nw-buddy-ssot-knowledge

Identify authoritative Single Source of Truth files in nWave repositories.

Updated Apr 15, 2026
One-click install
npx skills add https://github.com/StudentCristian/nWave-github --skill nw-buddy-ssot-knowledge
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: nw-buddy-ssot-knowledge
Source: https://github.com/StudentCristian/nWave-github/tree/main/.github/skills/nw-buddy-ssot-knowledge
Command: npx skills add https://github.com/StudentCristian/nWave-github --skill nw-buddy-ssot-knowledge

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Single Source of Truth detection — where truth lives in an nWave repo and how to avoid contradicting it across files and workflows.

Core Features & Use Cases

  • Maps authoritative sources for common concepts (Versions, Planned work, Architecture intent, Runtime behavior, Configuration, Agent / command definitions, Git state).
  • Flags and explains discrepancies between caches and SSOT sources, guiding users to authoritative files and remediation steps.
  • Useful for code reviews, repo onboarding, and automated checks to maintain consistency across the project.

Quick Start

Provide the SSOT authoritative source for a concept and surface any discrepancies across the repository.

Frequently Asked Questions about nw-buddy-ssot-knowledge

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

FAQPage Schema
How do I identify the single source of truth in a codebase to prevent configuration drift?

To identify the single source of truth, map authoritative files for versions, architecture, and configuration across your repository. This process flags discrepancies between cache files and source files, ensuring code reviews reference the true authoritative definitions and maintain repository consistency.

What is single source of truth detection and when do I need it for repository consistency?

Single source of truth detection locates the authoritative files that define project concepts like runtime behavior and versioning. You need it during code reviews and repository onboarding to surface discrepancies where multiple files diverge, preventing contradicting configurations and architecture drift.

How do I surface discrepancies between cached files and authoritative source files during a code review?

You surface discrepancies by comparing repository files against the mapped authoritative sources for concepts like versions and configuration. This flags diverging cache files, explains the mismatches, and guides users to the correct source files for remediation during code reviews.

Can I use this SSOT detection approach for architecture intent and runtime behavior files?

Yes, you can apply single source of truth detection across architecture intent and runtime behavior files. It maps these authoritative sources to detect diverging definitions, ensuring that all repository workflows and automated checks reference the correct architectural and runtime configurations.

Does single source of truth governance work for automated checks in versioning and planned work tracking?

Single source of truth governance works for automated checks by validating that versioning and planned work data reference the mapped authoritative files. It detects discrepancies between caches and source files automatically, supporting consistent repository governance across automated workflows.

Why does repository consistency fail when multiple configuration files diverge from the source?

Repository consistency fails when cache or configuration files diverge from the authoritative source, creating contradicting project definitions. Applying single source of truth detection surfaces these discrepancies, explains the mismatch, and provides remediation guidance to restore alignment.