1c-ai-guide 是做什麼的？
1C AI 實用指南：MCP、Agent Skills、OData、安全性及經過驗證的使用案例
1C AI 實用指南：MCP、Agent Skills、OData、安全性及經過驗證的使用案例
此技能提供了一份全面的實用指南，專為將 AI 功能整合到 1C 企業平台中。它涵蓋了 Model Context Protocol (MCP) 以實現結構化的 AI 互動、用於擴展 AI 能力的 Agent Skills、通過 OData 進行資料訪問以及安全最佳實踐。該指南旨在幫助開發者利用經過驗證的場景，安全高效地將 AI 代理部署到 1C 環境中。它支援 Claude Code、Cursor 和 Codex 等平台，為 AI 驅動的 1C 開發提供了清晰的路線圖。
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1C AI 實用指南：MCP、Agent Skills、OData、安全性及經過驗證的使用案例
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.