bazinga-db

Log agent interactions and orchestration state to a concurrent-safe SQLite database.

Updated Nov 7, 2025
One-click install
npx skills add https://github.com/mehdic/CDC --skill bazinga-db
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bazinga-db
Source: https://github.com/mehdic/CDC/tree/main/.claude/skills/bazinga-db
Command: npx skills add https://github.com/mehdic/CDC --skill bazinga-db

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a robust, concurrent-safe database layer for BAZINGA orchestration, replacing fragile file-based storage with a scalable SQLite backend and structured logging.

Core Features & Use Cases

  • Centralized session management, logging, and state persistence for orchestration workflows
  • Deterministic storage for logs, task groups, tokens, and skill outputs
  • Migration-friendly with automatic schema upgrades and enforced data integrity

Quick Start

Use the bazinga-db skill to log a developer interaction and verify write success by calling the integration with a sample session and agent type.

Frequently Asked Questions about bazinga-db

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

FAQPage Schema
How do I log agent interactions to a database for orchestration workflows?

bazinga-db provides concurrent-safe SQLite storage for logging agent interactions, sessions, and orchestration state. It validates all inputs, verifies writes automatically, and structures logs via CLI and Python scripts for audit trails across workflows.

Can I use SQLite for concurrent agent logging without data corruption?

Yes. bazinga-db enforces concurrent-safe writes using SQLite WAL mode, input validation, and write verification. It handles simultaneous access from multiple agents and orchestrators while maintaining data integrity.

How do I persist orchestration state and task groups reliably?

bazinga-db automatically initializes schemas and migrates data, persisting task groups, tokens, skill outputs, and session state deterministically. Structured responses via CLI and Python integration enable querying and audit verification.

What happens if my database schema is outdated or missing?

bazinga-db automatically upgrades schemas and enforces data integrity on first run. Automatic initialization eliminates manual setup and ensures validated, compatible schemas across deployments.

Can I query logs and state across multiple agents and developers?

Yes. bazinga-db centralizes session management and logging for dashboards accessible to developers, PMs, orchestrators, and QA. CLI and Python scripts enable structured queries across agents and workflows.

Why is file-based storage insufficient for orchestration logging?

File-based storage lacks concurrent-safe guarantees, structured querying, and audit trails. bazinga-db replaces fragile file systems with scalable SQLite, enabling reliable persistence, deterministic state recovery, and verified writes across concurrent workflows.