deep-research 精选
Deep research harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report.
安装方式
cp -r Anthropic/claude-code/skills/deep-research ~/.claude/skills/deep-research-2把该 skill 目录放进客户端 skills 目录。不同客户端的目录可能不同，Claude Code 默认是 ~/.claude/skills/
https://raw.githubusercontent.com/asgeirtj/system_prompts_leaks/a09e0e708710093ed9fc15fb24bfc1374f584da4/Anthropic/claude-code/skills/deep-research/SKILL.md下载后另存为 ~/.claude/skills/deep-research-2/SKILL.md。链接锁定采集时的 commit，内容与本站展示一致。
整仓一次性获取：git clone --depth 1 https://github.com/asgeirtj/system_prompts_leaks.git
依赖与权限
- 无需 API Key
- 无需联网
- 无外部命令依赖
- 以上为按正文与 frontmatter 自动推断的信号，仅供参考；安装前建议先阅读原文。
触发场景
When the user wants a deep, multi-source, fact-checked research report on any topic. BEFORE invoking, check if the question is specific enough to research directly — if underspecified (e.g., "what car to buy" without budget/use-case/region), ask 2-3 clarifying questions to narrow scope. Then pass the refined question as args, weaving the answers in.
SKILL.md 正文
Run the "deep-research" workflow.
Deep research harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report.
When the user wants a deep, multi-source, fact-checked research report on any topic. BEFORE invoking, check if the question is specific enough to research directly — if underspecified (e.g., "what car to buy" without budget/use-case/region), ask 2-3 clarifying questions to narrow scope. Then pass the refined question as args, weaving the answers in.
Phases:
- Scope: Decompose question (from args) into 5 search angles
- Search: 5 parallel WebSearch agents, one per angle
- Fetch: URL-dedup, fetch top 15 sources, extract falsifiable claims
- Verify: 3-vote adversarial verification per claim (need 2/3 refutes to kill)
- Synthesize: Merge semantic dupes, rank by confidence, cite sources
Invoke: Workflow({ name: "deep-research" })
If the user asks you to modify this workflow or write a new script, load the workflow-authoring skill first.
质量与来源
- 所属仓库
- asgeirtj/system_prompts_leaks
- 仓库星标
- 6.9 万
- 最近更新
- 今天
- 采集时间
- 今天
- commit
- a09e0e708710
- 内容指纹
- sha256:dfe21e17f8a96a1
- 文件路径
- Anthropic/claude-code/skills/deep-research/SKILL.md
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deep-research
Use this skill when the user's prompt requires (1) researching a topic across multiple sources, comparing options or alternatives, analyzing trends or history, understanding markets or industries, or reviewing literature or studies and (2) synthesizing that research into a comprehensive, narrative report. If you're planning to search the web or internal knowledge bases, consider using this skill. This skill coordinates research subagents, so use it only when you have a tool for spawning subagents (the Agent or Task tool); otherwise, research the question directly.
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