agent-payments
Provides a payments-focused agent skill. The description does not identify payment providers or implementation capabilities.
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Find your next superpower If you are an agent, refer to our llms.txt for full access.Provides a payments-focused agent skill. The description does not identify payment providers or implementation capabilities.
Develops launch plans for new or refreshed brands, including internal introduction and public announcement. Supports soft launches, hard launches, and phased rollouts.
Explains how to create, structure, and publish self-contained Convex components. Covers component isolation, exports, and dependency management.
Supports multi-repository coordination, synchronization, and architecture management. Uses AI swarm orchestration to organize this work.
Guides golangci-lint setup and linter selection for Go projects. Covers adding static analysis checks to CI/CD pipelines and establishing code-quality checks for new projects.
Uses @json-render/ink to render JSON specifications as interactive terminal UIs. Covers terminal component catalogs and rendering AI-generated specifications in the terminal.
Identifies an explicit /parallel-task command as its only activation method. The description does not specify the tasks performed or execution behavior.
Covers PyTorch, OpenCV, YOLO, SAM, diffusion models, and vision transformers. Supports custom model training, 3D vision, video analysis, real-time processing, inference optimization, and production deployment.
Serves as the entry point for building, editing, validating, testing, and debugging workflows through n8n MCP. Provides tool knowledge and specialist routing for nodes, expressions, code, credentials, and production reliability.
Guides application runtime development using CloudBase Event Functions and HTTP Functions. Covers building, deploying, and debugging custom function code.
Explains JavaScript compression techniques using Gzip and Brotli. Covers optimizing network transfer times and configuring server-side compression for production builds.
Performs semantic searches across all Getnote notes or a specified knowledge base using natural language. Returns actual note titles, summaries, string IDs, and links that open the matching notes.
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