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typesafe-wiki

TypeSafe AI（typesafe.ai）官方文档离线 Wiki，覆盖 Jev System One 模型、Choice/Score/Noul 问题原语、state 结构与置信度、架构 Patterns、Python/JavaScript SDK、HTTP API 参考与 Cookbooks 示例；用于查询 TypeSafe API/SDK 的接入、用法与示例。

不用于其他 LLM 厂商 API、千问或百炼系列文档问题。

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chujianyun/skills
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Files included (141)

  • SKILL.md3.1 KB
  • agents/openai.yaml215 B
  • README.md780 B
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  • references/docs/Concepts/How to build with TypeSafe.md39.7 KB
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  • references/docs/Cookbooks/Autoresearch feature discovery.md69.4 KB
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  • scripts/search_docs.py3.8 KB
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SKILL.md (original)

Review the instructions the agent will receive before you install.

TypeSafe AI Wiki

使用随 Skill 打包的 Wiki 文档回答问题。离线文档是第一依据；只有本地材料不足、用户要求核对最新版或问题超出快照范围时，才补查规范来源。

资源

  • 文档索引：浏览完整主题结构或搜索词不确定时读取。
  • 来源与范围：回答版本、许可证、完整性或时效性问题时读取。
  • 更新协议：用户要求刷新、同步或自动更新本 Wiki Skill 时读取。
  • references/docs/：保持 Wiki 导航层级的 Markdown 正文；只读取与问题直接相关的文件。
  • references/wiki-manifest.json：页面来源、路径和逐文档 SHA-256 清单。
  • scripts/search_docs.py：零第三方依赖的本地全文检索。

回答工作流

  1. 从当前 SKILL.md 所在目录确定 Skill 根目录，不假设用户工作目录。

  2. 把问题提炼为 2–5 个关键词，保留产品名、类名、命令、包名和错误码。

  3. 运行：

    python3 <skill-root>/scripts/search_docs.py "<keywords>"

    搜索过宽时加 --prefix <directory>；没有结果时换同义词或旧/新术语重试一次。

  4. 读取排名最高且互相补充的 1–3 篇文档。需要理解主题全貌时再读索引，不一次加载全部语料。

  5. 根据已读资料给出直接结论、必要步骤和前置条件。版本、包名、导入路径、配置键和命令不能凭记忆补全。

  6. 文档不足或用户要求最新版时，只补查 references/SOURCE.md 指定的规范来源，并明确标为在线补充。

更新入口

用户要求更新本 Wiki Skill 时，完整阅读 更新协议。必须重新抓取完整范围到临时目录并先 dry-run；内容与元数据都没变化时保持正文、索引和清单原样。未经授权不得归档上游删页、创建后台任务、提交、推送或公开发布。

常见陷阱

  • 离线快照不天然代表最新版本；版本敏感问题先看来源边界。
  • 搜索无结果不等于功能不存在。更换产品术语、类名、命令或目录前缀后再判断。
  • 同一主题可能分散在概览、教程、参考和排障文档；必要时交叉读取。
  • 示例中的凭据只能当占位符，不读取、输出或写入用户真实密钥。
  • 清单中的来源 URL 只用于溯源，不能据此绕过登录或访问控制。

输出契约

回答至少包含：直接结论或可执行做法，以及 参考文档 列表（实际读取的 references/docs/... 相对路径）。快照可能过期、资料冲突或使用在线补充时再添加版本说明。证据不足时明确列出已搜索关键词和语料缺口，不编造答案。

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