research-add-fields

Append user-confirmed field definitions to an existing fields.yaml file.

4|Updated Feb 20, 2023
One-click install
npx skills add https://github.com/Hayao0819/dotfiles --skill research-add-fields
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-add-fields
Source: https://github.com/Hayao0819/dotfiles/tree/main/modules/home-manager/llm/skills/research-add-fields
Command: npx skills add https://github.com/Hayao0819/dotfiles --skill research-add-fields

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Researchers often need to evolve their outlines by attaching new field definitions to capture emerging concepts and metadata.

Core Features & Use Cases

  • Add new field definitions to an existing research outline.
  • Validate and standardize field names, descriptions, and categories across projects.
  • Use cases: updating a literature review scaffold to track experimental variables or data attributes.

Quick Start

Add new field definitions by updating the fields.yaml in the current topic with chosen field names and descriptions.

Frequently Asked Questions about research-add-fields

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

FAQPage Schema
How do I add new fields to an existing research outline?

You can add new fields to a research outline by providing names and descriptions through user prompts, which are then validated, standardized, and appended to the existing fields.yaml file in your current topic.

Can I use web search to find common metadata fields for my research topic?

Yes, you can use web search to find common metadata fields. The Skill optionally fetches common field definitions via web search to help you quickly discover and suggest relevant metadata fields for your outline.

How do I update fields.yaml with new data attributes for a literature review?

To update fields.yaml with new data attributes, the Skill identifies your existing field definitions, lets you input new names and descriptions, and appends the confirmed data attributes directly to the fields.yaml file.

Does this tool validate and standardize field names across research projects?

Yes, the tool validates and standardizes field names, descriptions, and categories to maintain consistent metadata structures across different research projects and literature review scaffolds.

What do I need to extend a research outline with new field definitions?

To extend a research outline with new field definitions, you need an existing fields.yaml file in your current topic directory, along with the names and descriptions of the new fields you want to add.

Why standardize experimental variables in a fields.yaml metadata file?

Standardizing experimental variables in a fields.yaml metadata file captures emerging concepts consistently, allowing researchers to evolve their outlines and track data attributes accurately across projects.