Skills Plugins MCP Prompt Model 博客 我的中心

deep-research

Orchestrate multi-phase deep research with web search, memory retrieval, pattern matching, and synthesis into structured findings

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

获取

https://deepseekmodel.com/api/download.php?id=ruvnet-ruflo-plugins-ruflo-goals-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 Orchestrate multi-phase deep research with web search, memory retrieval, pattern matching, and synthesis into structured findings argument-hint <topic> allowed-tools mcp__plugin_ruflo-core_ruflo__memory_store mcp__plugin_ruflo-core_ruflo__memory_search mcp__plugin_ruflo-core_ruflo__memory_search_unified mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-store mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-recall mcp__plugin_ruflo-core_ruflo__agentdb_pattern-search mcp__plugin_ruflo-core_ruflo__agentdb_pattern-store mcp__plugin_ruflo-core_ruflo__neural_predict mcp__plugin_ruflo-core_ruflo__hooks_intelligence_pattern-search mcp__plugin_ruflo-core_ruflo__hooks_intelligence_pattern-store mcp__plugin_ruflo-core_ruflo__task_create mcp__plugin_ruflo-core_ruflo__task_list mcp__plugin_ruflo-core_ruflo__task_summary Bash WebSearch WebFetch Read Write Deep Research Orchestrate multi-phase deep research campaigns that gather, cross-reference, and synthesize information from multiple sources. When to use When you need to investigate a complex topic thoroughly — spanning web sources, codebase patterns, stored memory, and external documentation — and produce a structured synthesis. Steps Define research scope — break the question into 3-7 sub-questions that together answer the main question Search existing knowledge — call mcp__plugin_ruflo-core_ruflo__memory_search_unified and mcp__plugin_ruflo-core_ruflo__agentdb_pattern-search to check what's already known Web research — use WebSearch and WebFetch to gather external information for each sub-question Codebase analysis — use Bash (grep/find), Read to examine relevant source files Cross-reference — compare findings across sources, identify agreements and contradictions Store findings — call mcp__plugin_ruflo-core_ruflo__memory_store with namespace research for each key finding Store patterns — call mcp__plugin_ruflo-core_ruflo__agentdb_pattern-store for reusable patterns discovered Synthesize — produce a structured research report with: Executive summary (2-3 sentences) Key findings (bulleted) Evidence quality assessment (high/medium/low per finding) Open questions remaining Recommended next steps Research depth levels Quick — memory search + 1-2 web queries, 2-3 minutes Standard — memory + web + codebase scan, 5-10 minutes Deep — all sources + cross-referencing + pattern storage, 15-30 minutes Exhaustive — deep + spawn sub-agents for parallel research threads, 30+ minutes Memory namespaces research — raw findings keyed by topic research-synthesis — completed synthesis reports research-sources — source URLs and references
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。

验证码 --

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。