From deep-research
Forces two-step deep research: activates multi-source inquiry skill for search and cross-validation, then produces structured output on topic.
How this command is triggered — by the user, by Claude, or both
Slash command
/deep-research:researchThe summary Claude sees in its command listing — used to decide when to auto-load this command
# 强制 2 步流程
**第 1 步 - 激活**: 立即使用 Skill tool 调用技能
- 命令: `Skill("deep-research:multi-source-inquiry")`
- **关键**: 这一步不可跳过。直接实现而不调用 Skill tool 是无效的。
**第 2 步 - 执行**: 仅在 skill 加载后,严格按照其指南执行
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如有参数,作为研究主题:$ARGUMENTS
## 使用示例第 1 步 - 激活: 立即使用 Skill tool 调用技能
Skill("deep-research:multi-source-inquiry")第 2 步 - 执行: 仅在 skill 加载后,严格按照其指南执行
如有参数,作为研究主题:$ARGUMENTS
/research "Temporal vs Inngest 对比"
/research "2025 年 RAG 最佳实践"
/research # 无参数时会询问研究主题
npx claudepluginhub cuipengfei/prompts --plugin deep-research/researchPerforms structured multi-LLM research using configurable breadth (light/standard/exhaustive) and intensity (quick/standard/deep) with web search and multi-source synthesis.
/researchExecutes multi-agent research pipeline on given topic with Scout, Investigators, Deep Diver, Verifier, Synthesizer, and iterative Critic review to produce verified synthesized insights.
/insane-researchLaunches a multi-agent deep research system that autonomously searches, verifies sources, and produces structured reports with executive summaries, full reports, and bibliographies. Also supports resuming sessions and checking status.
/deep_researchOrchestrates multi-agent deep research on a topic by analyzing complexity, generating sub-questions, spawning parallel research workers, and synthesizing cited reports.
/researchConducts systematic academic and technical research using multiple search engines and AI reasoning, cross-validating sources and synthesizing findings into a structured summary with citations.