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DeL-TaiseiOzaki
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checkpointing

Capture CLI logs and Git activity into centralized checkpoint files.

190|33|Updated Dec 3, 2025
Search Tags:#automation#checkpointing#session-history#git-log#AI-skill-analysis#workflow-templating
One-click install
npx skills add https://github.com/DeL-TaiseiOzaki/claude-code-orchestra --skill checkpointing-del-taiseiozaki
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: checkpointing
Source: https://github.com/DeL-TaiseiOzaki/claude-code-orchestra/tree/main/.claude/skills/checkpointing
Command: npx skills add https://github.com/DeL-TaiseiOzaki/claude-code-orchestra --skill checkpointing-del-taiseiozaki

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables capturing and organizing runtime context, logs, and Git activity into centralized checkpoints, making it easy to reuse patterns across sessions.

Core Features & Use Cases

  • Session History updates CLAUDE.md, .codex/AGENTS.md, and .gemini/GEMINI.md with CLI consultation histories.
  • Full Checkpoint mode creates comprehensive .claude/checkpoints/ files containing commits, file changes, and CLI interactions.
  • Skill Analysis mode (--full --analyze) generates prompts for AI to discover reusable workflows and potential Skills.
  • Supports optional since parameter to scope historical data.

Quick Start

python checkpoint.py python checkpoint.py --full python checkpoint.py --full --analyze python checkpoint.py --since "2026-01-26"

Frequently Asked Questions about checkpointing

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

FAQPage Schema
How do I capture CLI logs and Git activity into session checkpoints?▼

To save session history, run the checkpoint.py script. It automatically updates CLAUDE.md, .codex/AGENTS.md, and .gemini/GEMINI.md with your CLI consultation histories and Git activity.

How do I analyze reusable workflows and patterns from my development sessions?▼

Run `python checkpoint.py --full --analyze` to generate AI prompts that analyze your checkpoint data. This surfaces reusable workflows and potential Skills from your Git activity and CLI interactions.

Do I need Python and Git to generate full checkpoints for my agent interactions?▼

Yes, you need Python, Git, and a functioning .claude workspace to generate checkpoints. These are required to successfully capture commits, file changes, and CLI interactions into checkpoint files.

Can I scope checkpoint historical data to a specific date range?▼

Yes, use the optional since parameter to scope historical data. Executing `python checkpoint.py --since "2026-01-26"` limits the captured Git activity and CLI logs to that specific date range.

What is the difference between a session history update and a full checkpoint?▼

Session history updates CLAUDE.md with CLI consultation histories, while full checkpoint mode creates comprehensive .claude/checkpoints/ files containing detailed commits, file changes, and CLI interactions.

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