knowledge

Query project knowledge from a structured graph for architecture and gotcha answers.

1|Updated Feb 8, 2026
One-click install
npx skills add https://github.com/goranjovic55/xdccarr --skill knowledge-goranjovic55
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: knowledge
Source: https://github.com/goranjovic55/xdccarr/tree/main/.github/skills/knowledge
Command: npx skills add https://github.com/goranjovic55/xdccarr --skill knowledge-goranjovic55

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Loads and queries project knowledge from a structured graph to accelerate architecture lookups, debugging, and knowledge maintenance.

Core Features & Use Cases

  • Knowledge-first querying: hot_cache for instant context, domain_index for fast file path lookup, and gotchas for issue diagnosis.
  • Interconnections and session patterns to anticipate user needs and guide navigation through large codebases.
  • Knowledge updates at the end of sessions to keep the graph fresh and reduce stale data.

Quick Start

Ask the AI to load and query the project knowledge graph to surface architectural details and known issues.

Frequently Asked Questions about knowledge

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

FAQPage Schema
How do I query a project knowledge graph for architecture and known issues?

Query a project knowledge graph by loading structured data to retrieve architecture details and known issues. The system uses a hot cache for instant context and a domain index for fast file path lookup during debugging.

What's the best way to maintain project knowledge and reduce stale data in a codebase?

Maintain project knowledge by updating the knowledge graph at the end of development sessions. This workflow keeps the graph fresh, reduces stale data, and preserves interconnections and session patterns for future navigation.

How does a knowledge graph help with debugging and diagnosing codebase issues?

A knowledge graph accelerates debugging by storing specific gotchas for issue diagnosis. It validates knowledge data and exposes structured insights through defined patterns and JSONL lines to anticipate user needs.

Can I use a knowledge graph for fast file path lookup across a large codebase?

Yes, you can use a knowledge graph for fast file path lookup across a large codebase. A built-in domain index supports quick navigation, while interconnections and session patterns guide users through complex project structures.

Do I need to validate knowledge data before querying a project knowledge graph?

Validating knowledge data is required because the system enforces a knowledge-first workflow. This validation ensures that structured insights surfaced through defined patterns and JSONL lines remain accurate during lookups.

What is a knowledge-first workflow for software architecture lookups?

A knowledge-first workflow prioritizes querying a structured graph for architecture lookups before exploring code. It leverages a hot cache, domain index, and gotchas to support fast context retrieval, debugging, and maintenance.