Apple HIG: Presentation Components
Apple HIG guidance for presentation components including alerts, action sheets, popovers, sheets, and digit entry views.
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Apple HIG guidance for presentation components including alerts, action sheets, popovers, sheets, and digit entry views.
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.
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 coding agents (Claude Code, Cursor, Codex, Copilot) with permission boundaries, secret protection, code review gates, and safe sandbox configurations for team environments.
Delegate coding tasks to Aider (`aider`) only when the user explicitly requests it, while the orchestrator retains review and landing responsibility.
Reduce time-to-first-API-call (TTFAC) by optimizing every step of the developer onboarding journey. This skill covers authentication simplification, sandbox environments, interactive documentation, and identifying and eliminating common failure points.
Generates production-grade Appium mobile automation scripts for Android and iOS in Java, Python, or JavaScript. Supports real device and emulator testing locally and on TestMu AI cloud with 100+ real devices.
Ask which skill or flow fits your situation. A router over the user-invoked skills in this repo.
Build serverless applications on Azure Functions. Configure triggers, bindings, and deployment. Use when implementing serverless workloads on Azure.
Cross-version binary symbol migration: diff updated binaries, recover function names without PDBs, and propagate annotations after software updates using BinDiff-style tooling.
Architecture audit that maps module dependencies, checks layering integrity, and flags structural decay across a codebase, drawing on twelve classic engineering books.
Tech debt assessment that identifies, classifies, and prioritizes maintainability problems — helping teams build a refactoring roadmap — drawing on twelve classic engineering books.
Maintenance orchestrator for the brooks-lint plugin itself.
AI code reviewer grounded in classic software engineering books for catching design smells, coupling issues, and architectural risks.
PR code review that surfaces decay risks, design smells, and maintainability issues with concrete Symptom → Source → Consequence → Remedy findings, drawing on twelve classic engineering books.
Full-sweep mode: runs a unified analysis across all quality dimensions — code decay, architecture, tech debt, and test quality — then applies fixes directly to the codebase. Safe changes are auto-applied; risky changes are confirmed before execution.
Create release notes and product updates that developers actually read and care about. This skill covers changelog formatting, versioning communication, breaking change announcements, deprecation notices, and building anticipation for new features.
Delegate coding tasks to a separate Claude Code CLI process or Claude session only when the user explicitly requests it, while the orchestrator retains review and landing responsibility.
Delegate coding tasks to the Cline CLI (`cline`) only when the user explicitly requests it, while the orchestrator retains review and landing responsibility.
Control cmux workspaces, panes, surfaces, and agent sessions safely from macOS terminal workflows.
Authorized source-code security review and SAST workflows: Semgrep and CodeQL pattern hunting, dangerous API identification, and fix verification.
Conducts multi-axis code review. Use before merging any change. Use when reviewing code written by yourself, another agent, or a human. Use when you need to assess code quality across multiple dimensions before it enters the main branch.
Simplifies code for clarity. Use when refactoring code for clarity without changing behavior. Use when code works but is harder to read, maintain, or extend than it should be. Use when reviewing code that has accumulated unnecessary complexity.
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