# What this brief covers This summarizes the Syncfusion Onboarding Skill for AI coding agents and how one prompt can prepare an agent to generate Syncfusion-aware code. The onboarding flow detects the project platform, installs a matching skill pack, checks MCP and licensing, and returns a concise setup report so you can ask the agent to start building.
# One prompt to start Syncfusion onboarding Give the agent this prompt: "Set up this project for Syncfusion before generating code. Fetch and follow the official instructions at https://ai.syncfusion.com, then report the detected platform, installed skill pack, MCP status, and any required licensing action." The prompt points the agent to the official onboarding instructions and standardizes the starting point across projects and teams.
# What the onboarding flow does The agent follows these steps automatically after receiving the prompt:
- Installs the appropriate Syncfusion Agent Skill pack for the detected platform.
- Checks MCP (Model Context Protocol) status and whether MCP integration is configured.
- Evaluates licensing requirements and reports any required actions.
- Produces a setup report listing detected platform, installed skill pack, MCP status, and licensing actions.
# Practical example: React DataGrid
# Why give your agent Syncfusion context first AI coding agents often rely on pretrained knowledge that may not reflect the latest product-specific packages, APIs, or configuration. Installing Syncfusion Agent Skills provides structured, current guidance for components, packages, setup steps, implementation patterns, and known limitations. That reduces incorrect package choices, outdated API suggestions, or missing configuration so you spend less time fixing avoidable errors.
# Licensing and access You can install and explore Syncfusion Agent Skills without a Syncfusion account, product license, license key, or MCP key. That lets agents complete onboarding without handling license credentials. However, standard Syncfusion product licensing still applies when you use components in an application. The onboarding flow reports any licensing action required so teams can address it early in the development cycle.
# How this fits into agent workflows Use the onboarding prompt as the first interaction when an agent will touch Syncfusion code. It creates a consistent starting point across projects and teams, so agents don't guess platform or package choices. Once the skill pack is installed, ask the agent to implement specific features or components and review generated code as usual.
# Bottom line One short prompt is an efficient way to give an AI coding agent the Syncfusion-specific context it needs before it writes code: platform detection, skill pack installation, MCP and licensing checks, and a clear setup report that lets you proceed with focused, platform-aware development.