Browse reusable instructions for your AI tools. Copy and customize a prompt, or download a skill for a supported agent.
Choose and review Apple selection and input controls: toggles, segmented controls, sliders, pickers, steppers, text fields, labels and keyboard behavior.
Apple HIG guidance for presentation components including alerts, action sheets, popovers, sheets, and digit entry views.
Apple Human Interface Guidelines for layout and navigation components.
Design Apple-platform menus, buttons, toolbars and disclosure controls using the appropriate platform conventions, command hierarchy and accessible interactions.
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program.
Conduct periodic access reviews and certifications. Implement access governance and recertification workflows. Use when managing access compliance.
Add an iOS App Clip target to an Expo app. Use when the user mentions App Clip, AASA, apple-app-site-association, appclips, smart app banner, or wants to ship a lightweight iOS Clip invoked from a URL alongside their parent app.
Build automated evaluation suites for AI agents using golden datasets, rubrics, and regression gates. Use when shipping agent features, validating prompt changes, or gating deployments on quality.
Instrument AI agents with tracing, token metrics, latency, and cost visibility. Use for reliability and debugging.
Schedule AI agent runs with cron, loops, or external clocks while avoiding unsafe tight autonomous timers.
Delegate coding tasks to the Google Antigravity CLI (`agy`) only when the user explicitly requests it, while the orchestrator retains review and landing responsibility.
Secure AI agents against prompt injection, tool abuse, and data exfiltration with defense-in-depth controls.
Secure AI coding agents (Claude Code, Cursor, Codex, Copilot) with permission boundaries, secret protection, code review gates, and safe sandbox configurations for team environments.
Use verified service mesh patterns for AI inference traffic management, mTLS, canary releases, policy enforcement, and cross-cluster resilience.
Orchestrate AI/ML pipelines for data ingestion, model training, batch inference, and RAG indexing using Prefect, Airflow, or Dagster.
Run structured AI red team exercises for jailbreak resistance, data exfiltration risk, harmful output controls, and agent tool abuse resilience.
Harden AI/LLM deployments against prompt injection, data exfiltration, model theft, and supply chain attacks.
Build AI-focused SRE incident response practices for LLM outages, degraded quality, runaway cost events, and safety regressions.
Delegate coding tasks to Aider (`aider`) only when the user explicitly requests it, while the orchestrator retains review and landing responsibility.
Set up alerting rules, configure on-call rotations, and manage incident response workflows.
Keep a Mac awake with caffeinate during long builds, downloads, or supervised automation runs.
Validates whether an API request is correct based on provided inputs (method, URL, headers, body, auth, query params).
Guides stable API and interface design. Use when designing APIs, module boundaries, or any public interface. Use when creating REST or GraphQL endpoints, defining type contracts between modules, or establishing boundaries between frontend and backend.
Generates complete, production-ready REST API endpoint specifications for any system or domain the user describes.
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