用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/ChonSong/skill-retriever --skill research-prompt命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
基于 SOC 职业分类
| name | research-prompt |
| description | Turn vague research needs into one precise deep-research prompt with context and output criteria. |
| category | research |
| risk | safe |
| source | community |
| source_repo | davidondrej/skills |
| source_type | community |
| date_added | 2026-07-07 |
| author | davidondrej |
| tags | ["research","prompting","briefs"] |
| tools | ["claude","codex"] |
| license | MIT |
| license_source | https://github.com/davidondrej/skills/blob/main/LICENSE |
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.
[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.
To run the finished prompt with an AI researcher, execute it via DeepAPI POST /v1/research/deep — follow the deep-research skill.
davidondrej/skills; verify local paths, tools, credentials, and agent features before acting.