seed-question

Parse interview questions and append them to a Markdown backlog.

Updated May 29, 2026
One-click install
npx skills add https://github.com/josenaldo/gca-toolkit --skill seed-question
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: seed-question
Source: https://github.com/josenaldo/gca-toolkit/tree/main/skills/seed-question
Command: npx skills add https://github.com/josenaldo/gca-toolkit --skill seed-question

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the friction of capturing interview questions during study or research, preventing the loss of ideas before they are fully developed into structured content.

Core Features & Use Cases

  • Backlog Management: Automatically adds new questions to a centralized backlog with proper metadata.
  • Intelligent Inference: Automatically suggests categories, phases, and angles based on the question content.
  • Use Case: When you encounter an interesting interview question on social media or in an article, use this skill to register it in your backlog for later expansion into a full Q-file.

Quick Start

Use the seed-question skill to add a new interview question about system design to your backlog.

Frequently Asked Questions about seed-question

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

FAQPage Schema
How do I capture interview questions into a structured backlog without losing context?

You can capture interview questions by parsing user input and appending new entries to a designated Markdown file. This approach builds a structured backlog, preventing the loss of ideas before they are fully developed into content.

What is the best way to organize interview topics for career mentorship?

Organizing interview topics for career mentorship involves managing a structured backlog within a designated vault. This system automatically tracks pending and processed interview questions by following strict naming conventions for metadata and categorization.

Do I need an existing directory structure to manage a question database in Markdown?

Yes, managing a question database requires existing directory structures within your career mentorship vault. The system appends new entries to a designated Markdown file but relies on these pre-established folders to function correctly.

How to automatically categorize new interview questions added to a backlog?

To automatically categorize new interview questions, the system uses intelligent inference to suggest categories, phases, and angles based on the question content. It then appends these entries with proper metadata to your centralized backlog.

When should I not use a Markdown file for interview question tracking?

You should avoid using a Markdown file for interview question tracking if you lack the career mentorship vault directory structure. The system depends on these pre-existing directories and strict naming conventions to properly track pending topics.