Ingest raw documents into structured fragments with dual Markdown outputs.
npx skills add https://github.com/rd162/skills --skill document-pipeline
Please help me install this Agent Skill. Skill: document-pipeline Source: https://github.com/rd162/skills/tree/main/document-pipeline Command: npx skills add https://github.com/rd162/skills --skill document-pipeline
Ingests and transforms a mix of documents (PDF, Word, slides), diagrams, and videos into structured fragments and a knowledge base, enabling efficient downstream analysis and knowledge extraction.
Run the pipeline to ingest documents into fragments and generate a targeted survey from those fragments.
High-intent search queries and answers about installing and using this skill.
Ingesting PDF, Word, and video files to build a knowledge base requires converting raw documents into structured fragments with source-tier metadata and versioned frontmatter. This pipeline supports end-to-end workflows from ingestion to targeted surveys.
Extracting video subtitles and scene changes for document ingestion is supported using OpenAI Whisper and PySceneDetect. The pipeline transforms video content into structured fragments suitable for downstream LLM analysis.
Rendering images to WEBP during document ingestion is fully supported. The pipeline ensures dual Markdown outputs alongside WEBP image rendering, providing optimized visual data for your structured knowledge base.
Resuming document ingestion after an interruption is handled through built-in workflow orchestration. The pipeline supports incremental changes and tracks modifications, allowing you to resume processing without restarting the entire workflow.
Generating targeted survey sections from extracted document fragments involves structuring knowledge into defined sections (§1–§12). The pipeline creates a survey-ready knowledge base with source traceability and gap or ambiguity catalogs.
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