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.