vault-autoresearch

Perform iterative topic research and write markdown sources with frontmatter to a Vault raw directory.

4|Updated Jan 29, 2026
One-click install
npx skills add https://github.com/danmestas/wardrobe --skill vault-autoresearch
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: vault-autoresearch
Source: https://github.com/danmestas/wardrobe/tree/main/skills/vault-autoresearch
Command: npx skills add https://github.com/danmestas/wardrobe --skill vault-autoresearch

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates iterative topic research and files the synthesis into a Vault-ready raw format for later ingestion by vault-ingest.

Core Features & Use Cases

  • Iterative research loop: Decomposes topics, runs searches, collects sources, and synthesizes findings without manual handoff.
  • Vault-ready output: Writes per-topic markdown sources and a synthesis file under <vault>/.raw/ for scheduled ingestion.
  • Open-ended exploration: Handles multiple rounds and diverse sources while preserving provenance and confidence metadata.

Quick Start

Start an autoresearch on a topic and begin staging the results to the Vault.

Frequently Asked Questions about vault-autoresearch

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

FAQPage Schema
How do I automate topic research and save the synthesis into a markdown vault?

Automated topic research runs iterative search rounds and writes per-source markdown files with structured frontmatter into a vault raw directory for later ingestion. Outputs include source provenance, key claims, and confidence metadata.

How does iterative research synthesis work for staging data organization?

Iterative research synthesis operates across up to three rounds: broad search, gap fill, and optional synthesis. It collects sources, decomposes topics, and writes a synthesis file into a vault-ready raw format without manual handoff.

What is the best way to structure research provenance metadata in Obsidian?

The best way to structure research provenance is enforcing structured frontmatter in each markdown file, including type, source_url, fetched_at, topic, title, author, date_published, key_claims, and confidence fields for reliable data organization.

Can I stage raw research files for scheduled ingestion without manual handoff?

Yes, you can stage raw research files by writing per-source markdown and synthesis files into a vault raw directory. This automation files the synthesis into a vault-ready format for scheduled ingestion by downstream tools.

Does automated research support gap filling after an initial broad search?

Automated research supports gap filling as the second round of its iterative loop. After the broad search round, it identifies missing information and executes targeted searches before proceeding to optional synthesis.