Does this skill track token consumption?

Yes, it includes specialized commands to record and retrieve consumption data, helping you monitor how agents are utilizing resources and context.

How does the error pattern learning work?

The skill saves error signatures and their successful resolutions. As these patterns are reused and prove helpful, their confidence score increases, helping future agents solve similar issues faster.

Can I prioritize what information an agent receives?

Yes, context packages can be assigned priority levels (critical, high, medium, low), and the retrieval command automatically orders them to ensure the most important information is consumed first.

What is a context package in Bazinga DB?

A context package is a structured container used to share specific knowledge—such as research, investigation results, or decisions—between different agents in a multi-agent workflow.

Bazinga DB Context

Name: Bazinga DB Context
Author: mehdic

bymehdic

•

数据库管理

Manages cross-agent knowledge sharing, persistent learning patterns, and context consumption for multi-agent AI teams.

Bazinga DB Context is a specialized memory and learning skill designed for multi-agent development workflows within Claude Code. It enables seamless knowledge transfer by allowing agents to save and retrieve context packages—such as research findings, architectural decisions, and handoff notes—across different agent spawns. Additionally, the skill implements a persistent learning layer that tracks error patterns and successful strategies with confidence-based scoring, allowing the AI team to become more efficient by referencing past resolutions and proven methodologies during complex coding tasks.

主要功能

01Cross-agent context package sharing for research and decisions

02Granular context consumption and token usage tracking

03Strategy storage for reusable debugging and architectural patterns

042 GitHub stars

05Persistent error pattern tracking with confidence-based learning

06Priority-based retrieval system for optimized agent initialization

使用场景

01Building a project-specific knowledge base of resolved build and test errors

02Optimizing token usage by tracking and managing context consumption across agent spawns

03Handoffs between specialized agents (e.g., researcher to developer)

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add mehdic/bazinga bazinga-db-context

For use in Claude.ai and ChatGPT

Download Skill