extract-and-archive-tax-summary-data

Capture structured tax return summaries as YAML when PDF downloads are blocked or inaccessible

5 stars

Best use case

extract-and-archive-tax-summary-data is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Capture structured tax return summaries as YAML when PDF downloads are blocked or inaccessible

Teams using extract-and-archive-tax-summary-data should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/extract-and-archive-tax-summary-data/SKILL.md --create-dirs "https://raw.githubusercontent.com/vamseeachanta/workspace-hub/main/.agents/skills/workspace-hub/learned/extract-and-archive-tax-summary-data/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/extract-and-archive-tax-summary-data/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How extract-and-archive-tax-summary-data Compares

Feature / Agentextract-and-archive-tax-summary-dataStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Capture structured tax return summaries as YAML when PDF downloads are blocked or inaccessible

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Extract and Archive Tax Summary Data

When PDF downloads from FreeTaxUSA are blocked by popups or automation restrictions, scrape the summary page HTML to extract all line items and save as structured YAML instead. Include year-over-year columns (e.g., 2024 vs 2025) to enable programmatic comparison. This preserves critical tax data even when file downloads fail, and the structured format is more queryable than PDFs for future analysis.

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