work-logs-prompt-log

Write complete dialogue session logs to timestamped Markdown files.

Updated Jul 28, 2025
One-click install
npx skills add https://github.com/shomah4a/claude-code-configure --skill work-logs-prompt-log
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: work-logs-prompt-log
Source: https://github.com/shomah4a/claude-code-configure/tree/main/.claude/skills/work-logs-prompt-log
Command: npx skills add https://github.com/shomah4a/claude-code-configure --skill work-logs-prompt-log

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill records the user’s input and the AI’s responses during a session to preserve a complete, replayable trace of the conversation for debugging and reproducibility.

Core Features & Use Cases

  • Prompt logging: Save user prompts and corresponding AI outputs to a time-stamped markdown file.
  • Reproducibility: Enables exact replay of sessions for PR reviews or audits.
  • Reference and context: Include clarifications or follow-up questions.

Quick Start

Write the prompt log to ~/.claude/prompt-log/${repo_name}/${date time prefix}_$description.md. Asia/Tokyo time is used.

Frequently Asked Questions about work-logs-prompt-log

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

FAQPage Schema
How do I capture a complete prompt log of my conversation session?

Prompt logging saves your user inputs and AI responses to a timestamped Markdown file at ~/.claude/prompt-log/${repo_name}/${date_time_prefix}_${description}.md. This preserves the full dialogue without truncation, using Asia/Tokyo time for the timestamp.

Why would I need to log prompts for reproducibility?

Logging prompts creates a replayable trace of your entire session, enabling exact reproduction for PR reviews, audits, or debugging. You can reference the exact inputs and outputs that led to a decision or result.

Can I use prompt logs across different projects?

Yes. Logs are organized by repository name in the directory structure, so you can maintain separate timestamped logs for each project and access them later for reference or documentation.

What information gets captured in the prompt log file?

The log captures user prompts, corresponding AI outputs, and any confirmations from the session. Long inputs are preserved without truncation in Markdown format for complete interaction history.

How are prompt logs named and organized?

Logs use the naming format ${date_time_prefix}_${description}.md with dates in YYYY-MM-DD_HH-MM format (Asia/Tokyo timezone) and are stored in ~/.claude/prompt-log/${repo_name}/ for organized access by project and time.