xby-extract-antv-topic

When an AI assistant tackles tasks across the AntV visualization stack (g2, g6, l7, x6, f2, s2, g, ava, adc), the bottleneck is rarely model quality — it is the absence of structured, context-rich documentation. xby-extract-antv-topic closes that gap by wrapping official AntV docs and code samples into a standard MCP protocol server, so the AI can pull precise technical context right from the conversation.

The workflow is a two-tool pipeline: extract_antv_topic acts as the preprocessing layer, scanning project dependencies, detecting the target library, extracting technical topics and user intent, and decomposing complex requests into manageable subtasks. query_antv_document then retrieves matching documentation snippets, code examples, and best practices from official AntV resources, supporting iterative lookups across subtasks. Whether the question is a one-line style tweak or a multi-chart interactive dashboard, every AntV query is treated with the same rigor, yielding answers grounded in authoritative sources.

If you are a frontend developer building data visualizations, infographics, or workflow diagrams with AntV, or a QA engineer validating chart rendering behavior, this plugin saves the constant context-switching between scattered web docs and turns your AI into a dedicated AntV documentation assistant.