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suss-bead

Enforce bead writing conventions and validation in a structured knowledge graph.

Updated Mar 30, 2022
Search Tags:#documentation#knowledge graph#validation#data integrity#bead conventions#AI agent protocol
One-click install
npx skills add https://github.com/davidsu/dotfiles --skill suss-bead
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: suss-bead
Source: https://github.com/davidsu/dotfiles/tree/main/claude/skills/suss-bead.ln
Command: npx skills add https://github.com/davidsu/dotfiles --skill suss-bead

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill ensures AI agents consistently understand and interact with a structured knowledge graph, preventing misinterpretations and ensuring data integrity.

Core Features & Use Cases

  • Standardized Bead Writing: Enforces naming conventions, section structure, and attribution for creating new knowledge entries.
  • Contextual Reading Guidance: Provides protocols for traversing parent-child relationships and selectively loading information to maintain context.
  • Data Validation: Includes tools to validate critical components like Mermaid diagrams before they are committed to the knowledge graph.
  • Use Case: An AI agent needs to write a new bead about a software feature. This Skill guides it through creating a unique ID, writing a concise summary, attributing sources, and ensuring any diagrams are syntactically correct, preventing corrupted knowledge.

Quick Start

Use the suss-bead skill to understand how to write a new bead by reading the WRITING.md resource.

Frequently Asked Questions about suss-bead

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

FAQPage Schema
How do I enforce ID naming conventions in an AI knowledge graph?▼

This Skill enforces ID naming conventions for AI knowledge graphs by validating bead structures, section hierarchies, and inline source attribution to prevent data misinterpretation.

What is the best way to validate Mermaid diagrams before committing to a knowledge graph?▼

Validating Mermaid diagrams before a knowledge graph commit requires running validation scripts that verify syntax, preventing corrupted knowledge entries from entering the structured system.

How do AI agents traverse parent-child relationships when reading a knowledge graph?▼

AI agents traverse parent-child relationships in a knowledge graph using contextual reading protocols that support parent traversal and selective context loading to maintain accurate information hierarchy.

How do you handle contradiction escalation in a structured knowledge graph?▼

Contradiction escalation in a structured knowledge graph is handled through built-in protocols that detect conflicting data and enforce escalation procedures to maintain data integrity.

Do I need inline source attribution when writing new knowledge graph entries?▼

Inline source attribution is required when writing new knowledge graph entries to ensure data integrity and allow AI agents to consistently understand and verify structured information.

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