“Deep research”

Run deep research through DeepAPI and save a report with sources.

Run a thorough, source-heavy investigation on any topic.

Conduct iterative, multi-source deep research on a topic and produce a cited project report.

Execute autonomous multi-step research using Google Gemini Deep Research Agent.

Run deep research on a topic.

Use for scoped deep-research questions that need multiple sources and a source-backed synthesis.

Answer a broad, open-ended, or multi-part question by iteratively searching MFS-indexed sources, following up on gaps, and synthesizing a cited report — the…

Deep research harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report.

Deep research and discovery before building something new.

Multi-agent deep-research orchestrator.

Universal deep research agent team.

Use for explicit deep research or consequential questions with fragmented/conflicting evidence benefiting from independent subquestions.

深度研究工具。接收用户的研究主题，分析请求、生成研究提示词， 用户确认后执行多源网络搜索（覆盖中英文主流平台和社交媒体）， 最终产出带引用链接的结构化 Markdown 研究报告并保存。 当用户说"深度研究"、"帮我研究一下"、"deep research"、"调研一下"、"调研"时触发。

Generate or refine a structured prompt for a Deep Research tool and copy it to clipboard.

Read research outline, launch independent agent for each item for deep research.

一个全面、自主的深度研究框架。当用户请求对复杂主题、市场调研、技术格局进行深入的多维度调查，或需要大量网页浏览、数据合成和结构化报告的任何任务时，使用此技能。它协调子代理（subagents）并使用基于文件系统的状态管理来防止上下文膨胀。

Multi-source deep research using Tavily, firecrawl, and exa MCPs.

Research with scoped depth and counterevidence.

Multi-source deep research using firecrawl and exa MCPs.

Produces thorough, multi-source cited research reports from web and news without paid APIs.

Investigate a question that requires sustained research across sources and produce cited findings.

Multi-platform deep research with reputation-gated sources, two-hop trust expansion, parallel platform fan-out (Web + GitHub + Reddit + X +…

Use when investigating any claim, question, or topic where the easy first answer is likely insufficient.

Conduct rigorous, multi-source deep research on any technical topic — programming languages, libraries/frameworks, tools, patterns, best practices…