Mobile

Implement Clean Architecture principles in Python to create maintainable, testable, and framework-independent applications. Use when designing new Python applications, refactoring existing code, or implementing domain-driven designs.

Coordinates multi-component releases, feature flags, versioning, and rollback strategies. Trigger terms: release management, release planning, release coordination, feature flags, canary deployment, progressive rollout, release notes, rollback strategy, release train, deployment coordination, versioning, changelog, release approval, deployment checklist. Manages complex release workflows: - Multi-component release coordination - Feature flag strategy and management - Versioning and changelog generation - Canary and blue-green deployments - Progressive rollout strategies - Rollback procedures - Release approval workflows - Post-release verification Use when: planning releases, coordinating multi-service deployments, managing feature flags, or generating release notes.

Internal skill. Use cc10x-router for all development tasks.

Coordinates multi-component releases, feature flags, versioning, and rollback strategies. Trigger terms: release management, release planning, release coordination, feature flags, canary deployment, progressive rollout, release notes, rollback strategy, release train, deployment coordination, versioning, changelog, release approval, deployment checklist. Manages complex release workflows: - Multi-component release coordination - Feature flag strategy and management - Versioning and changelog generation - Canary and blue-green deployments - Progressive rollout strategies - Rollback procedures - Release approval workflows - Post-release verification Use when: planning releases, coordinating multi-service deployments, managing feature flags, or generating release notes.

Build modern mobile applications with React Native, Flutter, Swift/SwiftUI, and Kotlin/Jetpack Compose. Covers mobile-first design principles, performance optimization (battery, memory, network), offline-first architecture, platform-specific guidelines (iOS HIG, Material Design), testing strategies, security best practices, accessibility, app store deployment, and mobile development mindset. Use when building mobile apps, implementing mobile UX patterns, optimizing for mobile constraints, or making native vs cross-platform decisions.

Implement Clean Architecture principles in Go to create maintainable, testable, and framework-independent applications. Use when designing new Go applications or refactoring existing Go codebases.

Process multimedia files with FFmpeg (video/audio encoding, conversion, streaming, filtering, hardware acceleration), ImageMagick (image manipulation, format conversion, batch processing, effects, composition), and RMBG (AI-powered background removal). Use when converting media formats, encoding videos with specific codecs (H.264, H.265, VP9), resizing/cropping images, removing backgrounds from images, extracting audio from video, applying filters and effects, optimizing file sizes, creating streaming manifests (HLS/DASH), generating thumbnails, batch processing images, creating composite images, or implementing media processing pipelines. Supports 100+ formats, hardware acceleration (NVENC, QSV), and complex filtergraphs.

Self-corrects skill and command instructions after resolving errors. Use when Claude errors during skill/command execution and finds a solution, or when user indicates a mistake was made. Finds the relevant instruction file and applies succinct fixes.

Apply systematic problem-solving techniques for complexity spirals (simplification cascades), innovation blocks (collision-zone thinking), recurring patterns (meta-pattern recognition), assumption constraints (inversion exercise), scale uncertainty (scale game), and dispatch when stuck. Techniques derived from Microsoft Amplifier project patterns adapted for immediate application.

Spec-first planning workflow that produces an approved plan.md before implementation, with reviewer subagent feedback and progress tracking. Use when a user asks for a plan-before-code process, a review-gated implementation plan, or a single plan.md that includes tasks and ongoing progress updates, with commits after each phase.

Write effective TableTest-style tests for data-driven testing in JUnit using either Java or Kotlin. The table format makes tests more readable, maintainable, and collaborative - treating test data as first-class documentation of system behaviour. Use it when testing the same logic with multiple input/output combinations, when you have 2+ similar test methods differing only in data values, when business rules involve multiple cases/examples, or when adding new test cases should be as simple as adding a table row. Use standard JUnit @Test when testing a single scenario, when test logic differs significantly between cases, when complex setup/teardown varies per test, or when mocking behaviour differs per test case.

Writes and edits content in Ben Swift's distinctive voice for any type of writing including blog posts, emails, technical documentation, and academic content. Use when the user wants writing in Ben's voice or style.

Implement vision-based AI chat capabilities using the z-ai-web-dev-sdk. Use this skill when the user needs to analyze images, describe visual content, or create applications that combine image understanding with conversational AI. Supports image URLs and base64 encoded images for multimodal interactions.

Teach concepts with resumable chunks, lineage tracking, and interrupt handling. Use when user asks to explain code, understand concepts, or learn on-the-go. Handles mid-explanation curiosity without losing context.

Expert in debugging React Native and Expo mobile applications. Covers React DevTools, Flipper, Chrome DevTools, network debugging, crash analysis, error boundaries, debugging native modules, remote debugging, breakpoints, console logging strategies. Activates for debugging mobile app, react native debugging, flipper, devtools, breakpoints, crash, error, remote debugging, network request debugging, console.log, debugger, react native debugger.

Spec-driven brainstorming and product discovery expert. Helps teams ideate features, break down epics, conduct story mapping sessions, prioritize using MoSCoW/RICE/Kano, and validate ideas with lean startup methods. Activates for brainstorming, product discovery, story mapping, feature ideation, prioritization, MoSCoW, RICE, Kano model, lean startup, MVP definition, product backlog, feature breakdown.

Expert in mapping SpecWeave increments to JIRA epics/stories/subtasks. Content flows SpecWeave→JIRA, status flows JIRA→SpecWeave. Handles export (increment → JIRA), import (JIRA → increment). Activates for JIRA sync, issue creation, import from JIRA.

Expert in bidirectional conversion between SpecWeave increments and Azure DevOps (ADO) Epics/Features/User Stories/Tasks. Handles export (increment → ADO), import (ADO → increment), and bidirectional sync with conflict resolution. Activates for ADO sync, Azure DevOps sync, work item creation, import from ADO.

Expert in Expo SDK 54+ development workflows, EAS Build, EAS Update, native tabs, Expo Router v6, expo-video, expo-audio, dev clients, expo-cli commands, app configuration, and deployment strategies. Activates for expo, expo go, eas build, eas update, expo config, app.json, eas.json, expo dev client, expo prebuild, expo eject, over-the-air updates, expo doctor, expo install, managed workflow, bare workflow, expo router, native tabs, liquid glass.

Human-supervised PDCA (Plan-Do-Check-Act) framework for AI-assisted code generation. Use when generating production code with AI agents to maintain quality, reduce technical debt, and keep humans engaged. Applies structured analysis, planning, test-driven development, validation, and retrospection to AI coding sessions. Essential for developers who need systematic approaches to maintain code quality and accountability when using AI code generation tools in complex codebases.