swift-concurrency
Diagnose data races, convert callback-based code to async/await, implement actor isolation patterns, resolve Sendable conformance issues, and guide Swift 6 migration. Use when developers mention: (1) Swift Concurrency, async/await, actors, or tasks, (2) "use Swift Concurrency" or "modern concurrency patterns", (3) migrating to Swift 6, (4) data races or thread safety issues, (5) refactoring closures to async/await, (6) @MainActor, Sendable, or actor isolation, (7) concurrent code architecture or performance optimization, (8) concurrency-related linter warnings (SwiftLint or similar; e.g. async_without_await, Sendable/actor isolation/MainActor lint).
aesthetic
Create aesthetically beautiful interfaces following proven design principles. Use when building UI/UX, analyzing designs from inspiration sites, generating design images with ai-multimodal, implementing visual hierarchy and color theory, adding micro-interactions, or creating design documentation. Includes workflows for capturing and analyzing inspiration screenshots with chrome-devtools and ai-multimodal, iterative design image generation until aesthetic standards are met, and comprehensive design system guidance covering BEAUTIFUL (aesthetic principles), RIGHT (functionality/accessibility), SATISFYING (micro-interactions), and PEAK (storytelling) stages. Integrates with chrome-devtools, ai-multimodal, media-processing, ui-styling, and web-frameworks skills.
context-engineering
Master context engineering for AI agent systems. Use when designing agent architectures, debugging context failures, optimizing token usage, implementing memory systems, building multi-agent coordination, evaluating agent performance, or developing LLM-powered pipelines. Covers context fundamentals, degradation patterns, optimization techniques (compaction, masking, caching), compression strategies, memory architectures, multi-agent patterns, LLM-as-Judge evaluation, tool design, and project development.
hugging-face-trackio
Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, alerts with webhooks, HF Space syncing, and JSON output for automation.
web-design-guidelines
Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against best practices".
vercel-react-best-practices
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
create-new-skills
Creates new Agent Skills for Claude Code following best practices and documentation. Use when the user wants to create a new skill, extend Claude's capabilities, or package domain expertise into a reusable skill.
app-store-preflight-compliance
Pre-submission compliance scanner workflow for Apple App Store apps. Use when reviewing iOS, macOS, tvOS, watchOS, or visionOS projects (Swift, Objective-C, React Native, Expo) for App Store rejection risks, submission readiness, privacy compliance, or guideline violations.
greenlight
Pre-submission compliance scanner for Apple App Store. Use this skill when reviewing iOS, macOS, tvOS, watchOS, or visionOS app code (Swift, Objective-C, React Native, Expo) to identify potential App Store rejection risks before submission. Triggers on tasks involving app review preparation, compliance checking, App Store submission readiness, or when a user asks about App Store guidelines.
financial-model-review
Investor-first workflow for reviewing an existing financial model, forecast, or sensitivity analysis. Use for prompts like "review this model", "stress test these assumptions", "what breaks in this forecast", or "is this model decision-ready". Best when you have a spreadsheet export, pasted assumptions, key drivers, and the decision the model supports. Optional Open Brain search and capture can pull prior model context and store the final review memo.
auto-capture
Automatically capture ACT NOW items and a session summary to Open Brain when a work session is ending. Use when wrapping a brainstorm, parking a project, finishing a Panning for Gold run, or otherwise closing a session with decisions worth remembering. Use the Open Brain capture tool available in the current client (often named `capture_thought`; prefixes vary by connector). This is a behavioral protocol, not a background hook.
meeting-synthesis
Workflow for turning meeting transcripts or notes into decisions, action items, unresolved questions, risks, and follow-up artifacts. Use for prompts like "summarize this meeting", "extract action items", "what did we decide", or "draft the follow-up". Best when you have notes or a transcript, attendee context, and the reason the meeting happened. Optional Open Brain search and capture can pull surrounding context and store the final synthesis or decisions.
panning-for-gold
Use when processing voice transcripts, brain dumps, stream-of-consciousness notes, or any raw multi-topic capture. Extracts every idea thread, then evaluates each one with deep brainstorming, then captures results to Open Brain. Trigger on transcripts, exports, "process this", "pan for gold", "brain dump", "what did I say", or multi-topic markdown files.
claudeception
Continuous learning system that extracts reusable knowledge from work sessions. Triggers: (1) /claudeception command, (2) 'save this as a skill' or 'extract a skill from this', (3) 'what did we learn?', (4) after non-obvious debugging or trial-and-error discovery. Creates new skills when valuable reusable knowledge is identified. Integrates with Open Brain to prevent duplicates.
research-synthesis
Decision-grade workflow for synthesizing a source set into clear findings, contradictions, confidence markers, gaps, and next questions. Use for prompts like "synthesize these sources", "turn this research into a brief", "what are the key findings", or "where do these sources disagree". Best when you have a research question, a defined audience, and a set of source materials. Optional Open Brain search and capture can pull prior context and store the final synthesis.
experiment-failure-analysis
Systematically analyze experiment failures and optimization setbacks to identify root causes and define validation plans before abandonment decisions.
