research-executor

Multi-agent research coordinates specialized agents (Web, Academic, Cross-Reference) through a 7-phase framework to gather diverse sources and synthesize findings. Each claim receives inline citations linked to verifiable sources, with a validation loop ensuring accuracy before final delivery of a structured report.

Graph of Thoughts (GoT) generates parallel research paths and aggregates findings into coherent outputs. It enables structured reasoning across multiple agents, ensuring comprehensive coverage of complex topics and organized synthesis ready for packaging.

The 7-phase process automatically decomposes complex questions into 3-7 subtopics, assigns specialized agents to each, and orchestrates parallel execution. This reduces manual planning effort and ensures systematic coverage of all research dimensions.

Provide a structured prompt with TASK, CONTEXT, SPECIFIC_QUESTIONS, KEYWORDS, CONSTRAINTS, and OUTPUT_FORMAT. The Skill enforces inline citations for all factual claims, runs verification loops to validate accuracy, and outputs organized reports packaged under RESEARCH/[topic]/ directories.

Research teams, academic institutions, and organizations requiring rigorous citation-backed studies benefit from this approach. It reduces manual coordination overhead for complex investigations by automating agent deployment, synthesis, and verification across multiple information sources.

No specialized prerequisite knowledge is required. The Skill abstracts the 7-phase orchestration and GoT reasoning into a structured input format. Provide your research goal and constraints; the system handles agent coordination, parallel execution, and synthesis automatically.