bibliotecario

Sanitize approved documents and persist them immutably with indexing artifacts.

Updated Apr 24, 2026
One-click install
npx skills add https://github.com/Aurora-AI/Elysiancorpfront --skill bibliotecario-aurora-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bibliotecario
Source: https://github.com/Aurora-AI/Elysiancorpfront/tree/main/.aurora/skills/bibliotecario
Command: npx skills add https://github.com/Aurora-AI/Elysiancorpfront --skill bibliotecario-aurora-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Custodia memory management for cognitive ingestion pipelines by ensuring secure sanitization, immutable persistence, and reliable indexing of approved documents, enabling traceability and governance across downstream AI stages.

Core Features & Use Cases

  • Sanitizes incoming material to remove PII and sensitive data while preserving semantic structure.
  • Persists the sanitized document immutably in the vault Raw path, and prepares a Processing package for vector and graph indexing (Processed path).
  • Structures chunks, embedding metadata, and graph relationships for Qdrant and Neo4j, then emits a manifest (vault_manifest.json) and auto-triggers Stage 3 (Scientist) for system evolution.

Quick Start

Ingest a human-approved document and instruct the system to sanitize, vault, and prepare for indexing.

Frequently Asked Questions about bibliotecario

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

FAQPage Schema
How do I sanitize documents and prepare them for Qdrant and Neo4j indexing?

To sanitize documents for Qdrant and Neo4j indexing, the system removes PII while preserving semantic structure, then structures chunks, embedding metadata, and graph relationships into a Processing package for downstream vector and graph database ingestion.

What is immutable document persistence in a cognitive ingestion workflow?

Immutable document persistence in cognitive ingestion is the secure vaulting of sanitized material into a Raw path, ensuring traceability and governance by deriving a document_id from the content hash and generating a vault_manifest.json for provenance.

How do I generate a vault manifest with content hashing for approved documents?

To generate a vault manifest with content hashing, the system processes human-approved documents, derives a unique document_id from the content hash, and automatically emits a vault_manifest.json file containing the required provenance and indexing metadata.

Does cognitive ingestion require human approval before document sanitization and vaulting?

Yes, cognitive ingestion requires human approval before document sanitization and vaulting, operating within a staged workflow where an approved document triggers the removal of sensitive data and immutable persistence in the vault.

What is the best way to structure chunks and graph metadata for Neo4j and Qdrant?

The best way to structure chunks and graph metadata for Neo4j and Qdrant is to persist the sanitized document immutably, then automatically prepare a Processing package that structures chunks, embedding metadata, and graph-ready relationships for indexing.

Why does document ingestion trigger a downstream Scientist stage automatically?

Document ingestion triggers a downstream Scientist stage automatically to enable system evolution, ensuring that once the vault_manifest.json is generated and indexing artifacts are prepared, the pipeline advances to the next cognitive processing phase.