ReddRadar
Agent skill
libingest
libingest - Document ingestion pipeline. IngestPipeline orchestrates configurable transformation steps. IngestStep defines individual processors like pdf-to-images, images-to-html, extract-context, annotate-html. Converts PDF, PowerPoint, images to Schema.org annotated HTML. Use for document processing, knowledge extraction, and content transformation.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/libingest
SKILL.md
libingest Skill
When to Use
- Converting PDF documents to structured HTML
- Processing PowerPoint presentations for indexing
- Extracting semantic content from images via OCR
- Building document ingestion pipelines
Key Concepts
IngestPipeline: Orchestrates a sequence of transformation steps defined in config/ingest.yml.
IngestStep: Individual processing step (pdf-to-images, images-to-html, extract-context, annotate-html, normalize-html).
Usage Patterns
Pattern 1: Run ingestion via CLI
# Drop files in data/ingest/in/
cp document.pdf data/ingest/in/
# Run pipeline
make ingest
Pattern 2: Programmatic ingestion
import { IngestPipeline } from "@copilot-ld/libingest";
const pipeline = new IngestPipeline(config, storage, llmClient);
const result = await pipeline.process("document.pdf");
// result.output points to final HTML
Integration
Configured via config/ingest.yml. Uses libllm for vision processing. Output stored in data/ingest/pipeline/.
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