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Problem Navigator v2.1.0
Problem Navigator v2.1.0
English
Problem Navigator's first public release provides a general-purpose problem-analysis workflow built from shared skills and a local Python/MCP research core. It supports GENERAL and PRODUCT_SOFTWARE work, from clarification and research through decisions and solution design, ending in reports, PRDs, or technical specifications.
- 9 skills coordinate the workflow; 4 MCP tools provide
web_research_status,web_search,web_fetch, andweb_map. - One download:
problem-navigator-2.1.0.zip, with checksum fileproblem-navigator-2.1.0.zip.sha256. The bundle contains one shared core, English/Chinese instructions, and optional Codex integration metadata. - MIT licensed. License and attribution are included as
LICENSEandNOTICE.md.
Use Python 3.11+ and uv. Keep skills/ and mcp/ together after extraction; follow README.md and HOST_INSTRUCTIONS.md. The full workflow requires an AI host that can load complete skill files and references, read/write local artifacts, execute Python helpers, and obtain clarification and document acceptance. It ends at analysis/design, without implementation or deployment.
The MCP server uses local stdio. MCP-only access exposes the four research tools, not the complete workflow; remote-HTTP-only clients cannot connect directly. The bundle does not imply universal one-click installation or verified end-to-end behavior in every host.
Public Web research requires your own Brave, Exa, or Firecrawl API keys for the chosen routes. Authorized queries, URLs, and filters go to the selected provider; applicable provider and host/model charges are yours. NONE research needs no provider keys or research network calls; initial dependency downloads and host/model connectivity are separate.
中文
这是 Problem Navigator 的首个公开 Release。项目由共享技能与本地 Python/MCP 研究核心组成,支持 **GENERAL(通用问题)**和 PRODUCT_SOFTWARE(产品/软件问题),覆盖澄清、调研、决策与方案设计,交付报告、PRD 或技术规格。
- 9 个技能协同工作流;4 个 MCP 工具为
web_research_status、web_search、web_fetch、web_map。 - 只需一个包:
problem-navigator-2.1.0.zip,附校验文件problem-navigator-2.1.0.zip.sha256。包内包含一份共享核心、中英文说明和可选 Codex 集成元数据。 - **采用 MIT 许可证。**许可与署名见包内
LICENSE、NOTICE.md。
需要 Python 3.11+ 和 uv。解压后保持 skills/ 与 mcp/ 同根,按照 README.zh-CN.md 和 HOST_INSTRUCTIONS.md 使用。完整工作流要求 AI 宿主能够完整加载技能及引用、读写本地产物、执行 Python 工具,并进行澄清与文档接受。工作流止于分析和设计,不执行实现或部署。
MCP 服务使用本地 stdio。仅接入 MCP 会得到四个研究工具,不会自动获得完整工作流;仅支持远程 HTTP 的 MCP 客户端不能直接连接。单一发行包不代表所有宿主都可一键安装或已完成端到端验证。
公开网页研究需要为所选路由提供自己的 Brave、Exa 或 Firecrawl API 密钥。经授权的查询、URL 与过滤条件会发送至所选服务商,适用的服务商及宿主/模型费用由用户承担。NONE 研究无需服务商密钥,也不发起研究网络调用;首次依赖下载与宿主/模型连接另行适用。