deep-research - Multi-Agent Research Pipeline
Orchestrates 10-19 specialized AI agents for structured multi-agent research pipeline across 3 cycles
Tags
Updated: 2026-06-30Capabilities
Typical Inputs
Typical Outputs
What this skill does
- orchestrate agents
- search literature
- verify facts
- synthesize findings
- check citations
- create visualizations
- generate action maps
- compare versions
- test hypotheses
- audit quality
- identify gaps
- resolve contested claims
- run python scripts
- archive previous versions
- translate documents
Inputs
- research topic
- user context file
- domain profile
- lab results
- genetic variants
- research mode
- previous consensus
- temporal diff flag
Outputs
- synthesis.md
- synthesis_ru.md
- consensus_reference.md
- interaction_map.md
- unknowns_and_next.md
- _critic_review.md
- _methods_review.md
- _domain_review.md
- _fact_check.md
- _citation_audit.md
- _temporal_diff.md
- _action_map.md
- progress logs
- analysis scripts
- data files
- figure images
Requirements
- Claude Code CLI
- Python 3.10+
- matplotlib
- pandas
- numpy
- markdown library