sushi-matrix

Automating competitive analysis matrices involves querying multiple competitors across specified features, extracting evidence for each comparison point, and delivering the color-coded results directly into a Google Sheet. This Skill handles that entire process while attaching verification evidence to each cell.

Building a large competitive research matrix without timeouts requires batch processing, which breaks the matrix creation task into smaller chunks. This prevents API timeouts by querying competitors in manageable subsets rather than processing all features simultaneously.

Yes, creating a competitive matrix requires access to the Google Sheets API for delivering the final output, the Sushidata API for competitor data extraction, and Claude Cowork integration for orchestrating the research and reasoning tasks across batches.

Yes, you can fully customize the competitive matrix by specifying your product name, listing target competitors, defining the exact features to compare, and adjusting the reasoning effort applied to the research task for each matrix generation.

Evidence tracking in a competitive analysis matrix attaches supporting source data to each individual cell, ensuring transparency and verification. This allows users to validate the claims made in the matrix by reviewing the extracted evidence alongside the color-coded comparisons.

When generating competitive matrices across many competitors, the primary limitation is processing time due to API constraints. To mitigate this, the system chunks large matrices into smaller batch tasks to avoid timeouts, though overall completion time scales with the total matrix size.