence skills for on-device AI features including Foundation Models, Visual Intelligence, App Intents, and intelligent assistants.
Skill by abpaul
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/abpaul-apple-claude-apple-intelligence
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.
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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
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/apple-claude-apple-intelligence
What's inside
- Skill name
apple-claude-apple-intelligence- Description
- Apple Intelligence skills for on-device AI features including Foundation Models, Visual Intelligence, App Intents, and intelligent assistants. Use when implementing AI-powered features.
- License
- MIT
- Instructions
- 74 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- allowed-tools: must be a space-separated string
Files (10)
- SKILL.md
- SKILL.md · app-intents/
- advanced-features.md · app-intents/
- entities-spotlight.md · app-intents/
- intents-basics.md · app-intents/
- SKILL.md · foundation-models/
- models-and-agents.md · foundation-models/
- safety-and-guardrails.md · foundation-models/
- utilities-package.md · foundation-models/
- SKILL.md · visual-intelligence/
SKILL.md (first lines)
# Apple Intelligence Skills Skills for implementing Apple Intelligence features including on-device LLMs, visual recognition, App Intents integration, and intelligent assistants. ## When This Skill Activates Use this skill when the user: - Wants to add AI/LLM features to their app - Needs on-device text generation or understanding - Asks about Foundation Models or Apple Intelligence - Wants to implement structured AI output - Needs prompt engineering guidance - Wants camera-based visual intelligence features - Needs Siri, Shortcuts, or Spotlight integration via App Intents - Wants to expose app actions or content to the system ## Available Skills ### foundation-models/ On-device LLM integration with prompt engineering best practices. - Model availability checking - Session management - @Generable structured output (property-order + schema-injection rules) - Tool calling patterns - Snapshot streaming - Prompt engineering techniques - `safety-and-guardrails.md` — model limits, the instructions-over-prompts hierarchy, guardrail handling, the four-layer safety stack, evals - `models-and-agents.md` — Private Cloud Compute, LanguageModel protocol (third-party backends), vision input, DynamicProfile agents, tool-calling modes, KV-cache rules ### visual-intelligence/ Integrate with iOS Visual Intelligence for camera-based search. - IntentValueQuery implementation - SemanticContentDescriptor handling - AppEntity for searchable content - Display representations - Deep linking from results ### app-intents/ App Intents for Siri, Shortcuts, Spotlight, and Apple Intelligence. - AppIntent protocol, parameters, perform() - AppEntity and entity queries - App Shortcuts with voice phrases - IndexedEntity and Spotlight indexing - Intent modes (background, foreground) - Interactive snippets with SnippetIntent - Visual intelligence integration - Onscreen entities for Siri/ChatGPT - Multiple choice API - Swift package support ## Key Principles ### 1. Privacy First - On-device processing by default; Private Cloud Compute extends capacity without storing prompts (no account/API keys — WWDC26 241) - When routing to less-private backends, redact context first (see foundation-models/models-and-agents.md) ### 2. Graceful Degradation - Always check model availability - Provide fallback UI for unsupported devices - Handle errors gracefully (incl. guardrail violations — silent for proactive features, explained for user-initiated) ### 3. Efficient Prompting - Keep prompts focused and specific - Use structured output when possible - Respect context window limits — query `model.contextSize`, never hardcode (4,096 first-gen on-device; 8,192 iOS 27 on-device; 32,000 Private Cloud Compute) ## Reference Documentation - [Foundation Models](https://developer.apple.com/documentation/foundationmodels) - [Visual Intelligence](https://developer.apple.com/documentation/visualintelligence) - [App Intents](https://developer.apple.com/documentation/appintents) - Local captured docs (optional): if `~/Downloads/docs/` contains `FoundationModels-Using-on-device-LLM-in-your-app.md`, `Implementing-Visual-Intelligence-in-iOS.md`, or `AppIntents-Updates.md`, read them for extra detail; skip silently if absent.
From abpaul/phxstack, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 1
- Last commit (this folder)
- Sep 13, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/abpaul/phxstack
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
apple-claude-apple-intelligence skill. Agent Mart. https://agentmart.dev/skills/abpaul-apple-claude-apple-intelligence (last updated 2026-10-24)