Skill UI

A comprehensive mobile design skill enforcing mobile-first, touch-first, platform-respectful principles. It includes a feasibility risk index, mandatory thinking before work, reference reading requirements, and hard bans on performance, UX, and security anti-patterns. Ideal for designing or building mobile apps with optimal user experience and performance.

Administer, optimize, and secure MongoDB NoSQL databases in development and production. Covers installation, user setup, CRUD operations, indexing, aggregation pipelines, replica sets, and backup/restore.

A comprehensive guide for optimizing SEO indexing and managing crawl budget specifically for Next.js applications. Covers fixing Google Search Console coverage errors, implementing proper canonical tags, auditing sitemaps, managing static rendering, and optimizing internal linking for maximum search visibility.

A remote MCP server designed for AI agents to dynamically discover, inspect, and verify external tools, APIs, and services. It allows agents to search a curated index of AI-ready websites, check for machine-readable endpoints (like OpenAPI or MCP), and confirm if an endpoint responds correctly to JSON-RPC, enabling robust, dynamic agent workflow building.

Open Dynamic Workflows (ODW) is an advanced, open-source engine designed to manage complex coding tasks using multiple AI agents. It operates in three stages: planning the task into parallel subtasks, orchestrating various coding agents (like Codex or Antigravity) to work concurrently, and finally, performing an adversarial verification pass to challenge and validate the combined output before merging. It supports multiple model providers and is ideal for structured, high-reliability software development.

A comprehensive guide and methodology for identifying, measuring, and fixing performance bottlenecks across the entire stack. This skill covers optimizing database queries (e.g., N+1 problems, missing indexes), improving API efficiency (caching, parallel processing), and enhancing frontend performance (memoization, code splitting, image optimization). It emphasizes the critical 'Measure First' principle to ensure all optimizations are data-driven and effective.

Design efficient PostgreSQL schemas using best practices for data types, indexing, and constraints. Covers normalization, partitioning, and performance optimization for scalable database systems.

A guide to building robust projections and read models from continuous event streams. This pattern is essential for implementing CQRS read sides, creating materialized views, optimizing query performance, and building complex search indexes in event-sourced architectures. Use it when data needs to be transformed and aggregated from raw events into optimized query structures.

A comprehensive technical guide covering the entire lifecycle of Python packaging. It teaches developers how to structure, build, test, and distribute robust Python libraries using modern standards like pyproject.toml, generating wheels, and publishing artifacts reliably to PyPI or private package indexes. Ideal for creating reusable, professional-grade Python code.

This skill enables AI agents to search, import, and analyze video content using Memories.ai's Large Visual Memory Model. It provides persistent video intelligence, allowing videos to be indexed once and queried repeatedly. Supports social media import from TikTok, YouTube, and Instagram, meeting summarization, knowledge base building, and cross-video Q&A via Memory Augmented Generation. Ideal for analyzing video URLs, researching social media trends, and summarizing recordings.

This skill provides comprehensive diagnosis and optimization for agent skill libraries. By analyzing historical session transcripts from platforms like Claude Code and Codex, alongside static skill file checks, it scores each skill across 8 dimensions. It identifies issues such as low trigger rates, poor post-invocation user reaction, and incomplete workflow execution, generating a prioritized report (P0/P1/P2) to significantly improve the agent's overall performance and reliability.

A Python utility to preview conservative tool-name translations and copy complete local skill bundles for manual adaptation to Google Antigravity. Supports Claude Code, Cursor, Codex, and generic agent skill directories. Ensures safe migration with dry-run modes and workspace installation.