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dbs-decision

Track facts, patterns, snapshots, and open issues in a Markdown-based knowledge system.

3|Updated Jun 27, 2026
Search Tags:#markdown#productivity#knowledge-management#decision-making#project-tracking#knowledge-engineering
One-click install
npx skills add https://github.com/XinAloha/skills --skill dbs-decision-xinaloha
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dbs-decision
Source: https://github.com/XinAloha/skills/tree/main/methodology/decision-system
Command: npx skills add https://github.com/XinAloha/skills --skill dbs-decision-xinaloha

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the problem of context loss and decision fatigue in long-running projects by maintaining a persistent, four-layer local knowledge base that tracks facts, patterns, snapshots, and open questions.

Core Features & Use Cases

  • Four-Layer Knowledge Engineering: Organizes information into Facts, Patterns, Snapshots, and Open Issues to ensure clarity and traceability.
  • Decision Tracking: Provides a structured way to log decisions, perform result backfilling, and maintain state images for complex domains like business, health, or investment.
  • Use Case: If you are managing a long-term career transition or a complex business project, this skill helps you maintain a source of truth that survives session resets and provides a clear audit trail of your reasoning.

Quick Start

Trigger the decision system for your current project by typing /dbs-decision to initialize the directory structure and start tracking your state.

Frequently Asked Questions about dbs-decision

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

FAQPage Schema
How do I maintain project context and track long-term decisions across sessions?▼

A four-layer knowledge engineering system organizes long-term project information into Facts, Patterns, Snapshots, and Open Issues. This structure ensures clarity, traceability, and a clear audit trail for your reasoning.

How do I set up a local knowledge base for AI-assisted decision making?▼

You can use this local knowledge system to track complex, long-running domains like business projects, health, investments, or career transitions. It serves as a persistent source of truth that survives session resets.

How do I log decisions and perform result backfilling in a knowledge management system?▼

This approach requires a local Markdown-based directory structure to maintain persistent state. You must be comfortable managing local files to store historical context and open issues for your decision domains.

What is the best way to organize Markdown files for project tracking and decision tracking?▼

This system focuses on maintaining a local source of truth for complex, long-running domains rather than short-term tasks. If your project does not require persistent historical context, a simpler task tracker may suffice.

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