kk-add

Create kenkeep knowledge nodes with validation and storage under .ai/kenkeep/nodes/.

Updated Jun 22, 2026
One-click install
npx skills add https://github.com/e0ipso/devcontainer-feature-ai-assistant --skill kk-add
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kk-add
Source: https://github.com/e0ipso/devcontainer-feature-ai-assistant/tree/main/.cursor/skills/kk-add
Command: npx skills add https://github.com/e0ipso/devcontainer-feature-ai-assistant --skill kk-add

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill allows you to easily capture and add new knowledge nodes directly under the .ai/kenkeep/nodes/ directory, ensuring your project's knowledge base is always up-to-date.

Core Features & Use Cases

  • Manual Node Creation: Add new knowledge nodes manually from within the current session.
  • Persistent Storage: Nodes are written to the .ai/kenkeep/nodes/ directory, making them permanent additions to your knowledge base.
  • Review Process: Nodes can be reviewed and accepted or rejected by other team members.

Quick Start

Capture a new knowledge node by providing the kind, title, summary, tags, body, relates_to, and confidence values for the node you want to add.

Frequently Asked Questions about kk-add

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

FAQPage Schema
How do I add a knowledge node to a project knowledge base?

To add a knowledge node, you provide specific details like kind, title, summary, tags, body, relates_to, and confidence. The system performs checks to ensure content uniqueness and appropriateness before permanently storing the node.

What is the process for manual data capture in a knowledge management system?

Manual data capture involves inputting values for kind, title, summary, tags, body, relates_to, and confidence. The captured data is then written directly to a persistent project directory as a new knowledge node.

Where are newly created knowledge nodes stored for persistent document storage?

Newly created knowledge nodes are stored permanently under the `.ai/kenkeep/nodes/` directory. This ensures your project's knowledge base remains up-to-date with manually captured information.

Can team members review and accept or reject newly added project knowledge?

Yes, team members can review newly added project knowledge nodes. The system supports a review process where captured nodes can be accepted or rejected by other team members before finalizing.

What checks are performed when creating a new knowledge node?

When creating a knowledge node, the system performs checks to ensure the uniqueness and appropriateness of the content. This validation occurs before the node is permanently stored in the knowledge base.