vaultli

Organize, validate, and search document collections using JSONL indexes.

2|Updated Feb 22, 2026

Search Tags:#knowledge management #validation #search #metadata #file indexing

Ready to run

npx skills add https://github.com/weisberg/agent_tools --skill vaultli

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: vaultli
Source: https://github.com/weisberg/agent_tools/tree/main/tools/vaultli
Command: npx skills add https://github.com/weisberg/agent_tools --skill vaultli

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the management of structured knowledge repositories, enabling quick indexing, validation, and retrieval of documents with consistent metadata.

Core Features & Use Cases

Metadata Standardization: Attaches consistent, schema-aligned metadata to diverse files.
Index Building & Validation: Creates a fast lookup index and ensures vault integrity.
Use Case: A team maintaining project documentation can regularly index and validate their vault, ensuring all assets are discoverable and consistent, to facilitate knowledge sharing and onboarding.

Quick Start

Use vaultli to initialize a new vault, add markdown documents, and build the index for easy access.

Frequently Asked Questions about vaultli

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

FAQPage Schema

How do I organize and search structured document collections using a JSONL index?▼

Metadata standardization for file indexing is the process of attaching consistent, schema-aligned metadata to diverse files, which enables fast lookup and ensures vault integrity across your knowledge repository.

What is the best way to validate file-based knowledge assets for team onboarding?▼

Validating file-based knowledge assets for team onboarding involves creating a fast lookup index and running vault integrity checks to ensure all documentation is discoverable and consistent for new members.

Can I use a minimal configuration system to index markdown documents across diverse formats?▼

Yes, you can index markdown documents across diverse formats with minimal configuration by initializing a vault, adding your files, and building the index to ensure both human and agent discoverability.

Does knowledge management with consistent metadata schemas work for project documentation maintenance?▼

Knowledge management with consistent metadata schemas works for project documentation maintenance by allowing teams to regularly index and validate their vault, ensuring all assets remain discoverable and consistent over time.

What are the limitations of using JSONL indexes for file indexing in knowledge repositories?▼

Using JSONL indexes for file indexing in knowledge repositories focuses on structured document collections and metadata validation, targeting discoverability rather than handling unstructured data or complex relational database queries.