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.