Show HN: Interview your analysts instead of auto-generating a semantic layer
I’ve spent the last year building context for AI analysts in the mid-market. I’ve open sourced a library from my learnings, along the same principles of the Matt Pocock skills. Principles: * Claude / Codex / Cursor etc are great data agents - you just need context to enable them to answer business questions correctly. * Much of the important context lives in analysts heads' * Context must be maintainable (short, human readable - markdown and yaml) * Added context should be load bearing, not repe
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来源记录
指标快照
points · 5 votes
2026-10-29 01:45:32.757Z
cumulative since publication
研究分析
项目记录
仓库：nodal-data/nodal-context。 来源描述：I’ve spent the last year building context for AI analysts in the mid-market. I’ve open sourced a library from my learnings, along the same principles of the Matt Pocock skills. Principles: * Claude / Codex / Cursor etc are great data agents - you just need context to enable them to answer business questions correctly. * Much of the important context lives in analysts heads' * Context must be maintainable (short, human readable - markdown and yaml) * Added context should be load bearing, not repe
采用记录与比较对象
来源票数: 5 votes (2026年10月29日 UTC; cumulative since publication)；前次同口径记录为 4（2026年10月28日 UTC），两个观测值不等于需求增长。 可供比较的近期同类记录：“google/skills” (GitHub Trending, 2026年11月6日)；“mattpocock/skills” (GitHub Trending, 2026年11月6日)。主题相近仅用于导航，未核验其是否属于同一需求或独立证据。
采用判断
应与它要替代的工具或人工流程比较。现有记录支持发现项目，尚不能确认可靠性、运行成本优势或商业采用。
尚未核验的门槛
尚未核验：许可证权限、硬件要求、安装步骤、维护状态，以及包含失败样例的代表性任务。
下一步试验
选择一个真实任务和现有替代方案，记录 commit、环境、输入、输出、耗时与失败行为；保留结果后再给出采用建议。