research-and-vault

Orchestrate web research into atomic claims and durable knowledge notes.

40|6|Updated Jul 11, 2026
One-click install
npx skills add https://github.com/magnus919/agent-skills --skill research-and-vault
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-and-vault
Source: https://github.com/magnus919/agent-skills/tree/main/bundles/research-and-vault
Command: npx skills add https://github.com/magnus919/agent-skills --skill research-and-vault

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the problem of fragmented research processes by enforcing a consistent, repeatable workflow for gathering information and turning it into permanent, high-quality notes.

Core Features & Use Cases

  • Structured Workflow: Orchestrates a multi-step process from initial web research to atomic claim extraction and final synthesis.
  • Knowledge Integrity: Ensures source URLs and dates are captured before interpretation, preventing information decay.
  • Use Case: Use this when you need to perform deep-dive research on a new technology or market trend and want to ensure the resulting notes are structured, verifiable, and ready for long-term storage in your knowledge base.

Quick Start

Load the research-and-vault skill to execute the full research-to-note sequence for the topic of your choice.

Frequently Asked Questions about research-and-vault

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

FAQPage Schema
What is a structured research-to-note workflow for knowledge management?

A structured research-to-note workflow standardizes information gathering by chaining web research with atomic claim extraction and durable knowledge synthesis. It ensures source attribution is captured before interpretation, preventing information decay and creating verifiable notes.

How do I document research findings with source attribution and gap analysis?

You document research findings by enforcing a multi-stage process that captures source URLs and dates immediately during web research. This is followed by atomic claim extraction and final knowledge synthesis to identify gaps and ensure long-term storage readiness.

Can I use this for deep-dive research on a new technology or market trend?

Yes, you can use this for deep-dive research on new technologies or market trends. It enforces a repeatable, modular process that integrates existing domain-specific research capabilities to produce structured, verifiable notes for your knowledge base.

What's the best way to extract atomic claims from web research?

The best way to extract atomic claims is through a standardized workflow that gathers web-based information first, then isolates specific claims with their source URLs and dates before interpretation. This ensures knowledge integrity and prevents fragmented research processes.

Does this knowledge synthesis approach work without dependencies?

Yes, this knowledge synthesis approach works without external dependencies. It orchestrates a self-contained, modular workflow that integrates existing domain-specific research and writing capabilities to transform raw information into durable knowledge.

Why should I standardize research into durable knowledge instead of taking regular notes?

Standardizing research into durable knowledge solves the problem of fragmented research processes by enforcing consistency. It captures source attribution before interpretation, preventing information decay and ensuring notes remain structured and verifiable for long-term storage.