How do I use the generated handoff prompt?

The skill provides a fenced code block at the end of the process. Simply copy that block and paste it as the first message in your next Claude Code session.

Does this skill automatically update my documentation?

It updates your project memory files and progress trackers, ensuring that your internal project documentation reflects the latest decisions and task statuses.

Why do I need a session handoff skill for Claude Code?

AI agents have limited context windows that can slow down or truncate during long tasks. This skill summarizes your progress and saves the state so you can start a fresh session with full speed and perfect memory.

Can I adjust the length of the session summaries?

Yes, you can define a token budget in your config file (economy, light, standard, or detailed) to control the depth of the generated summary.

Where is the session data stored?

Data is stored locally in your project's `.claude/memory/` directory, specifically updating files like active-context.md, progress.md, and individual session logs.

Session Handoff

Name: Session Handoff
Author: swannysec

byswannysec

Productividad y Flujo de Trabajo

Captures session state and generates optimized prompts to continue complex tasks seamlessly across new AI sessions.

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The Session Handoff skill ensures project continuity by preserving critical context when AI context windows fill up or sessions must end. It automates the synchronization of local memory files—including active context, progress trackers, and decision logs—and produces a structured, copy-pasteable prompt for the next session. By managing token budgets from 'economy' to 'detailed,' it allows developers to maintain momentum on long-running tasks without losing technical depth or project history.

Características Principales

Standardized session logging with timestamps and topic tracking
Automatic updates to active-context.md and progress.md tracking files
Copy-pasteable handoff prompts for seamless session resumption
Configurable token budgets (Economy to Detailed) for context optimization
0 GitHub stars
Automated state capture and project memory synchronization

Casos de Uso

Resuming complex coding tasks when the context window reaches its limit
Generating detailed status reports and state saves before ending a work session
Transferring project context and logic between different AI agents or environment instances

Acerca de

Características Principales

Standardized session logging with timestamps and topic tracking
Automatic updates to active-context.md and progress.md tracking files
Copy-pasteable handoff prompts for seamless session resumption
Configurable token budgets (Economy to Detailed) for context optimization
0 GitHub stars
Automated state capture and project memory synchronization

Casos de Uso

Resuming complex coding tasks when the context window reaches its limit
Generating detailed status reports and state saves before ending a work session
Transferring project context and logic between different AI agents or environment instances