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Token-efficient tracking for AI orchestration. CLI-first for status updates (~50 tokens), agent fallback for complex ops (~1KB). Use when: updating task status, querying blockers, creating progress files, validating phases.
AshAi extension guidelines for integrating AI capabilities with Ash Framework. Use when implementing vectorization/embeddings, exposing Ash actions as LLM tools, creating prompt-backed actions, or setting up MCP servers. Covers semantic search, LangChain integration, and structured outputs.
This skill should be used when solving hard questions, complex architectural problems, or debugging issues that benefit from GPT-5 Pro or GPT-5.1 thinking models with large file context. Use when standard Claude analysis needs deeper reasoning or extended context windows.
Based on SOC occupation classification
| name | translate-it-article |
| description | 专业IT技术文章翻译工具，将英文技术文档、博客文章、学术论文翻译成通俗易懂、引人入胜的简体中文，并保持格式完整保存到本地。 |
| license | MIT |
| allowed-tools | ["WebFetch","Read","Write","mcp__filesystem__write_file","mcp__filesystem__read_file"] |
当用户需要翻译IT技术文章时，使用以下调用方式：
/translate-it-article [英文文章URL]
或
/translate-it-article [直接粘贴英文文章内容]
或
/翻译it文章 [英文文章URL]
或
/翻译it文章 [直接粘贴英文文章内容]
或
/translate-it-article [英文文章URL]
或
/translate-it-article [直接粘贴英文文章内容]
当用户提出以下需求时，使用此skill：
输入英文技术文章URL或直接粘贴英文文章内容，系统将自动：
人工智能 (Artificial Intelligence)AI 或 人工智能**（注释内容）** 格式[原文件名]_zh.md[网站名称]_[文章标题]_zh.md翻译文章_[日期时间]_zh.md# [翻译后的文章标题]
**原文链接**: [原始URL]
**翻译时间**: [翻译日期]
**文章类型**: [技术博客/学术论文/新闻资讯]
---
[翻译后的文章内容，保持完整格式]
## Machine Learning in Production
Deploying ML models at scale requires careful consideration of latency, throughput, and monitoring.
## 生产环境中的机器学习应用
大规模部署机器学习模型时，需要仔细考虑延迟、吞吐量和监控等关键因素。
💡 提示：此技能专注于技术文章的高质量翻译，确保技术准确性的同时提升中文读者的阅读体验。
This skill supports both Chinese and English commands:
/翻译it文章/translate-it-article/it-translate