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flow-nexus-platform

Comprehensive management for the Flow Nexus platform, covering user authentication, sandbox execution, app deployment, credit management, and gamified challenges.

Introduction

The Flow Nexus platform management skill provides a robust interface for interacting with the Flow Nexus ecosystem. Designed for developers, platform engineers, and system administrators, this toolset facilitates the full lifecycle management of cloud-based applications and user services. Whether you are managing individual user profiles, configuring execution environments, or orchestrating app store deployments, this skill offers programmatic control to streamline your infrastructure operations.

  • Authentication & User Management: Complete suite for handling user registration, login status, secure password resets, and user profile updates including tier upgrades and statistical tracking.
  • Sandbox Management: Advanced sandbox environment lifecycle control, supporting multiple templates such as node, python, react, nextjs, and claude-code. Perform real-time code execution, file uploads, log monitoring, and resource configuration.
  • App Store & Deployment: Browse, search, and manage application deployments with deep links to templates and infrastructure configurations for rapid project setup.
  • Payments & Credits: Integrated management for platform-wide credits and billing tiers to ensure resource availability for compute-heavy tasks.
  • Gamification: Track and manage platform challenges, user achievements, and competitive performance metrics within the Flow Nexus network.

Usage Notes:

  • The skill utilizes mcp__flow-nexus__ prefixed commands for all API interactions, ensuring strict compatibility with the underlying platform architecture.
  • Sandbox execution is highly configurable via env_vars and startup_script parameters; ensure target environment matches requirements (e.g., node vs python).
  • For security, always validate user_id inputs when performing sensitive operations like profile updates or tier upgrades.
  • The API supports real-time logging and monitoring for sandboxes, making it ideal for debugging asynchronous cloud functions and automated agentic workflows.
  • Inputs typically involve JSON configuration objects, while outputs provide status updates, transaction tokens, or diagnostic logs for further analysis.

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