Agent skill · operations · claude-office-skills
doc-pipeline
Chain document operations into reusable pipelines
Why this skill is useful
Adds a domain-specific language for defining document processing pipelines that the AI wouldn't generate on its own.
What it needs
Requires python installed locally. About 2k tokens when loaded. Last updated 2026-01-31. 363 stars on the source repository.
What this skill does
Doc Pipeline Skill Overview This skill enables building document processing pipelines - chain multiple operations (extract, transform, convert) into reusable workflows with data flowing between stages. How to Use 1. Describe what you want to accomplish 2. Provide any required input data or files 3. I'll execute the appropriate operations Example prompts: "PDF → Extract Text → Translate → Generate DOCX" "Image → OCR → Summarize → Create Report" "Excel → Analyze → Generate Charts → Create PPT" "Multiple inputs → Merge → Format → Output" Domain Knowledge Pipeline Architecture Pipeline DSL (Domain Specific Language) Python Implementation Advanced: Conditional Pipelines Best Practices 1. Keep stages focused (single responsibility) 2. Use intermediate outputs for debugging 3. Implement stage-level error handling 4. Make pipelines configurable via YAML/JSON Installation Resources Custom Repository Claude Office Skills Hub
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills claude-office-skills/doc-pipeline