goose-recipe-analysis

Document analysis creates automated recipes that extract trends, patterns, and metrics from saved markdown, JSON, and CSV reports. Goose-recipe-analysis generates YAML recipes and shell-script runners that process these files end-to-end, producing actionable recommendations from existing data without requiring MCP authentication or manual setup.

Yes. Multi-file comparison recipes analyze and cross-reference multiple documents—such as quarterly sales or fundraising reports—to detect performance shifts, pattern changes, and key metric differences. The Skill generates recipes that automatically perform these comparisons and surface strategic recommendations.

Document analysis recipes work with markdown, JSON, and CSV formats. The Skill accepts these file-based inputs, applies transformations and enrichment logic, and outputs simplified YAML recipes plus executable shell scripts for straightforward, repeatable analysis runs.

No. The Skill generates pre-built YAML recipes and shell-script runners, eliminating the need for coding or framework knowledge. You define what documents to analyze; the Skill handles recipe creation and provides an executable script for immediate use.

Recipes automate the exact analysis steps you define—extracting metrics, comparing datasets, generating insights—and persist as reusable, version-controlled YAML files. This enables consistent, repeatable analysis on the same or updated documents without rebuilding the logic each time.

Recipes generate actionable recommendations and enriched data outputs that support downstream follow-up analysis on the same dataset. The output feeds naturally into additional recipe runs or external reporting workflows, enabling iterative, multi-stage insight extraction.