weizhena/deep-research-skills/research-deep
Claude Code and agent skill by weizhena/deep-research-skills
Trust tier 2
- community
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Checking that the SKILL.md file is still in the repository.
读取调研outline,为每个item启动独立agent进行深度调研。禁用task output。
Install
npx vskill@latest install weizhena/deep-research-skills/research-deepSKILL.md
Research Deep - 深度调研
触发方式
/research-deep
执行流程
Step 1: 自动定位Outline
在当前工作目录查找 */outline.yaml 文件,读取items列表、execution配置(含items_per_agent)。
Step 2: 断点续传检查
- 检查output_dir下已完成的JSON文件
- 跳过已完成的items
Step 3: 分批执行
- 按batch_size分批(完成一批需要得到用户同意才可进行下一批)
- 每个agent负责items_per_agent个项目
- 启动web-search-agent(后台并行,禁用task output)
参数获取:
{topic}: outline.yaml中的topic字段{item_name}: item的name字段{item_related_info}: item的完整yaml内容(name + category + description等){output_dir}: outline.yaml中execution.output_dir(默认./results){fields_path}: {topic}/fields.yaml的绝对路径{output_path}: {output_dir}/{item_name_slug}.json的绝对路径(slugify处理item_name:空格替换为_,移除特殊字符)
硬约束:以下prompt必须严格复述,仅替换{xxx}中的变量,禁止改写结构或措辞。
Prompt模板:
One-shot示例(假设调研GitHub Copilot):
Step 4: 等待与监控
- 等待当前批次完成
- 启动下一批
- 显示进度
Step 5: 汇总报告
全部完成后输出:
- 完成数量
- 失败/不确定标记的items
- 输出目录
Agent配置
- 后台执行: 是
- Task Output: 禁用(agent完成时有明确输出文件)
- 断点续传: 是
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/research-zh/research-deep/SKILL.md
Popularity
- Repository stars
- 773
- Repository forks
- 70
- 7-day trend score
- 33
Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 22 Mar 2026, 7 months ago.
Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
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Embed badge
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