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Extract and structure tax return data into YAML format for year-over-year comparison across different filing products
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Write outbound email and external messages in Vamsee Achanta's voice — a subtle offer to help, never bold or rash claims. Load before drafting ANY email, LinkedIn/Collide reply, proposal note, or outreach sent under his name.
Save/publish analysis or computation results from ANY ecosystem repo to Hugging Face as a queryable, viewer-renderable dataset. Use when the user wants to "save results to hugging face", "publish dataset to HF", "hugging face data saving", "save analysis results", "hf dataset", "make results queryable", or "render via datasets-server API". Reshapes nested results into flat parquet tables, writes a dataset card with a viewer `configs:` block and provenance, applies license/public-vs-private routing, enforces a domain data-quality gate (faithful-to-source != correct), publishes to `aceengineer/<repo>-<projection>`, and verifies via the datasets-server API.
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| name | export-tax-summary-with-year-comparison |
| description | Extract and structure tax return data into YAML format for year-over-year comparison across different filing products |
| version | 1.0.0 |
| source | auto-extracted |
| extracted | "2026-04-14T00:00:00.000Z" |
| metadata | {"tags":["tax-workflow","data-export","year-comparison","financial-records"]} |
When tax preparation tools block automated PDF downloads (via popups or new tabs), capture the structured summary data from the web interface instead. Export line-item data to YAML format with both current and prior-year columns for programmatic comparison. This approach is filing-product-agnostic and survives workflow changes—if next year uses a different tax service, the prior-year YAML remains instantly comparable without manual re-entry.