How do I resume a workflow from a saved file?

To resume your work, use the command /cc:resume followed by the specific filename of the checkpoint (e.g., /cc:resume 2025-11-20-auth-execution.md).

What information is captured in a state save?

Saves include Git commit hashes, branch names, current task status, research summaries from subagents, and implementation patterns discovered during the workflow.

Where are the state files stored?

The state files are stored within the Serena MCP memory system, which provides a persistent storage layer that Claude can access across different sessions.

How do I manually save my current progress?

You can trigger a manual checkpoint at any time by using the /cc:save command. The skill will automatically detect if you are in the planning or execution stage.

State Persistence

Name: State Persistence
Author: seanGSISG

byseanGSISG

Productivity & Workflow

Saves and resumes Claude Code workflow states across research, planning, and execution phases using Serena MCP memory.

About

The State Persistence skill provides a robust mechanism for maintaining continuity during complex software development tasks. By integrating with Serena MCP, it captures granular checkpoints at every stage of the development lifecycle—from initial research and design planning to active execution and final completion. The skill automatically detects the current project phase, collects relevant Git metadata, and generates structured Markdown files that document progress. This allows developers to safely pause work and resume exactly where they left off using the /cc:resume command, ensuring that valuable context and task progress are never lost during session transitions.

Key Features

Automatic stage detection for research, planning, execution, and completion phases
Seamless integration with Serena MCP for persistent cross-session storage
Rich metadata collection including Git commits, branches, and timestamps
Manual checkpointing via the /cc:save command for on-demand state capture
Standardized Markdown memory format with YAML frontmatter for easy parsing
0 GitHub stars

Use Cases

Resuming a multi-day feature implementation without losing task context or research data
Creating an automated audit trail of design decisions and research findings for a project
Pausing execution of a complex plan to handle urgent tasks and returning to the exact task index later

About

Key Features

Automatic stage detection for research, planning, execution, and completion phases
Seamless integration with Serena MCP for persistent cross-session storage
Rich metadata collection including Git commits, branches, and timestamps
Manual checkpointing via the /cc:save command for on-demand state capture
Standardized Markdown memory format with YAML frontmatter for easy parsing
0 GitHub stars

Use Cases

Resuming a multi-day feature implementation without losing task context or research data
Creating an automated audit trail of design decisions and research findings for a project
Pausing execution of a complex plan to handle urgent tasks and returning to the exact task index later