knowledge

Manage a structured knowledge base in markdown files for cross-session AI projects.

23|4|Updated Sep 5, 2013
One-click install
npx skills add https://github.com/drn/dots --skill knowledge-drn
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: knowledge
Source: https://github.com/drn/dots/tree/main/agents/skills/knowledge
Command: npx skills add https://github.com/drn/dots --skill knowledge-drn

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps manage a structured knowledge base for capturing durable facts, entities, and patterns across AI sessions, preventing knowledge loss and improving AI recall.

Core Features & Use Cases

  • Knowledge Base Management: Initialize, add topics, update existing topics, and view the status of your project's knowledge base.
  • Structured Capture: Organizes information into topic files with a central index for easy retrieval and management.
  • Use Case: When working on a complex project, use this Skill to add new technical details or architectural decisions to the knowledge base, ensuring that this information is readily available for future reference by you or an AI assistant.

Quick Start

Initialize a new project knowledge base by running the knowledge skill with the init command.

Frequently Asked Questions about knowledge

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

FAQPage Schema
How do I capture project knowledge for AI context across multiple sessions?

To capture project knowledge for AI context across sessions, you need a structured knowledge base that stores durable facts and entities in markdown files. This prevents knowledge loss by maintaining a persistent record of architectural decisions and technical details.

How do I initialize a knowledge base for project management and information capture?

To initialize a knowledge base for project management, run the init command to create a designated context directory. This sets up a central index and topic file structure for organizing information and managing durable facts across your development sessions.

What is the best way to manage technical documentation and prevent AI knowledge loss?

The best way to manage technical documentation and prevent AI knowledge loss is using a structured knowledge base with a central index. Organizing information into dedicated topic files ensures persistent facts and patterns remain readily available for future AI recall.

Do I need file system access to manage a structured knowledge base for AI development?

Yes, you need file system access to manage a structured knowledge base for AI development. The system requires permissions to create and modify markdown files within a designated context directory to ensure durable cross-session information capture.

Can I update existing topics in a project knowledge base after initial information capture?

Yes, you can update existing topics in a project knowledge base after initial information capture. The system supports adding new topics and modifying current ones, allowing you to maintain accurate, durable facts and entities throughout the project lifecycle.