By use case

Top Document Processing Skills

Create, parse, and edit DOCX, PDF, XLSX and PPTX files. OCR, format conversion, deterministic scripts.

13 skills indexed · ranked by composite score · updated August 19, 2026

Top 6 Documents skills

  1. 1.docling

    One skill covering every document format the category exists for — including scanned PDFs and RAG chunking — from the maintainers of the parser itself.

  2. 2.azure-ai-contentunderstanding-py

    Multimodal extraction across documents, images, audio and video through one Azure client — Microsoft-authored, with an explicit trigger list.

  3. 3.azure-ai-translation-document-py

    Batch document translation that preserves layout — the part that breaks when you translate a PDF by extracting text and re-flowing it.

  4. 4.liteparse

    Local document extraction with no API key — read the file, not the whole file.

  5. 5.box

    Box as an agent surface, plus the contract-review workflows nothing else in the catalog covers.

  6. 6.pdf

    Extract, fill, merge. PDF manipulation with bundled scripts so Claude does not waste tokens generating them.

About Document Processing

The best agent skills for document processing in 2026 are Anthropic's official `docx`, `pdf`, `pptx`, and `xlsx` Skills — they handle the formats every business runs on with tested scripts for edge cases (track-changes, password protection, merged cells) that improvised Python often misses. Document-processing Skills give AI agents deterministic control over Word, PDF, Excel, PowerPoint and CSV files. Instead of having Claude or Cursor improvise file manipulation in plain Python every time, a Skill bundles tested scripts, format-specific edge cases (track-changes, embedded images, locked sheets, password protection), and the precise install steps for each agent. The result is reproducible: the same prompt produces the same file, every time.

Most teams reach for these Skills the moment an agent has to touch a real customer artifact — a contract redline, a financial model, a board deck, a parsed claim form. Common workflows include extracting tables from scanned PDFs, find-and-replace across hundreds of DOCX files, generating PPTX decks from a Markdown outline, building XLSX models with formulas and conditional formatting, and OCR pipelines that turn scanned paper into searchable, indexable text.

The audience is broad: legal ops, finance, sales engineering, customer support, and any engineer wiring document automation into a SaaS product. We rank skills here by composite score — install count, provenance (Anthropic-authored skills like docx, pdf, pptx, xlsx score highest), cross-agent compatibility, recency, documentation depth, and how friction-free the install is on Claude Code, Cursor, Codex, Gemini CLI and Antigravity.

Ranked by score

Best Documents Skills

Skills that do documents well — ranked transparently.

Verified

One skill covering every document format the category exists for — including scanned PDFs and RAG chunking — from the maintainers of the parser itself.

PDFOCRRAG
Code
Medium5 min

Multimodal extraction across documents, images, audio and video through one Azure client — Microsoft-authored, with an explicit trigger list.

AzureExtractionMultimodal
Code
Medium10 min

Batch document translation that preserves layout — the part that breaks when you translate a PDF by extracting text and re-flowing it.

AzureTranslationBatch
Code
Medium10 min
Verified

Local document extraction with no API key — read the file, not the whole file.

ParsingExtractionLocal
Code
Low2 min
Verified

Box as an agent surface, plus the contract-review workflows nothing else in the catalog covers.

BoxContractsDocument Intake
Code
Medium5 min
Official

Extract, fill, merge. PDF manipulation with bundled scripts so Claude does not waste tokens generating them.

PDFFormsRead-write
All surfaces
Low1 min

The widest format matrix of any conversion skill we catalogue, and it executes the conversion rather than describing it.

MarkdownConversionExport
Code
Low3 min

FHIR to prior-auth to ICD-10 coding: the official payer/provider/pharma toolkit.

HealthcareFHIRMedical Coding
Code
Medium5 min
Official

Word documents end-to-end. Create, edit, comment, track-change.

WordReportsRead-write
All surfaces
Low1 min
Official

Excel spreadsheets with real formulas, charts, and formatting — not flat CSV exports.

ExcelFormulasCharts
All surfaces
Low1 min
Official

PowerPoint decks with layouts, charts, speaker notes — programmatic from prose.

PowerPointSlidesDecks
All surfaces
Low1 min
Official

Multi-author edits with suggestion mode and conflict resolution.

EditingTrack-changes
All surfaces
Low1 min
Verified

Data-driven document generation: one template, a thousand filled documents.

TemplatesCarboneDocument Generation
Code
Medium3 min

FAQ

Frequently asked

What is a document-processing Skill?

A document-processing Skill is a SKILL.md-format bundle that teaches an AI agent how to read, edit, or generate a specific file type — DOCX, PDF, XLSX, PPTX, CSV — using deterministic scripts rather than ad-hoc code. It ships as a folder the agent loads on demand.

Which agents support document Skills today?

Anthropic's docx/pdf/pptx/xlsx Skills run natively in Claude Code, Claude.ai (Pro/Max/Team/Enterprise), and the Claude API. Codex CLI, Cursor, Gemini CLI and Antigravity all support the SKILL.md spec, with Antigravity bundling 1,000+ pre-installed.

Do document Skills work offline?

Yes for the file manipulation itself — the bundled scripts run locally inside the agent's sandbox. OCR Skills that call cloud vision APIs (Anthropic's file-search, Google Vision) require network access; pure pdfplumber/python-docx flows do not.

How do I pick between docx, pdf, pptx and xlsx Skills?

Pick by output format, not input. If you need to produce a Word file, use docx. If you need a styled deck, use pptx. xlsx Skills handle formulas and pivot tables that generic CSV writers cannot. PDF skills handle both reading (extraction) and writing (form fill, watermark, encrypt).

Are these Skills better than just asking the model to write a script?

For one-off tasks, prompting works. For anything reproducible — same input, same output, every time — a Skill is meaningfully more reliable. It bundles tested scripts, handles format edge cases the model often gets wrong (encrypted PDFs, .docx tracked changes, .xlsx merged cells), and avoids prompt-to-prompt drift.

Go deeper

Guides and comparisons for Documents

Ranked recommendations with the reasoning, per-agent compatibility cuts, and head-to-head verdicts.

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