How does it manage large amounts of project data?

The skill uses configurable token budgets (economy, light, standard, and detailed) to summarize session information based on your specific needs and context limits.

What is the primary purpose of the Session Handoff skill?

It captures the current state of your AI coding session and saves it to local text files, generating a prompt that allows a new session to resume work with full context.

Where is the session history stored?

All session data, decisions, and progress reports are stored locally in the .claude/memory/ directory of your project repository.

When should I trigger a session handoff?

You should use it when your context window is nearly full, before ending a workday, or whenever you need to move a complex task to a fresh AI session.

Does this skill help with project documentation?

Yes, by generating session logs and tracking decisions in the decisions/ folder, it automatically builds a historical record of your project's evolution.

Session Handoff Context Keeper

Name: Session Handoff Context Keeper
Author: swannysec

byswannysec

Productividad y Flujo de Trabajo

Facilitates seamless context transitions between AI coding sessions by generating structured handoff summaries and syncing project memory.

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The Session Handoff skill solves the challenge of context loss when moving between AI development sessions or reaching context window limits. By automatically syncing project state to local memory files—including progress, decisions, and active blockers—it ensures that no critical information is lost. The skill generates a copy-pasteable prompt tailored to specific token budgets, ranging from brief summaries to detailed technical overviews, allowing a fresh Claude session to pick up exactly where the previous one left off with full awareness of the project's current trajectory.

Características Principales

Integrated tracking of Architecture Decision Records (ADRs) and blockers
Comprehensive session logging with timestamps and topic tracking
Token-aware summary generation with four distinct detail levels
Automated memory syncing with .claude/memory/ file structure
Structured handoff prompt generation for instant session resumption
0 GitHub stars

Casos de Uso

Creating a permanent audit trail of project decisions and daily progress
Transferring project context between different developers or AI instances
Resuming complex coding tasks after hitting AI context window limits

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Características Principales

Integrated tracking of Architecture Decision Records (ADRs) and blockers
Comprehensive session logging with timestamps and topic tracking
Token-aware summary generation with four distinct detail levels
Automated memory syncing with .claude/memory/ file structure
Structured handoff prompt generation for instant session resumption
0 GitHub stars

Casos de Uso

Creating a permanent audit trail of project decisions and daily progress
Transferring project context between different developers or AI instances
Resuming complex coding tasks after hitting AI context window limits