memory/vault-management

Store, query, and archive timestamped entries across Starlight Vaults.

6|2|Updated Dec 18, 2025
One-click install
npx skills add https://github.com/frankxai/Starlight-Intelligence-System --skill memory-vault-management
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: memory/vault-management
Source: https://github.com/frankxai/Starlight-Intelligence-System/tree/main/skills/memory/vault-management
Command: npx skills add https://github.com/frankxai/Starlight-Intelligence-System --skill memory-vault-management

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Starlight Vaults store persistent memory across multiple vaults, but a single, coherent interface is needed to store, retrieve, and organize entries with consistent structure and governance.

Core Features & Use Cases

  • Vault Write: add timestamped, titled entries with tags to the appropriate vault.
  • Vault Read/Query: search by keywords, tags, and date ranges across all vaults; retrieve and link related entries.
  • Vault Maintenance: archive or prune old operational entries, ensure index accuracy, and detect duplicates.

Quick Start

Store a new vault entry with a timestamp, title, category, content, and confidence score in the appropriate vault and confirm it is indexed.

Frequently Asked Questions about memory/vault-management

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

FAQPage Schema
How do I store timestamped entries with tags in a persistent memory vault?

To store persistent memory vault entries, you write a timestamped, titled entry with category tags, content, and a confidence score into the appropriate vault, which then automatically confirms indexing across the maintained index.

Can I search and query across multiple memory vaults by keywords or date ranges?

Yes, memory vault querying supports searching by keywords, tags, and date ranges across all vaults simultaneously, retrieving and linking related entries to ensure coherent cross-vault information retrieval.

What is cross-vault reconciliation and how does it work for persistent memory?

Cross-vault reconciliation is the process of detecting duplicate entries and ensuring index accuracy across multiple persistent memory vaults under governance constraints to maintain a coherent, searchable data structure.

How do I archive or prune old operational entries from my memory vault?

Vault maintenance allows you to archive or prune old operational entries from memory vaults, detecting duplicates and ensuring the maintained index remains accurate and up to date.

Do I need to provide a confidence score when adding a new memory vault entry?

Yes, providing a confidence score is a required part of the structured entry format when writing to a memory vault, alongside the timestamp, descriptive title, category tags, and content.

What's the best way to organize persistent memory entries with consistent structure and governance?

Organizing persistent memory entries requires applying structured, searchable formats with timestamped entries, descriptive titles, category tags, related links, and a maintained index under governance constraints across all vaults.