dataview-metadata

Organizes frontmatter, inline, and implicit fields for Dataview queries.

Updated Aug 27, 2026

Search Tags:#yaml #obsidian #metadata #notes #frontmatter #dataview #inline-fields

Ready to run

npx skills add https://github.com/benoberkfell/claude-plugins --skill dataview-metadata

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: dataview-metadata
Source: https://github.com/benoberkfell/claude-plugins/tree/main/plugins/dataview/skills/dataview-metadata
Command: npx skills add https://github.com/benoberkfell/claude-plugins --skill dataview-metadata

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Dataview requires structured metadata to power queries. This skill guides you in organizing frontmatter, inline fields, and implicit fields so notes are easily searchable and sortable.

Core Features & Use Cases

Frontmatter-based metadata for page-wide attributes (dates, authors, categories).
Inline fields embedded in notes for narrative context without breaking flow.
Implicit fields automatically exposed by Dataview (tags, links, tasks, file properties).
Patterns for Obsidian usage like daily notes, book tracking, projects, and task management to support scalable querying.

Quick Start

Define frontmatter, inline fields, or implicit fields to structure metadata for Dataview queries.

Frequently Asked Questions about dataview-metadata

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

FAQPage Schema

How do I structure Obsidian note metadata for Dataview queries?▼

Structure Obsidian note metadata for Dataview by defining frontmatter for page-wide attributes, using inline fields for narrative context, and leveraging implicit fields like tags and file properties for precise filtering and grouping.

What is the difference between frontmatter and inline fields in Obsidian notes?▼

Frontmatter provides page-wide attributes like dates and authors at the top of Obsidian notes, while inline fields embed metadata within the text body to maintain narrative flow without breaking the document structure.

Can I use Dataview metadata for daily notes and project tracking in Obsidian?▼

Yes, Dataview metadata supports Obsidian usage patterns like daily notes, book tracking, projects, and task management, enabling scalable querying and reporting across large vaults with precise filtering.

Why do my Dataview queries return inconsistent results across my Obsidian vault?▼

Inconsistent Dataview query results often occur when note metadata lacks clear field naming and type conventions, making it difficult to accurately filter, group, and report data across the vault.

Do I need YAML frontmatter to use Dataview in Obsidian?▼

YAML frontmatter is not strictly required to use Dataview, as you can also utilize inline fields and implicit fields exposed by Dataview, but clear frontmatter helps ensure consistent query results.

What is the best way to organize note metadata for large Obsidian vaults?▼

The best way to organize note metadata for large Obsidian vaults is to establish clear field naming, type conventions, and reference guidance, supporting scalable Dataview querying across projects and daily notes.