Agent Skills Hub

ragcode-sse

Directly interface with RagCode MCP via SSE protocol without complex configuration files or binary dependencies.

b2c-marketing

Automate B2C mobile app marketing with short-form video strategies for TikTok, Instagram, and YouTube. Includes content creation, scheduling via Post Bridge API, and performance analysis.

core-principles

Architectural governance and project standards for React 19 SPA development, ensuring consistency in stack integration, project structure, and agent execution rules.

frontend-design

Build distinctive, production-grade frontend interfaces and web components with high aesthetic quality, avoiding generic AI design patterns.

roadmap-web-visualization

Visual web workspace for roadmap management, providing interactive kanban boards and graph-based dependency views for task planning and project progress tracking.

Advanced Modular Library Design

Design modular TypeScript libraries using HexDI principles: compile-time dependency validation, feature-first organization, and clean API boundaries.

moonbit-agent-guide

Expert guide for MoonBit development, including project scaffolding, modular layout, build tooling, and testing best practices.

openrouter-trending-models

Fetch and analyze current trending programming models from OpenRouter. Ideal for selecting models for reviews, optimizing AI costs, and staying updated on AI coding trends with real-time pricing and context window data.

query-writing

Writes, executes, and refines SQL queries, from basic selects to complex multi-table joins, aggregations, and subqueries for data retrieval and reporting.

clawsec-nanoclaw

Security advisory monitoring for NanoClaw WhatsApp bots, providing vulnerability scanning, skill safety checks, and integrity protection through MCP tools.

anthropic-api

Expert guidance for building production-ready applications with Anthropic's Claude API. Covers SDKs, prompt caching, batch processing, streaming, tool use, and cost optimization strategies.

context-fundamentals

Foundational guidelines for context engineering: optimizing token budgets, attention mechanics, and system architecture for AI agents.