conversation-logger

Name: conversation-logger
Availability: InStock
Author: jackzhaojin

Capture AI coding agent conversations as timestamped markdown logs.

1|Updated Mar 22, 2026

Search Tags:#markdown #session #log #timestamp #ai-coding #agent-detection

Ready to run

npx skills add https://github.com/jackzhaojin/ai-builder-kit --skill conversation-logger

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: conversation-logger
Source: https://github.com/jackzhaojin/ai-builder-kit/tree/main/skills/conversation-logger
Command: npx skills add https://github.com/jackzhaojin/ai-builder-kit --skill conversation-logger

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Log AI coding agent sessions as timestamped markdown for project documentation.

Core Features & Use Cases

Agent detection to identify running AI agent and determine the correct history file
Timestamped prompts with concise responses for durable project records
Cross-agent support, including Claude Code, OpenAI Codex CLI, and GitHub Copilot
Safe, nongenerative logging workflow suitable for documentation

Quick Start

Ask the user where they'd like to save the log and create or append to the prompt-log.md at that location.

Frequently Asked Questions about conversation-logger

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

FAQPage Schema

How do I log AI coding agent sessions as timestamped markdown?▼

You can log AI coding agent sessions as timestamped markdown by capturing prompts verbatim and summarizing responses into a standardized prompt-log.md file. This ensures your AI coding history is preserved as durable project documentation.

Does this logging workflow support Claude Code, OpenAI Codex CLI, and GitHub Copilot?▼

Yes, the logging workflow supports Claude Code, OpenAI Codex CLI, and GitHub Copilot. It features agent detection to automatically identify the running AI coding agent and write to the correct history file.

What is the best way to document prompts and responses from AI coding agents?▼

The best way to document AI coding agent interactions is to preserve prompts verbatim while summarizing the responses. This creates a concise, standardized markdown log entry with a header containing the agent name and timestamp.

How does agent detection work for AI coding session logs?▼

Agent detection for AI coding session logs works by identifying the specific running AI agent, such as Claude Code or OpenAI Codex CLI. Once detected, it determines and writes the timestamped markdown entries to the correct project history file.

Can I append new AI coding session logs to an existing markdown file?▼

Yes, you can append new AI coding session logs to an existing markdown file. After specifying your desired save location, the logging workflow will create or append to the prompt-log.md file to maintain a continuous project record.