xby-atlas-docs
Run the following command in DeepSeek Harness:
dsh plugin install xby-skill/xby-atlas-docs
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install xby-skill/xby-atlas-docs in DeepSeek Harness to install this plugin, available at https://github.com/xby-skill/xby-atlas-docs
About this plugin
One of the biggest pain points when relying on AI coding assistants is the gap between the frozen API knowledge baked into training data and the constantly evolving documentation of real libraries. xby-atlas-docs closes that gap by converting official library and framework docs into LLM-friendly Markdown in real time, so your assistant can consult up-to-date references during a conversation instead of guessing from stale memory.
The plugin offers a complete documentation retrieval pipeline: start with list_docs to discover all available documentation sets, then narrow down with search_docs for keyword-level precision or get_docs_index for a structured overview of what is covered. Once you identify the right page, get_docs_page returns its full content, while get_docs_full pulls the entire documentation set at once for comprehensive context. Every tool keys off a docName and relative path, keeping the call flow intuitive and predictable.
If you work daily with MCP-compatible clients such as Cursor, Cline, or Windsurf and frequently touch on front-end frameworks, back-end SDKs, or cloud-service APIs, this plugin shifts your AI assistant from writing code from memory to writing code with live documentation in hand, sharply reducing hallucinated references and version mismatches.
Use Cases
- Look up the latest API reference for a target framework in real time while coding, avoiding stale signatures
- Debug errors caused by framework version differences by quickly locating the relevant parameter docs and changelog
- Explore the full documentation index of a new project to build a holistic understanding quickly
Best For
- Developers who work daily with MCP-compatible clients such as Cursor, Cline, or Windsurf
- Engineers who frequently integrate front-end frameworks, back-end SDKs, or cloud-service APIs
- Teams that want their AI assistant to generate code based on live documentation rather than outdated training memories
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