cientista

Cross-reference Vault documents with factory context to generate aurora_evolution_delta.md and evolution_checkpoint.json.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

The Cientista skill translates indexed and ingested knowledge into concrete architectural and product evolution delta artifacts, enabling rapid cross-referencing across vaults, the Ozzmosis index, and the factory state.

Core Features & Use Cases

  • Cross-reference new knowledge with Vault manifests, factory context, and the Ozzmosis catalog to surface obsolescence, gaps, and opportunities.
  • Generate aurora_evolution_delta.md detailing surgical improvements, required checkpoints, and new or updated skills.
  • Produce Aurora Intelligence Briefs to support executive decision-making and handoff to advisors.

Quick Start

Ingest a Vault document and trigger the cross-reference analysis to produce aurora_evolution_delta.md and the evolution_checkpoint.json.

Frequently Asked Questions about cientista

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

FAQPage Schema
How do I cross-reference ingested documents with a knowledge vault to find gaps?

Cross-reference ingested documents by comparing them against Vault manifests and factory context to surface obsolescence, gaps, and opportunities. Apply the analysis across repository state, indices, and the skill catalog to generate an evolution delta and a mandatory checkpoint.

What is an evolution delta and when do I need it for my skill catalog?

An evolution delta is an artifact detailing surgical improvements, required checkpoints, and new or updated skills. You need it when translating indexed and ingested knowledge into concrete architectural and product evolution artifacts to map each delta to the affected module.

How to generate an aurora_evolution_delta.md from repository state and indices?

Ingest a Vault document and trigger the cross-reference analysis to produce aurora_evolution_delta.md and evolution_checkpoint.json. The analysis applies across repository state, indices, and the skill catalog, citing the source material for every enhancement.

Does cross-referencing new knowledge require existing factory context?

Yes, cross-referencing new knowledge requires existing factory context and Vault manifests to surface obsolescence and opportunities. The Skill translates indexed knowledge into evolution delta artifacts by cross-referencing across vaults, the Ozzmosis index, and the factory state.

What's the best way to map knowledge ingestion deltas to affected modules?

The best way to map knowledge ingestion deltas is to cross-reference ingested documents with Vault manifests to generate an aurora_evolution_delta.md. This artifact cites the source material for every enhancement and clearly maps each delta to the affected module, skill, or area.

Why does cross-referencing vaults produce a mandatory evolution_checkpoint.json?

Cross-referencing vaults produces a mandatory evolution_checkpoint.json to serve as a structural checkpoint alongside the aurora_evolution_delta.md. This ensures that every surfaced obsolescence, gap, and opportunity for evolution is formally recorded before architectural changes are applied.