review-doc-agent-team

Automating a document review involves orchestrating a multi-agent team to deliberate and produce a formal decision record. This Skill dynamically assembles specialized reviewers based on document type and complexity to execute a structured, evidence-based evaluation workflow.

A decision record is a formal audit trail documenting the outcome of a structured deliberation. You need one for implementation plans or research documents to ensure traceability, capture rationale, and maintain an evidence-based consensus among multiple reviewing parties.

Configuring agent roles requires pre-allocating specific reviewer functions before launching the workflow. The Skill uses provided references and role prompts to classify the document, compose the team, and coordinate deliberation mechanics automatically.

Yes, the multi-agent review workflow is applicable to both research documents and implementation plans. It dynamically adjusts team composition and coordination mechanics based on the specific document type, complexity, and signals detected during the classification phase.

Generating a DACI or MADR style decision record requires a phased deliberation process with pre-allocated roles. This Skill orchestrates specialized agents through classification, team composition, and structured deliberation to output a formal, traceable decision record.