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Skills/Data Science & ML
opensensenova avatar

Sn Deep Research

opensensenova/sensenova-skills

This is a full-pipeline research orchestrator that runs plan → evidence gathering → synthesis → final report, all saved to disk with resume support.

installs
136
GitHub stars
5.9K
last updated
Jun 11, 2026
View on GitHubSave

Install

$ npx -y skills add opensensenova/sensenova-skills --skill sn-deep-research --agent claude-code

Installs into .claude/skills of the current project.

Sponsors

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What it does

Before it starts, it tests web_search with a throwaway query and refuses to proceed if search isn't working. It auto-triggers on keywords like "深度调研" or when a question needs multi-source cross-validation, but skips simple lookups. Each stage writes files (plan.json, sub_reports, synthesis.md, report.md) and won't move forward until the previous artifact exists and passes checks. The synthesis step is mandatory, so you get actual judgment instead of stitched-together search results. Honestly useful if you need repeatable research workflows, though the rigid stage gates mean you'll spend time babysitting file outputs.

Files

Select a file.

Details

Repository
github.com/opensensenova/sensenova-skills
Category
Data Science & ML
License
MIT
First seen
Jun 11, 2026

More from opensensenova/sensenova-skills

All 26
  • Sn Da Image Caption133
  • Sn Da Excel Workflow132
  • Sn Ppt Creative129
  • Sn Da Large File Analysis125
  • Sn Ppt Doctor124
  • Sn Report Format Discovery124
  • Sn Research Report124
  • Sn Search Academic124
  • Sn Image Imitate123
  • Sn Search Code121
  • Sn Search Social Cn121
  • Sn Search Social En117
  • Sn Update103
  • Sn Da Non Spreadsheet Analysis
  • Sn Dimension Research
  • Sn Research Planning
  • Sn Research Synthesis
  • Sn Search Image
  • Sn Image Base178
  • Sn Infographic166
  • Sn Ppt Standard159
  • Sn Ppt Entry151
  • Sn Md To Html Report150
  • Sn Image Resume143

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