document-workflows

document-workflows is a Data pipelines & ETL skill for AI agents, published by andrewyng in the context-hub repository on GitHub. Skillspace rates document-workflows F (54/100) and it passed the safety scan; the rating is based on static analysis only.

Use this skill for building end-to-end document processing workflows and pipelines using LandingAI ADE. Trigger when users need to: (1) Process batches of documents in parallel or async, (2) Build classify-then-extract pipelines for mixed document types, (3) Prepare parsed documents for RAG systems with chunking and vector DB ingestion, (4) Load extraction results into databases like Snowflake or export to CSV/DataFrames, (5) Visualize extraction results: draw bounding box overlays on pages, crop chunk images, or highlight/annotate specific words or phrases found in documents, (6) Build Streamlit or web UIs for document processing, (7) Find and highlight specific terms within document sections using word-level grounding (e.g. highlight "L2S" in the Introduction, redact PII, annotate extracted values on the original page). This skill complements the document-extraction skill which covers ADE SDK basics. Use document-extraction to write code that executes parse/extract/split operations…

Grade
F
Quality
54 / 100
Safety
Passed
GitHub stars
13,973

Unproven: rated by static analysis only, not yet compared head-to-head.

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Our review

Architecture
63 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Not declared. Check the repository before reusing it.

Not checked yet

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  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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