Search Skills

Provides unstyled, accessible UI primitives for dialogs, popovers, and dropdowns to build custom components with enhanced accessibility and composition in React.

Guides implementation of CQRS pattern to separate read and write operations, optimizing performance for read-heavy systems and enabling event sourcing.

Provides React i18n utilities for date/time formatting, locale-aware strings, and RTL/LTR support using ICU MessageFormat.

Provides keyboard focus management patterns for accessible web interfaces, including focus traps, roving tabindex, and skip links to meet WCAG standards.

Creates git commits with conventional commit format, branch protection checks, and pre-commit validation for standardized code changes.

Provides API mocking capabilities for frontend testing using MSW 2.x, enabling simulation of responses and errors in component tests.

Provides API integration patterns for real-time voice processing, speech-to-text, and text-to-speech using leading AI models and voice agents.

Adds curated documents to a golden dataset with multi-agent validation for testing and model training purposes.

Provides structured quality assessment with dimension breakdown, pros/cons, alternative comparisons, and improvement suggestions for code, designs, and technical approaches.

Automates security scanning for code dependencies and secrets, integrating vulnerability detection into CI/CD pipelines.

Provides implementation patterns for real-time data streaming in APIs using SSE, WebSockets, and ReadableStream for live updates and notifications.

Provides data visualization utilities for React applications using Recharts 3.x, featuring responsive charts, custom tooltips, animations, and accessibility.

Manages golden datasets for AI/ML systems, ensuring integrity through backup, restore, and validation to prevent data loss during evaluation.

Guides implementation of Redis caching patterns including write-through, write-behind, and cache-aside, with strategies for TTL management and cache stampede prevention.

Generates video demonstrations from terminal sessions using asciinema and VHS patterns, including editing and conversion.

Selects and mixes music and sound effects for tech demo videos, optimizing timing, volume, and emotional impact to enhance visual storytelling.

Provides durable, fault-tolerant workflow orchestration for long-running distributed applications and microservice coordination.

Builds RAG pipelines for generating grounded LLM responses by constructing context from retrieved documents and adding citations.

Automates synchronization of session context, decisions, and patterns to Mem0 for persistent AI agent memory across sessions.

Assists in pre-production video planning for tech demos using AIDA framework, scene templates, and shot sequencing to craft compelling narratives.

Enables dynamic workflow branching, retry loops, and state-based routing in LangGraph agent applications through conditional edge patterns.

Enables autonomous LLM reasoning through ReAct agent patterns and multi-step task execution workflows.

Customizes LLMs for specific domains using efficient fine-tuning techniques (LoRA, QLoRA, DPO) and synthetic data generation.

Optimizes video thumbnails and first frames for higher click-through rates using visual hierarchy, text rules, color psychology, and platform guidelines.