research-prompt
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Translation
ChineseResearch Prompt
研究提示词
Goal: turn a vague research need into ONE self-contained paragraph that a researcher with zero prior knowledge of the project can act on with zero back-and-forth.
目标:将模糊的研究需求转化为一段独立完整的段落,让完全不了解项目的研究员无需反复沟通即可直接开展工作。
Rules
规则
- One paragraph. No headers, no bullet list in the deliverable.
- Prompt the job, not the topic. Give search handles (timeframe, ranking, source type, decision logic) — not just a subject.
- Assume zero prior knowledge. Write for a researcher who has never heard of the project. Open by explaining, in plain English, what the project/product is, why it exists, and the current situation — so they understand what's going on, what we need, and why we need it.
- Lead with the goal + decision. Right after that explainer, state the single question the research must answer and the decision/use it informs.
- Embed all context. Names, dates, product, prior known facts, constraints. The researcher must not need to ask anything or guess.
- Number the sub-questions inline (1, 2, 3…) so coverage is explicit. Keep to 3–6. One mission per prompt — don't cram unrelated questions.
- State constraints. What to include, what to avoid (e.g. "only non-Chinese competitors", "no marketing fluff").
- Source hierarchy. Prefer primary sources (official docs, GitHub, papers, filings, changelogs); forums/X/Reddit are weak signal only, never factual proof.
- Contradiction handling. If sources conflict, separate confirmed facts / inference / unresolved uncertainty — don't force fake consensus. Flag low-confidence claims for verification.
- Completion bar (define "done"). Don't stop at the first plausible answer. Corroborate each key claim with multiple independent primary sources where they exist; where sources are scarce, say so explicitly instead of padding. Keep going until every numbered sub-question is covered to this bar.
- Gap round before finishing. Require a final self-critique pass: list gaps, contradictions, and any single-source claims, then run another round of searches to close them — repeat until clean.
- Constrain output hard, method loosely. Be strict on the deliverable; leave the search path flexible so the researcher can explore.
- Demand a fixed output per finding: source link + specific claim + one-line "why it matters / why a viewer should care".
- Verifiable, citable facts only. No opinions.
- Last sentence: instruct them to output everything into a single detailed markdown file.
- 单段落呈现:交付内容中不得包含标题或项目符号列表。
- 明确任务而非仅主题:提供搜索指引(时间范围、优先级、来源类型、决策逻辑)——而非仅仅给出研究主题。
- 假设对方毫无背景知识:面向从未听说过该项目的研究员撰写内容。开头用通俗易懂的语言解释项目/产品是什么、存在的原因以及当前状况——让他们清楚了解背景、需求及需求产生的原因。
- 先说明目标与决策用途:在背景解释之后,立即明确研究必须解答的核心问题,以及该研究结果将用于何种决策/用途。
- 嵌入所有背景信息:包含名称、日期、产品信息、已知事实、约束条件等。研究员无需提问或猜测任何信息。
- 在段落内嵌入编号子问题(1、2、3……),确保覆盖范围清晰明确。子问题数量控制在3-6个。每个提示词仅对应一项核心任务——不要塞入无关问题。
- 明确约束条件:说明需要包含和避免的内容(例如:「仅研究非中国竞品」、「排除营销话术」)。
- 来源优先级:优先使用一手来源(官方文档、GitHub、学术论文、备案文件、更新日志);论坛/X/Reddit仅作为弱信号参考,绝不能作为事实依据。
- 矛盾处理方式:若来源信息存在冲突,需区分已确认事实、推断内容、未解决的不确定性——不要强行捏造共识。对低可信度的结论标记待验证。
- 完成标准(定义「完成」):不要满足于第一个看似合理的答案。对于每个关键结论,尽可能通过多个独立的一手来源进行佐证;若来源稀缺,需明确说明,而非填充无关内容。持续推进直至所有编号子问题都达到该标准。
- 收尾前的漏洞排查:要求进行最终的自我审查:列出信息缺口、矛盾点以及仅基于单一来源的结论,然后再次搜索填补这些漏洞——重复此过程直至内容严谨无误。
- 严格约束输出格式,灵活处理研究方法:对交付内容的格式要求严格,但允许研究员灵活选择搜索路径以开展探索。
- 要求每个研究发现采用固定输出格式:来源链接 + 具体结论 + 一行「重要性说明/读者为何需要关注」。
- 仅包含可验证、可引用的事实,不得加入主观观点。
- 最后一句话:指示他们将所有内容输出到一个详细的markdown文件中。
Process
流程
- Pull context from the relevant project files / conversation (dates, names, known facts, audience, end use), and write a 1–2 sentence plain-English explainer of what the project is and why it exists for a reader who knows nothing.
- Identify the ONE question the research answers.
- Draft 3–6 numbered sub-questions that fully cover it.
- Add include/avoid constraints + the per-finding output format.
- Compress to one clean paragraph. Cut filler.
- 从相关项目文件/对话中提取背景信息(日期、名称、已知事实、受众、最终用途),用1-2句通俗易懂的语言向完全不了解项目的读者解释项目是什么以及存在的原因。
- 确定研究需要解答的核心问题。
- 草拟3-6个编号子问题,全面覆盖核心问题。
- 添加包含/排除的约束条件以及每个研究发现的输出格式要求。
- 压缩成一段简洁的段落,删除冗余内容。
Template
模板
[For a reader with zero prior knowledge: in 1–2 plain-English sentences, what the project/product is, why it exists, and the current situation.] Research [TOPIC + key identifying facts] to answer one question: [THE QUESTION] — for [DECISION / END USE]. Find: (1) …; (2) …; (3) …; (4) …. [Constraints: include X, avoid Y.] Prefer primary sources; treat forums/social as weak signal only; if sources conflict, separate fact from inference and flag what needs verification. Don't stop at the first plausible answer: corroborate each key claim with multiple independent primary sources where they exist (and say so explicitly where they don't), continuing until every numbered question is covered to that bar. Before finishing, do a self-critique pass — list gaps, contradictions, and any single-source claims, then run another round of searches to close them, repeating until clean. For each point, give the source link, the specific claim, and a one-line "why it matters". No marketing fluff — verifiable, citable facts only. Output everything into a single detailed markdown file.
[面向毫无背景知识的读者:用1-2句通俗易懂的语言说明项目/产品是什么、存在的原因以及当前状况。] 针对[主题 + 关键识别信息]开展研究,以解答核心问题:[核心问题]——服务于[决策/最终用途]。需查明:(1) ……;(2) ……;(3) ……;(4) ……。[约束条件:包含X,排除Y。] 优先使用一手来源;论坛/社交媒体仅作为弱信号参考;若来源信息冲突,需区分事实与推断,并标记待验证内容。不要满足于第一个看似合理的答案:对于每个关键结论,尽可能通过多个独立的一手来源进行佐证(若来源稀缺则明确说明),持续推进直至所有编号子问题都达到该标准。完成前进行自我审查——列出信息缺口、矛盾点以及仅基于单一来源的结论,然后再次搜索填补这些漏洞,重复此过程直至内容严谨无误。每个结论需提供来源链接、具体内容以及一行「重要性说明」。不得包含营销话术——仅保留可验证、可引用的事实。将所有内容输出到一个详细的markdown文件中。
Executing the prompt
执行提示词
To run the finished prompt with an AI researcher, execute it via DeepAPI — follow the skill.
POST /v1/research/deepdeep-research若要使用AI研究员运行最终的提示词,请通过DeepAPI的接口执行——遵循技能的要求。
POST /v1/research/deepdeep-research