enrich

Automate document onboarding into a vault with bidirectional linking and ingest recommendations.

Updated Jun 13, 2026
One-click install
npx skills add https://github.com/Seth090502/osanwe-public --skill enrich-seth090502
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: enrich
Source: https://github.com/Seth090502/osanwe-public/tree/main/.claude/skills/enrich
Command: npx skills add https://github.com/Seth090502/osanwe-public --skill enrich-seth090502

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, ruamel.yaml, frontmatter-linter, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of onboarding documents into a vault, ensuring they are placed correctly, linked bidirectionally, and recommended for ingestion if valuable.

Core Features & Use Cases

  • Autonomous Document Onboarding: Automatically routes and writes documents to their canonical home in the vault.
  • Symmetric Back-Linking: Creates bidirectional links between the document and any peer files it references.
  • Ingest Recommendations: Evaluates whether the document should be ingested for further analysis and provides a recommendation.
  • Use Case: When you have a research document, you can use this Skill to automatically onboard it into the vault, ensuring it's correctly linked and evaluated for potential ingestion.

Quick Start

Use the /enrich command with the document you want to onboard.

Frequently Asked Questions about enrich

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

FAQPage Schema
How do I automate document onboarding into a vault with bidirectional linking?

Automating document onboarding utilizes deterministic rule matching to route files to their canonical home and establishes symmetric back-linking between the document and referenced peer files.

What is symmetric back-linking in vault management?

Symmetric back-linking is the automated creation of bidirectional links between an onboarding document and any peer files it references, ensuring correct relational placement within the vault structure.

How do I evaluate documents for ingest recommendations during vault onboarding?

Evaluating documents for ingest recommendations involves a structured approach that assesses document value during the routing process to determine if it warrants further analysis.

Do I need Python to automate document routing and frontmatter processing?

Yes, Python is required for execution, specifically utilizing the ruamel.yaml and frontmatter-linter dependencies to parse and process documents during the vault onboarding workflow.

Does document routing use deterministic rule matching for file placement?

Document routing uses deterministic rule matching to autonomously evaluate files and write them to their correct canonical home within the vault based on structured processing logic.