chat-logger

Log chat messages to a local SQLite database with timestamps and session IDs.

128|31|Updated Feb 13, 2026

Search Tags:#logging #auditing #sqlite #history #conversation #chat log

Ready to run

npx skills add https://github.com/besoeasy/open-skills --skill chat-logger

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: chat-logger
Source: https://github.com/besoeasy/open-skills/tree/main/skills/chat-logger
Command: npx skills add https://github.com/besoeasy/open-skills --skill chat-logger

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a robust solution for logging all chat messages to a local SQLite database, enabling searchable history, auditing, and analytics without relying on external services.

Core Features & Use Cases

Persistent Chat History: Stores all user and assistant messages with timestamps and session IDs.
Searchable Archive: Allows for easy retrieval of past conversations based on keywords or session.
Auditing & Analytics: Provides a reliable record for reviewing interactions and understanding conversation patterns.
Use Case: When building a customer support chatbot, use this Skill to log every interaction, allowing agents to review past conversations with a customer or search for solutions to common issues.

Quick Start

Log a user message with the content "Hello, how are you?" to session "session_123".

Frequently Asked Questions about chat-logger

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

FAQPage Schema

How do I log chat messages to a SQLite database for conversation history?▼

To log chat messages to SQLite, use a defined schema capturing session IDs, timestamps, sender, content, and metadata. This approach stores interactions locally, enabling searchable history and auditing without external services.

Can I store conversation history locally for customer support chatbot auditing?▼

Yes, you can store conversation history locally for auditing by logging every chat interaction to a SQLite database. This allows agents to review past customer conversations and search for common solutions.

Does this chat logging approach work with Python and Node.js implementations?▼

Yes, this chat logging approach supports both Python and Node.js implementations. It uses a defined database schema for messages and metadata, allowing you to integrate it into either environment seamlessly.

How do I search past chat logs by keywords or session ID?▼

You can search past chat logs by querying the local SQLite database using keywords or session IDs. This enables efficient retrieval of specific conversation history and content from the searchable archive.

What is the best way to audit chat interactions without external services?▼

The best way to audit chat interactions without external services is logging them to a local SQLite database. This provides a reliable, persistent record for reviewing interactions and understanding conversation patterns.

What metadata is captured when logging chat messages to SQLite?▼

When logging chat messages to SQLite, the captured metadata includes timestamps, session IDs, sender information, message content, and additional metadata. This schema enables efficient querying and auditing of conversation history.