What problem does it solve? Combining literature findings and data analysis results into a single coherent research report is error-prone: findings lose source attribution, contradictions between domains get silently merged, and formatting is inconsistent. This Skill performs the final synthesis step of a multi-agent research workflow, producing a traceable, contradiction-preserving report. ## Core Features & Use Cases - Cross-Domain Synthesis: Identifies connections between knowledge and analysis findings using a 4-label taxonomy (SUPPORTS/CONTRADICTS/INFORMS/INDEPENDENT). - Contradiction Preservation: Surfaces conflicting claims verbatim with source attribution, leaving resolution to the human user. - Flexible Output Formatting: Follows a user-specified format or falls back to a default 7-section template with a mandatory Verdict section. - Use Case: After literature-searcher and code-engineer sub-agents finish, the orchestrator passes their integrated summaries here to produce a final report such as report-ai-healthcare-20250101.md with full traceability. ## Quick Start Ask the science-research-team orchestrator to synthesize the completed knowledge and analysis summaries into a final research report.
