Individual skill
deep-research
Professional deep research report generation — multi-agent collaboration with parallel chapter writing, automatic latest-data targeting, multilingual output, and built-in quality checks.
deep-research/SKILL.md
Source commit 91108cf5c608edd1f00a8c5ac635f16504e08a35
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 10, 2026
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Repository context
- Repository stars (not skill ratings)
- 514
- Repository last updated
- Nov 8, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- claude-code Repository topic
- codex Repository topic
- cursor Repository topic
- skills Repository topic
- agent-skills Repository topic
- agents-md Repository topic
- ai-agents Repository topic
- claude-code-skills Repository topic
- codex-skills Repository topic
- coding-agents Repository topic
- writing Derived category
- data Derived category
- research Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
LICENSEasset · 1,064 bytesRULES.mddoc · 7,074 bytesSKILL.mdcore · 35,513 bytesSKILL.mdcore · 35,513 bytesSKILL.mdcore · 35,513 bytesSKILL.mdcore · 35,513 bytesSKILL.mdcore · 35,513 bytesSKILL.mdcore · 35,513 bytesSKILL.mdcore · 35,513 bytesSKILL.mdcore · 35,513 bytesSKILL.mdcore · 35,513 bytesSKILL.mdcore · 35,513 bytesSKILL.mdcore · 35,513 bytesSKILL.mdcore · 35,513 bytesSKILL.mdcore · 35,513 bytesTYPES.mddoc · 4,979 bytesVERSIONasset · 6 bytescommand/research.mddoc · 751 bytescommand/update.mddoc · 1,425 bytesprofiles.jsonasset · 344 bytesprompts/task1_outline.mddoc · 8,971 bytesprompts/task2_data_collection.mddoc · 29,545 bytesprompts/task3_chapter_agent.mddoc · 3,932 bytesprompts/task4_assembly.mddoc · 6,367 bytesreports-browser/favicon.svgasset · 241 bytesreports-browser/html-docx.min.jsruns · 416,073 bytesreports-browser/html2pdf.bundle.min.jsruns · 905,956 bytesreports-browser/index.htmlasset · 19,546 bytesreports-browser/marked.min.jsruns · 52,864 bytesreports-browser/reports.jsonasset · 2 bytesscrapling-mcp-server.pyruns · 6,785 bytessources.jsonasset · 7,717 bytestools/dr_check.pyruns · 21,747 bytestools/dr_gen.pyruns · 37,707 bytestools/dr_tools.pyruns · 17,579 bytestools/generate_pages.pyruns · 29,033 bytestools/lang_config.pyruns · 24,632 bytes
Read excerpt
# deep-research
生成对标券商/第三方研究机构标准的深度调研报告。
- **架构**:主 agent 调度 4 个子 agent Task(大纲/数据/预检/装配)+ 1 轮主控并行派发章节,中间数据走临时文件
- **数据源**:在线模式 → 工具内置引擎(Layer 0,如有)+ 大纲建议源定向搜索(Layer 1) + sources.json 优质源搜索(Layer 2)并行 → 按质量触发免费源补强(Layer 3 兜底)→ Scrapling 批量抓取;离线模式 → 用户指定的本地文件(md/txt/pdf/docx)
- **安装**:见下方「安装与配置」
- **输出**:`$TMPDIR/outline.json`(临时,非最终报告)
- **最终报告**:保存到 skill 目录下的 `reports/`
- **参考文件**:`RULES.md`(硬约束/反模式)、`TYPES.md`(分类标准/编号规范)、**`profiles.json`(三档模式参数,修改后重启软件即全局生效)**
- **容错原则**:调研不阻塞。所有脚本/命令调用必须有兜底路径。主路径失败 → 自动尝试替代方案(换 `sys.executable`/检查路径/直接 Python 实现)→ 三次失败后向用户报告具体问题。详见「容错原则」。
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