research-ops
面向 ECC 的证据优先现状研究工作流。当用户希望基于当前公开证据及所提供的本地上下文获取最新事实、比较、补充信息或建议时使用。
机器翻译查看英文原文
Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.
适用对象:学习与科研。自动收录 · 待核查。
原作者说明节选
从固定版本的 SKILL.md 提取,保留原文语言。以下内容属于作者说明,本站尚未验证安装、兼容或运行结果。
查看英文原文
原文涵盖的主题
- Research Ops
- Skill Stack
- When to Use
- Guardrails
- Workflow
- 1. Start from what the user already gave you
- 2. Classify the ask
- 3. Take the lightest useful evidence path first
Use this when the user asks to research something current, compare options, enrich people or companies, or turn repeated lookups into a monitored workflow. This is the operator wrapper around the repo's research stack. It is not a replacement for deep-research, exa-search, or market-research; it tells you when and how to use them together. Pull these ECC-native skills into the workflow when relevant: exa-search for fast current-web discovery deep-research for multi-source synthesis with citations market-research when the end result should be a recommendation or ranked decision lead-intelligence when the task is people/company targeting instead of generic research knowledge-ops when the result should be stored in durable context afterward user says "research", "look up", "compare", "who should I talk to", or "what's the latest" the answer depends on current public information the user already supplied evidence and wants it factored into a fresh recommendation the task may be recurring enough that it should become a monitor instead of a one-off lookup do not answer current questions from stale memory when fresh search is cheap separate: sourced fact user-provided evidence inference r
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- 来源仓库
- affaan-m/ECC
- 源文件
- skills/research-ops/SKILL.md
- 固定版本
- d2ef2680594f9a17526a6e1a2e18b3d242c5d17b
来源与内容状态
本条为自动发现的元数据,尚未完成人工文档核查;适用性与运行结果待核查。
原作者:affaan-m/ECC · 原作者仓库元数据。文档核查:未核查。最近来源检查:2026-11-09T16:01:00.460Z。
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限制与注意事项
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