document-enricher

Merge research findings into original documents to generate versioned enriched Markdown.

3|Updated Jan 12, 2026

Search Tags:#versioning #workflow-automation #knowledge-graph #ai-assisted #research-integration #reference-docs #document-enrichment

Ready to run

npx skills add https://github.com/arbgjr/sdlc_agentico --skill document-enricher

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: document-enricher
Source: https://github.com/arbgjr/sdlc_agentico/tree/main/.claude/skills/document-enricher
Command: npx skills add https://github.com/arbgjr/sdlc_agentico --skill document-enricher

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires yaml, and includes scripts (resource) and references (resource) components.

What problem does it solve?

The Document Enricher automates the integration of research findings into existing reference documents, preserving originals while creating enriched, versioned iterations for knowledge graph indexing.

Core Features & Use Cases

Automatic enrichment: detects related documents, merges findings with originals, and creates enriched markdown files.
Versioned enrichment: maintains a history of enrichments and updates the knowledge graph accordingly.
Use Case: A team's internal wiki becomes outdated; run enrichment after research tasks to refresh documents with new findings while keeping originals intact.

Quick Start

Run the enrichment workflow by supplying a document entry from the index and a JSON research payload to generate an enriched Markdown and a new corpus node.

Frequently Asked Questions about document-enricher

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automatically integrate research findings into existing reference documents?▼

Document enrichment merges original content with new research findings to produce versioned iterations. It generates enriched Markdown files and updates knowledge graph nodes, keeping original documents intact while refreshing reference materials across SDLC phases.

How do I update a knowledge graph with new research findings from documents?▼

Updating a knowledge graph with new research involves merging findings with original documents to produce versioned enrichments. The workflow generates enriched Markdown, creates corpus nodes, and applies updates to the index and graph automatically.

Can I refresh outdated internal wiki documents while preserving the original files?▼

Yes, you can refresh outdated internal wiki documents while preserving originals by running an enrichment workflow. It creates versioned enriched Markdown iterations with new findings, maintaining a history of updates while keeping original files intact.

What do I need to start enriching documents with research data?▼

To start enriching documents, you need a document entry from your index and a JSON research payload. Supplying these inputs to the workflow generates an enriched Markdown file, enrichment metadata, and a new corpus node for graph indexing.

Does document enrichment support manual workflows or is it fully automatic?▼

Document enrichment supports both automatic and manual workflows. Automatic mode detects related documents and merges findings to create enriched files, while manual workflows let you supply specific document entries and research payloads to control the process.

When should I avoid automated document enrichment for reference materials?▼

You should avoid automated document enrichment when no related research exists to refresh the reference materials. The workflow applies specifically when new research findings are available to merge with original content across SDLC phases.