agent-architecture
Implement production-grade AI agents with LangGraph, tool-calling guardrails, SSE streaming, and episodic memory. Includes anti-patterns, fix pairs, and stateful architecture patterns.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
428 skills found
Implement production-grade AI agents with LangGraph, tool-calling guardrails, SSE streaming, and episodic memory. Includes anti-patterns, fix pairs, and stateful architecture patterns.
Quick reference for pipe and flow in fp-ts. Use to chain functions, compose operations, or build clean, readable data pipelines in functional TypeScript code.
Automates the generation and synchronization of localized translation strings for Payload CMS core packages and plugins.
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.
Integration patterns and best practices for TanStack Query, Router, and Start. Ensures type-safe data flow, efficient SSR, and unified caching.
Build and manage custom Expo development clients for native module development using EAS Build and TestFlight.
A professional UI/UX design guide for web and mobile. Features 50+ styles, 99 UX guidelines, and 97 color palettes. Supports multi-stack recommendations for React, Vue, Next.js, and more.
A multi-paradigm ETL pipeline agent supporting batch and streaming data processing, schema inference, and configurable DAG-based transformations for heterogeneous data sources.
Automates the creation and maintenance of CLAUDE.md files. It monitors codebase evolution and keeps project memory in sync with file changes, structure, and build commands.
A runtime skill discovery engine for AI agents. Search and retrieve specialized agent skills (SKILL.md) on-demand via REST API or MCP to inject procedural knowledge into your agent's context.
Expert guidance for Django asynchronous task processing with Celery. Best practices for task design, worker configuration, error handling, periodic tasks, and production monitoring.
Standardized Java development guidelines including naming conventions, exception handling, Spring Boot best practices, and concurrency patterns.