Where is the session data stored?

All project memory, including session logs, decisions, and progress reports, is stored locally in your repository under the .claude/memory/ directory.

When should I use the Session Handoff skill?

You should use it when your context window is filling up, before ending a productive coding session, or when a complex task spans multiple days.

How does this skill handle token limits?

The skill includes a token budget check with four levels: economy, light, standard, and detailed, allowing you to control the size of the summary based on your context needs.

What is a Session Handoff?

It is a structured process that packages current project state, including completed work and remaining tasks, into a prompt that allows an AI agent to continue work in a fresh session without losing progress.

Session Handoff

Name: Session Handoff
Author: swannysec

byswannysec

Productivity & Workflow

Generates comprehensive handoff packages to ensure seamless task continuation across multiple AI chat sessions.

About

Session Handoff is a specialized utility designed to solve the 'context wall' problem in AI-driven development by creating a structured bridge between sessions. It automatically synchronizes current progress, architectural decisions, and active file states into a local memory system, then generates a copy-pasteable prompt that allows a fresh Claude session to resume work with full historical awareness. This skill is essential for managing long-running projects where the context window might otherwise become saturated or when pausing work between sessions.

Key Features

Context-aware prompt generation for seamless session transitions
Configurable summary levels (economy to detailed) based on token budgets
0 GitHub stars
Structured capture of Architectural Decision Records (ADRs) and blockers
Standardized session logging with timestamps and topic-based filing
Automated memory synchronization with active-context and progress trackers

Use Cases

Ending a workday and preparing a status report to resume efficiently the next morning
Transferring complex, multi-step coding tasks between different AI agent instances
Transitioning to a new session when the Claude context window is reaching its limit

About

Key Features

Context-aware prompt generation for seamless session transitions
Configurable summary levels (economy to detailed) based on token budgets
0 GitHub stars
Structured capture of Architectural Decision Records (ADRs) and blockers
Standardized session logging with timestamps and topic-based filing
Automated memory synchronization with active-context and progress trackers

Use Cases

Ending a workday and preparing a status report to resume efficiently the next morning
Transferring complex, multi-step coding tasks between different AI agent instances
Transitioning to a new session when the Claude context window is reaching its limit