What problem does it solve? Finding and administering WeCom (Enterprise WeChat) documents manually is slow: you need to locate docs by keyword or browsing history, rename them, grant member permissions, and configure link-join rules. This Skill wraps the wecom-cli doc management APIs so an AI agent can perform these public administration tasks directly from natural language requests. ## Core Features & Use Cases - Document Search: Search across doc, sheet, smartsheet, smartpage, PPT, collect forms, mind maps, flowcharts, journals, and PDFs with keyword tokenization, creator/visitor filters, time windows, sorting, and cursor-based pagination. - Rename Documents: Update the name of any doc, sheet, smartsheet, or smartpage by docid. - Member & Permission Management: Batch-add members with manager/edit/read roles and configure link-join rules for internal and external members. - Use Case: Ask "find the docs I browsed this week about the product roadmap" and the agent resolves your userid, runs a scoped search, and returns a clickable list of matching documents. ## Quick Start Ask the agent to search my recently viewed WeCom documents about the quarterly plan and list them as clickable links.