全部能力

Expert in building immersive scroll-driven experiences - parallax storytelling, scroll animations, interactive narratives, and cinematic web experiences. Like…

Edit and enhance images and videos with AI via muapi.ai — prompt-based editing, upscaling, background removal, face swap, lipsync, video effects, and more

Teaches resource preloading to prioritize critical assets. Use when critical resources like fonts, hero images, or key scripts are discovered late in the…

Teaches resource prefetching strategies for faster navigation. Use when you can predict which resources the user will need next and want to load them during…

Diagnose flat dialogue, same-voice characters, and lack of subtext. Use when conversations feel wooden, characters sound alike, or dialogue only does one thing…

Document database schemas, ERD diagrams, table relationships, indexes, and constraints. Use when documenting database schema, creating ERD diagrams, or writing table documentation.

Frames coding-agent work sessions with explicit intent capture and drift monitoring. Use when a session transitions from planning/Q&A to implementation for…

Guided onboarding and best practices for building applications with PowerSync — Cloud and self-hosted setup, sync configuration, client SDK usage, backend…

PDF generation from markdown via Pandoc/XeLaTeX. TRIGGERS - markdown for PDF, print document, pandoc

Build comprehensive design systems with components, patterns, and guidelines. Enable consistent design, faster development, and better collaboration across teams.

Use this skill for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semantic search. **Trigger when user asks to:** - Store or search vector embeddings in PostgreSQL - Set up semantic search, similarity search, or nearest neighbor search - Create HNSW or IVFFlat indexes for vectors - Implement RAG (Retrieval Augmented Generation) with PostgreSQL - Optimize pgvector performance, recall, or memory usage - Use binary quantization for large vector datasets **Keywords:** pgvector, embeddings, semantic search, vector similarity, HNSW, IVFFlat, halfvec, cosine distance, nearest neighbor, RAG, LLM, AI search Covers: halfvec storage, HNSW index configuration (m, ef_construction, ef_search), quantization strategies, filtered search, bulk loading, and performance tuning.

legal-advisor — an installable skill for AI agents, published by lotosbin/claude-skills.

Work with Keychron's source-available CAD hardware design files (STEP/DXF/PDF) for keyboards and mice, including scripting, inventory management, and 3D…

Build worlds through cascading consequences from speculative changes. Use when introducing new technologies, species, or alternate histories and need to trace…

E2E web testing with Playwright. Use when writing tests, debugging flakes, or setting up CI with selectors, sharding, and network mocking.

Comprehensive checklist for conducting thorough code reviews covering functionality, security, performance, and maintainability

Expert guidance for Fully Sharded Data Parallel training with PyTorch FSDP - parameter sharding, mixed precision, CPU offloading, FSDP2

Git Commit Rules

Implement real-time functionality using WebSockets, Server-Sent Events (SSE), or long polling. Use when building chat applications, live dashboards, collaborative editing, notifications, or any feature requiring instant updates.

Implement comprehensive security audit logging for compliance, forensics, and SIEM integration. Use when building audit trails, compliance logging, or security monitoring systems.