Agent skill · Databases

obsidian-bases

Create and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of notes, or when the user mentions Bases, table views, card views, filters, or formulas in Obsidian.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeNOASSERTION
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill obsidian-bases --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 13 KB
Bundled scripts: none
Path: skills/33-Galaxy-Dawn-claude-scholar/skills/obsidian-bases/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,244
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Obsidian Bases Skill ## Workflow 1. **Create the file**: Create a `.base` file in the vault with valid YAML content 2. **Define scope**: Add `filters` to select which notes appear (by tag, folder, property, or date) 3. **Add formulas** (optional): Define computed properties in the `formulas` section 4. **Configure views**: Add one or more views (`table`, `cards`, `list`, or `map`) with `order` s

More from Auto-Empirical-Research-Skills
All skills →
About this skill
What does the obsidian-bases skill do?

Create and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of notes, or when the user mentions Bases, table views, card views, filters, or formulas in Obsidian.

How do I install it?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill obsidian-bases --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going