以证据为先的ECC当前状态研究工作流程。当用户希望基于当前公开证据和提供的本地上下文获取最新事实、比较、丰富信息或建议时使用。
npx skills add https://github.com/affaan-m/ECC --skill research-opsKopieren Sie diesen Befehl und fügen Sie ihn in Claude Code ein, um den Skill zu installieren
| name | research-ops |
| description | 以证据为先的ECC当前状态研究工作流程。当用户希望基于当前公开证据和提供的本地上下文获取最新事实、比较、丰富信息或建议时使用。 |
| origin | ECC |
当用户要求研究当前信息、比较选项、丰富人员或公司信息，或将重复查询转化为可监控的工作流时，使用此功能。
这是仓库研究栈的操作封装。它并非 deep-research、exa-search 或 market-research 的替代品；而是指示何时以及如何将它们结合使用。
在相关场景下，将这些 ECC 原生技能纳入工作流：
exa-search：用于快速发现当前网络信息deep-research：用于多源综合并附带引用market-research：当最终结果应为建议或排序决策时使用lead-intelligence：当任务针对人员/公司而非通用研究时使用knowledge-ops：当结果需持久存储于后续上下文时使用将任何提供的材料规范化为：
如果用户已构建部分模型，不要从零开始重新分析。
在搜索前选择正确的路径：
exa-search 进行快速发现deep-researchmarket-researchlead-intelligence对于重要声明，说明其属于：
对时效性敏感的答案应包含具体日期。
如果用户可能反复提出相同的研究问题，请明确说明，并建议采用监控或工作流层，而非永远重复相同的手动搜索。
问题类型
- 事实性 / 比较性 / 补充性 / 监控性
证据
- 有来源的事实
- 用户提供的上下文
推论
- 从证据中得出的结论
建议
- 答案或下一步行动
- 是否应将其设为监控项
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