knowledge

Save and retrieve insights as structured Markdown files.

Updated Feb 3, 2026
One-click install
npx skills add https://github.com/aurelio-amerio/phd-thesis --skill knowledge-aurelio-amerio
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: knowledge
Source: https://github.com/aurelio-amerio/phd-thesis/tree/main/.agent/skills/knowledge
Command: npx skills add https://github.com/aurelio-amerio/phd-thesis --skill knowledge-aurelio-amerio

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill manages a persistent store of insights, allowing you to save valuable information from conversations and retrieve it later for research or writing tasks.

Core Features & Use Cases

  • Save Insights: Store curated definitions, methodologies, results, and references as structured Markdown files.
  • Retrieve Insights: Search and synthesize existing knowledge based on relevance to the current topic.
  • Use Case: Before starting a new chapter outline, use this Skill to retrieve all previously saved insights related to "dark matter density profiles" to ensure continuity and avoid redundant research.

Quick Start

Use the knowledge skill to save the current conversation's key findings.

Frequently Asked Questions about knowledge

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

FAQPage Schema
How do I save and retrieve research insights across different conversations?

You can save and retrieve research insights by using a persistent Markdown file store that records key findings and allows you to search past information by filenames, tags, and chapter relevance. This ensures continuity across writing tasks and prevents redundant literature research.

What is the best way to manage persistent knowledge for academic writing tasks?

The best way to manage persistent knowledge for academic writing is to store curated definitions, methodologies, and references as structured Markdown files. You can then search and synthesize this existing knowledge base whenever you start a new chapter outline or paper analysis.

Can I use Markdown files to build a searchable insight store for literature research?

Yes, you can use Markdown files to build a searchable insight store for literature research. The system supports saving new insights and retrieving past information based on filenames, tags, and chapter relevance, integrating directly with paper analysis workflows.

Does this knowledge management approach work without external dependencies?

Yes, this knowledge management approach works without external dependencies. It relies entirely on managing a persistent, searchable store of insights using local Markdown files, requiring no additional frameworks or external libraries to save and retrieve your data.

How do I retrieve previously saved insights before starting a new chapter outline?

To retrieve previously saved insights before starting a new chapter outline, you search your persistent store using filenames, tags, and chapter relevance. This synthesizes existing knowledge related to your current topic, ensuring continuity and avoiding redundant research efforts.