This is a full-pipeline research orchestrator that runs plan → evidence gathering → synthesis → final report, all saved to disk with resume support. 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.
npx -y skills add opensensenova/sensenova-skills --skill sn-deep-research --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
sickn33/antigravity-awesome-skills