Skills Plugins MCP Prompt Model 博客 我的中心

deep-research

Produce an in-depth, source-grounded research report. Use for broad questions requiring multiple research threads, reconciliation, and a cited report rather than a quick factual lookup.

DeepseekModel 官方收录技能 质量 优秀 · 78 v1.0.0

获取

https://deepseekmodel.com/api/download.php?id=nateberkopec-dotfiles-files-home-claude-skills-deep-research-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name deep-research description Produce an in-depth, source-grounded research report. Use for broad questions requiring multiple research threads, reconciliation, and a cited report rather than a quick factual lookup. Deep research Use separate agents for source gathering and final synthesis so each role keeps a clean context. The lead coordinates, interviews, delegates reconnaissance, checks coverage, and validates the final report; it does not perform independent web research. For a narrow fact or small documentation lookup, answer directly instead of using this workflow. 1. Define the question Ask one focused round at a time until the audience, decision, boundaries, desired depth, source constraints, date range, output location, and success criteria are clear. Propose a research question and outline for approval. Do not begin full research before approval. When the topic needs a methodological lens, read references/research-frameworks.md only for the applicable framework. 2. Delegate reconnaissance Launch a small reconnaissance assignment to identify terminology, source types, obvious subquestions, and likely blind spots. Use its findings to divide the outline into non-overlapping research threads. Keep a coverage map connecting every approved section to at least one assignment. Before launching researchers or a report writer, read references/agent-briefs.md and apply the relevant contract. Give each researcher one thread and one output file under research_notes/ . Parallelize independent threads; keep dependent work sequential. Completion criterion: every outline section has an owner, boundaries, evidence standard, and note path. 3. Research and close gaps Wait for all assignments, then inspect every note for source quality, missing citations, contradictions, and unfilled sections. Delegate targeted follow-ups rather than silently filling gaps. Preserve conflicting credible evidence for synthesis. Completion criterion: every approved section has adequate primary or authoritative support, or an explicit documented limitation. 4. Synthesize Delegate the report to a fresh writer with the approved question, outline, all note paths, and final path. Require citations near claims, explicit conflict handling, limitations, and a source list. The report must be synthesis, not pasted notes. Review the output against the coverage map. Send specific defects back to the writer or a researcher and repeat until every section is supported and the report satisfies the agreed success criteria. 5. Deliver Return the report path, a concise summary of conclusions, important uncertainties, and the source count. Keep research_notes/ unless the user asks to remove it. Do not present the report as complete while a cited claim is unsupported, a credible conflict is hidden, or an approved section is missing.
Agent 识别该技能的关键词,点击任意一个即可复制。

该技能未提供触发词。

下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

每日精选 Skill 推荐,免费送到你邮箱

输入邮箱,每天接收一个精选 AI Agent 技能推荐。完全免费,持续更新。

提交后我们会发送一封确认邮件,点击邮件里的链接才会开始收信。

完全免费,取消任意时间。我们不会发送垃圾邮件。