Results for “document-query”

Builds document question-answering systems with PDF parsing, context retrieval, and answer generation

Searches the aem.live documentation for information on AEM Edge Delivery Services features, then fetches and reads full page content for detailed guidance.

Search Notion pages, synthesize findings, and publish structured briefs, summaries, comparisons, or reports with citations and source links.

Runs a structured interview that stress-tests a plan against the project's domain model, sharpens terminology, and updates CONTEXT.md and ADRs inline as decisions are made.

Write clear, searchable help center articles and FAQ entries based on support data, product documentation, and common customer questions. Use when the user requests knowledge base article writing or provides relevant inputs for this workflow.

This skill allows the assistant to fetch documentation for various libraries and packages directly from the web. It supports searching by package name (e.g., npm, pip) or directly by URL. Use it whenever you need to understand how to use a specific programming library, API, or framework.

Search, read, create, and update Notion pages and databases. Supports knowledge capture, meeting prep, research documentation, and spec-to-task workflows.

Apply findings from a document-health-review report by updating, merging, splitting, moving, archiving, deleting, and repairing references for repository documents. Use when a user wants to execute approved document cleanup recommendations.

飞书云文档（Docx / Wiki）内容操作：读取、创建、编辑文档，插入或下载图片附件，以及操作思维笔记。用户提供文档 URL/token（包括 doubao.com 的 /docx/、/wiki/）时使用；按 URL 路径/token 而非域名路由。文档内嵌资源按读取参考中的统一规则分流。独立评论操作走 lark-drive；随正文读取评论使用 docs +fetch。表格或 Base 内部数据操作不在本 skill。

Invoke parallel document-specialist agents for external web searches and documentation lookup

Generates a three-column technical documentation page with side navigation, article body, and sticky table of contents.

Query official Microsoft documentation to find concepts, tutorials, and code examples across Azure, .NET, Agent Framework, Aspire, VS Code, GitHub, and more.

Create, retrieve, query, and update Artifacts — tangible deliverables produced by the project. Use when storing or retrieving documents, designs, datasets, build outputs, slide decks, or any completed deliverable that should be registered in the project catalog.

Turns a local folder into a searchable, maintainable knowledge base for AI agents, handling setup, navigation, content ingestion, querying, and health checks without external databases or RAG systems.