Where are the session checkpoints stored?

All checkpoint data, including metadata and snapshots, is stored locally in the ~/.claude/popkit/checkpoints/ directory, organized by session ID.

Can I restore to a specific point in time?

Yes, you can use the '/checkpoint list' command to view your session history and '/checkpoint restore' with a specific ID to return to that state.

How does pop-checkpoint backup my code changes?

The skill utilizes git-based file backups, specifically leveraging git stash to capture uncommitted changes while maintaining session metadata in localized JSON files.

Does it create checkpoints automatically?

Yes, the skill includes auto-checkpoint triggers for build failures, test failures, significant file changes, and when the system detects the session is stuck.

Session Checkpoints

Name: Session Checkpoints
Author: jrc1883

byjrc1883

Productividad y Flujo de Trabajo

Manages git-based state persistence and session recovery for long-running AI development tasks.

Acerca de

The pop-checkpoint skill provides robust session management for Claude Code, allowing developers to create and restore manual or automatic checkpoints during complex workflows. By leveraging git-based file backups and JSON metadata, it ensures that your progress is protected against crashes, stuck patterns, or experimental failures. Whether you are performing a major refactor or responding to a build failure, this skill enables seamless state recovery and session continuity across long development cycles, making it essential for high-stakes coding sessions.

Características Principales

0 GitHub stars
Intelligent 'stuck pattern' detection and state saving via heartbeat integration
Automatic checkpoints triggered by build, test, or phase failures
Git-based file persistence and restoration using stash mechanisms
Comprehensive metadata tracking including tool calls, file hashes, and session state
Manual checkpointing for risky refactors, merges, and experiments

Casos de Uso

Automating state backups when long-running build or test processes fail during AI execution
Recovering workspace state after a failed major refactoring attempt or complex merge
Creating restore points before experimental changes to ensure a safe rollback path

Acerca de

Características Principales

0 GitHub stars
Intelligent 'stuck pattern' detection and state saving via heartbeat integration
Automatic checkpoints triggered by build, test, or phase failures
Git-based file persistence and restoration using stash mechanisms
Comprehensive metadata tracking including tool calls, file hashes, and session state
Manual checkpointing for risky refactors, merges, and experiments

Casos de Uso

Automating state backups when long-running build or test processes fail during AI execution
Recovering workspace state after a failed major refactoring attempt or complex merge
Creating restore points before experimental changes to ensure a safe rollback path