productivity▌

Master Inngest event design and delivery patterns. Events are the foundation of Inngest - learn to design robust event schemas, implement idempotency, leverage fan-out patterns, and handle system events effectively.

Structured problem-solving through iterative reasoning with revision and branching capabilities. \n \n Break complex problems into sequential thought steps with dynamic scope adjustment as understanding evolves \n Revise previous conclusions and explore alternative reasoning paths from any point in the analysis \n Maintains full reasoning chain context throughout multi-stage analysis, design planning, or problem decomposition \n Ideal for tasks with initially unclear scope, interconnected reason

Production-grade computer vision expertise for image/video processing, object detection, model training, and inference optimization. \n \n Covers advanced architectures, real-time inference systems, and scalable data pipelines with distributed computing frameworks (Spark, Airflow, Kafka) \n Includes object detection optimization, model deployment strategies, and production monitoring with MLflow and Weights & Biases \n Supports PyTorch, TensorFlow, YOLO, and vision transformers with contain

Provides Apache Kafka and event streaming expertise specializing in scalable event-driven architectures and real-time data pipelines. Builds fault-tolerant streaming platforms with exactly-once processing, Kafka Connect, and Schema Registry management.

Comprehensive ecosystem of single-purpose JavaScript libraries for universal, runtime-agnostic development. \n \n Covers 50+ packages across HTTP frameworks (H3, Nitro), utilities (path, URL, hashing), storage, CLI tools, and build systems \n Supports multiple runtimes: Node.js, browsers, edge environments, Deno, Bun, and Cloudflare Workers \n Includes specialized tools for image processing, WebAssembly, PDF handling, QR codes, crypto, and database connectivity \n Designed for composability: lib

从主流新闻平台提取文章内容，输出 JSON 和 Markdown 格式。

Automate CRM workflows for HubSpot, Salesforce, and Pipedrive including lead management, deal tracking, pipeline automation, and multi-CRM synchronization. Based on n8n workflow templates.

Guides CTA button design for conversion. A well-designed CTA can increase conversion by 25–10%.

Framework for effective AI collaboration defining task decomposition, context management, abstraction selection, and automation philosophy. \n \n Divide complex tasks into small, independently verifiable steps; AI performs significantly better with clear, bounded instructions than large ambiguous requests \n Keep context fresh and single-purpose; use separate conversations for different topics and apply HANDOFF.md summaries when conversations grow long to prevent context drift \n Adjust abstract

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