deep-research

name	deep-research
description	When a topic needs thorough investigation from multiple sources → multi-source search + evidence assembly + structured report.
triggers	{"intent_patterns":["research|调研|调查|分析|analysis|market","帮我查.*背景|background.*research|了解一下|深入了解","竞品分析|competitive.*analysis|行业.*报告|industry.*report","总结.*资料|summarize.*sources|综合.*信息|compile.*findings","这个.*怎么回事|what.*happened|来龙去脉|前因后果","趋势|trend|现状|current.*state|发展.*方向","对比.*方案|compare.*options|选型|tech.*selection|evaluate.*alternatives","帮我.*整理|help.*organize|梳理|sort.*out"],"tool_signals":["web_search","web_fetch"],"context_signals":{"keywords":["调研","研究","analysis","research","竞品","趋势","选型","background","investigate","对比","综合","梳理","evaluate"]},"confidence_threshold":0.6}
priority	8
exclusive_group	research
max_tokens	200
cooldown	300
requires_tools	["bash"]
output	{"format":"markdown","artifacts":true,"artifact_type":"document"}

deep-research

多源检索 + 证据汇编 + 结构化报告。

调用

python3 skills/deep-research/run.py --topic '研究主题' --queries '["关键词1","关键词2"]' --max_results 5 --depth basic

参数

参数	类型	必填	说明
topic	string	是	研究主题
queries	string[]	否	搜索关键词，默认自动生成 3 条
max_results	int	否	每条 query 结果数，默认 5
depth	string	否	"basic" 或 "advanced"
fetch_urls	string[]	否	额外抓取全文的 URL

输出

返回 JSON，包含 searches（搜索结果）、fetched_pages（抓取页面）、summary_prompt（综合提示）。

LLM 拿到结果后，按「问题→发现/证据→置信度→影响/建议」结构化整理。