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Deep Research Team

When you need actual multi-angle research with verification, not just a quick search. This spawns a team of independent researchers (2-4 depending on scope) who work in rounds, with a lead agent triaging findings and dispatching follow-up tasks based on what emerges. The architecture is thoughtful: researchers never see each other's work to avoid groupthink, and in comprehensive mode one researcher explicitly verifies another's single-source claims. Scales from focused two-researcher jobs to four-round deep dives with cross-verification. The process persists state to disk so you can resume interrupted research. Skip it for simple lookups or anything answerable in one or two searches. It's built for questions where the first round of findings tells you what to investigate next.

GitHub stars
460
last updated
Jun 7, 2026

Install

$ npx -y skills add malob/nix-config --skill deep-research-team --agent claude-code

Installs into .claude/skills of the current project.

Files

Deep Research Team (Lead Orchestrator)

Conduct thorough, iterative research by coordinating a persistent team of researcher agents across multiple rounds. This architecture enables mid-investigation steering, targeted follow-up based on emerging findings, and cross-agent verification.

Architecture Overview

Round 1: Investigation      Round 2: Follow-up          Synthesis

Sponsors

Details

Repository
github.com/malob/nix-config
Category
Data Science & ML
License
MIT
First seen
Jun 11, 2026

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