What problem does it solve? When multiple AI agents produce analysis results in different shapes and styles, manually merging them into one consistent, readable report is slow and error-prone. This Skill consolidates heterogeneous agent outputs into a single structured final document. ## Core Features & Use Cases - Result Integration: Merges outputs from multiple agents into one unified, structured deliverable without losing data. - Multi-Format Output: Converts consolidated content into Markdown, JSON, HTML, or plain text based on the requested target format. - Batch Processing: Handles large volumes of agent results with consistent formatting and graceful handling of malformed input data. - Use Case: After running story-outline, plot-point, and character-analysis agents on a screenplay project, feed all their outputs in and receive one structured Markdown report with sections for outline, plot points, mind map, and metadata. ## Quick Start Combine these agent analysis results into a structured Markdown report with sections for the story outline, major plot points, and metadata.