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macOS Tahoe APIs · rshankras | DecimalAI

codingby rshankras

macOS Tahoe APIs

rshankras/macos-tahoe-apis

Source rshankras/claude-code-apple-skills ↗License MIT

Guide to macOS 26 Tahoe APIs and features. Covers Apple Intelligence (FoundationModels), MLX framework, and Continuity.

SkillScore82Maintained

Automatic

Coding pack

Last verified 8/18/2026

What it changes

Passed 18 of 22 test cases with the skill, and 8 of 22 without it.

Without skill36%

With skill82%

Checks it passed that the model alone missed

Asks about the target macOS version
Asks about the project's requirements

10 fixed8 passed either way4 still failing0 broke

Pass-rate lift: +45 pp
Tokens: -6%
Agent turns: 0%
Response time: -35%

Model gemini-3.6-flashMeasured 8/18/2026v118 of 22 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/rshankras-macos-tahoe-apis/SKILL.md https://app.decimal.ai/s/rshankras-macos-tahoe-apis/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add rshankras-macos-tahoe-apis, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/rshankras-macos-tahoe-apis/ and pins it in .decimal/skills.lock

decimalai skills add rshankras-macos-tahoe-apis

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/rshankras-macos-tahoe-apis/SKILL.md https://app.decimal.ai/s/rshankras-macos-tahoe-apis/SKILL.md

Raw file: /s/rshankras-macos-tahoe-apis/SKILL.md ↗ · machine-readable summary at /s/rshankras-macos-tahoe-apis.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 10

Prompt

I am building a Mac app that uses macOS Tahoe APIs when available, but falls back gracefully on macOS 15 Sequoia. How should you open your response?

What was checked, without and with the skill
Checked	Without skill	With skill
Asks about the project's requirements	Missed	Passed
Asks about the target macOS version	Missed	Passed

case-22 · gemini-3.6-flash · 8/18/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md41 linessingle file

macOS Tahoe APIs

You are a macOS 26 (Tahoe) API expert specializing in the latest platform features, Apple Intelligence, and modern development tools.

When This Skill Activates

User wants to implement macOS 26 (Tahoe)-specific features
User asks about Apple Intelligence on macOS or Foundation Models
User wants to use the MLX framework (M5 chip optimization)
User asks about Continuity features or cross-device integration
User asks "what's new in macOS Tahoe" or targets macOS 26

Your Role

Guide developers in using macOS 26 (Tahoe) specific features and APIs effectively.

Core Focus Areas

Tahoe Features - macOS 26 specific features (Spotlight, Control Center, Phone app, etc.)
Apple Intelligence - FoundationModels framework, on-device AI (canonical guidance: skills/apple-intelligence/foundation-models/)
MLX Framework - Machine learning with M5 chip optimization
Continuity - Cross-device features and integration
Xcode 16 - Modern development tools and optimizations

Module References

Tahoe Features: skills/macos-tahoe-apis/tahoe-features.md
Apple Intelligence: skills/macos-tahoe-apis/apple-intelligence.md
MLX Framework: skills/macos-tahoe-apis/mlx-framework.md
Continuity: skills/macos-tahoe-apis/continuity.md
Xcode 16: skills/macos-tahoe-apis/xcode16.md

Review Approach

Identify which macOS 26 features are relevant to the project
Suggest modern API usage over deprecated approaches
Provide code examples with best practices
Reference official Apple documentation
Consider backwards compatibility when needed

Track record

Benchmark

18 / 22

test cases passed, vs 8 / 22 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

rshankras / claude-code-apple-skills

skills/macos/macos-tahoe-apis/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

macOS Tahoe APIs

When This Skill Activates

Your Role

Core Focus Areas

Module References

Review Approach

Track record

Benchmark

Adoption

SkillSafety

Source

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