Apple HIG: Technologies workflow skill. Use this skill when the user needs Check for .claude/apple-design-context.md before asking questions. Use existing context and only ask for information not already covered and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
Apple HIG: Technologies workflow skill. Use this skill when the user needs Check for .claude/apple-design-context.md before asking questions. Use existing context and only ask for information not already covered and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
This public intake copy packages plugins/antigravity-awesome-skills/skills/hig-technologies from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.
Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.
This intake keeps the copied upstream files intact and uses the external_source block in metadata.json plus ORIGIN.md as the provenance anchor for review.
Apple HIG: Technologies Check for .claude/apple-design-context.md before asking questions. Use existing context and only ask for information not already covered.
Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Output Format, Questions to Ask, Limitations.
When to Use This Skill
Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.
This skill is applicable to execute the workflow or actions described in the overview.
Use when the request clearly matches the imported source intent: Check for .claude/apple-design-context.md before asking questions. Use existing context and only ask for information not already covered.
Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.
Use when provenance needs to stay visible in the answer, PR, or review packet.
Use when copied upstream references, examples, or scripts materially improve the answer.
Use when the workflow should remain reviewable in the public intake repo before the private enhancer takes over.
Operating Table
Situation
Start here
Why it matters
First-time use
metadata.json
Confirms repository, branch, commit, and imported path through the external_source block before touching the copied workflow
Provenance review
ORIGIN.md
Gives reviewers a plain-language audit trail for the imported source
Workflow execution
references/airplay.md
Starts with the smallest copied file that materially changes execution
Supporting context
references/always-on.md
Adds the next most relevant copied source file without loading the entire package
Handoff decision
## Related Skills
Helps the operator switch to a stronger native skill when the task drifts
Workflow
This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.
Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
Read the overview and provenance files before loading any copied upstream support files.
Load only the references, examples, prompts, or scripts that materially change the outcome for the current request.
Execute the upstream workflow while keeping provenance and source boundaries explicit in the working notes.
Validate the result against the upstream expectations and the evidence you can point to in the copied files.
Escalate or hand off to a related skill when the work moves out of this imported workflow's center of gravity.
Before merge or closure, record what was used, what changed, and what the reviewer still needs to verify.
Imported Workflow Notes
Imported: Output Format
Implementation checklist -- step-by-step requirements per Apple's guidelines.
Required vs optional features for approval.
Privacy and permission requirements -- data access, usage descriptions.
User-facing flow from permission prompt through task completion.
Testing guidance -- key scenarios including edge cases.
Examples
Example 1: Ask for the upstream workflow directly
Use @hig-technologies-v2 to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.
Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.
Example 2: Ask for a provenance-grounded review
Review @hig-technologies-v2 against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.
Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.
Example 3: Narrow the copied support files before execution
Use @hig-technologies-v2 for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.
Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.
Example 4: Build a reviewer packet
Review @hig-technologies-v2 using the copied upstream files plus provenance, then summarize any gaps before merge.
Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.
Best Practices
Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.
Apple technologies extend app capabilities through system integration. Each technology has established user-facing patterns; deviating creates confusion and erodes trust.
Privacy and user control are paramount. Especially for health, payment, and identity technologies. Request only needed data, explain why, respect choices.
Natural, predictable, recoverable. Clear conversational intent phrases that complete quickly and confirm results. Support App Shortcuts for proactive suggestions. Handle errors with clear fallbacks.
Transparent and frictionless. Standard Apple Pay button styles. Never ask for card details when Apple Pay is available. Clearly describe what the user is buying, the price, and whether it's one-time or subscription.
Health data is deeply personal. Explain the health benefit before requesting access. CareKit tasks should be encouraging. ResearchKit consent flows must be thorough, readable, and respect autonomy.
Simple and reliable. Immediate response when controlling devices. Clear device state. Graceful handling of connectivity issues.
Genuine value, not gimmicks. Use AR when spatial context improves understanding. Guide setup (surface, lighting, space). Provide clear exit back to standard interaction.
Imported Operating Notes
Imported: Key Principles
General
Apple technologies extend app capabilities through system integration. Each technology has established user-facing patterns; deviating creates confusion and erodes trust.
Privacy and user control are paramount. Especially for health, payment, and identity technologies. Request only needed data, explain why, respect choices.
Siri and Voice
Natural, predictable, recoverable. Clear conversational intent phrases that complete quickly and confirm results. Support App Shortcuts for proactive suggestions. Handle errors with clear fallbacks.
Payments and Commerce
Transparent and frictionless. Standard Apple Pay button styles. Never ask for card details when Apple Pay is available. Clearly describe what the user is buying, the price, and whether it's one-time or subscription.
Health and Fitness
Health data is deeply personal. Explain the health benefit before requesting access. CareKit tasks should be encouraging. ResearchKit consent flows must be thorough, readable, and respect autonomy.
Smart Home
Simple and reliable. Immediate response when controlling devices. Clear device state. Graceful handling of connectivity issues.
Augmented Reality
Genuine value, not gimmicks. Use AR when spatial context improves understanding. Guide setup (surface, lighting, space). Provide clear exit back to standard interaction.
Machine Learning and Generative AI
Enhance without surprising. Smart suggestions, image recognition, text prediction. Clearly attribute AI-generated content. Controls to edit, regenerate, or dismiss. Let users correct mistakes.
Identity and Authentication
Sign in with Apple as top option. Standard button styles. Respect email hiding preference. ID Verifier: guided flows, don't store sensitive data beyond what verification requires.
Cloud and Data
Invisible and reliable sync. Data appears on all devices without manual intervention. Handle conflicts gracefully. Never lose data.
Shared Experiences
Real-time participation. SharePlay: support multiple participants, show presence, handle latency. AirPlay: appropriate Now Playing metadata.
Automotive
Driver safety first. Minimize interaction complexity, large touch targets, no distracting content. Only permitted app types: audio, messaging, EV charging, navigation, parking, quick food ordering.
Accessibility
Baseline requirement. Every element has a meaningful VoiceOver label, trait, and action. Support Dynamic Type, Switch Control, and other assistive technologies. Test entirely with VoiceOver enabled.
Troubleshooting
Problem: The operator skipped the imported context and answered too generically
Symptoms: The result ignores the upstream workflow in plugins/antigravity-awesome-skills/skills/hig-technologies, fails to mention provenance, or does not use any copied source files at all.
Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Check the external_source block first, then restate the provenance before continuing.
Problem: The imported workflow feels incomplete during review
Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task.
Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.
Problem: The task drifted into a different specialization
Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better.
Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.
Related Skills
@00-andruia-consultant - Use when the work is better handled by that native specialization after this imported skill establishes context.
@00-andruia-consultant-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
@10-andruia-skill-smith - Use when the work is better handled by that native specialization after this imported skill establishes context.
@10-andruia-skill-smith-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
Additional Resources
Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.
Resource family
What it gives the reviewer
Example path
references
copied reference notes, guides, or background material from upstream
references/airplay.md
examples
worked examples or reusable prompts copied from upstream
examples/n/a
scripts
upstream helper scripts that change execution or validation
scripts/n/a
agents
routing or delegation notes that are genuinely part of the imported package
agents/n/a
assets
supporting assets or schemas copied from the source package
