Verified:GitHub

session-handoff

Generate handoff documents with validation, secret checks, and staleness scoring.

Updated Aug 27, 2026

Search Tags:#validation #handoff #workflow continuity #context preservation #agent memory #secure documentation #git staleness

Ready to run

npx skills add https://github.com/ceshez/VELAR --skill session-handoff-ceshez

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: session-handoff
Source: https://github.com/ceshez/VELAR/tree/main/.agents/skills/session-handoff
Command: npx skills add https://github.com/ceshez/VELAR --skill session-handoff-ceshez

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires git, python, re, subprocess, and includes scripts (resource) and references (resource) components.

What problem does it solve?

The Session Handoff skill prevents long-running agent work from becoming ambiguous or stalled when a new agent session starts and prior context has been lost.

Core Features & Use Cases

Creates zero-ambiguity handoffs: Generates a complete handoff document capturing current state, decisions, progress, and immediate next actions.
Enables safe resumption: Loads an existing handoff and verifies freshness using staleness checks, then guides the next agent from “Immediate Next Steps”.
Maintains decision lineage: Supports chaining handoffs so each continuation links back to the previous one for continuity.

Quick Start

Tell your AI agent: create a handoff for my current progress so I can resume later with zero ambiguity.

Frequently Asked Questions about session-handoff

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I preserve agent memory and context across multiple coding sessions?▼

You preserve agent context by generating a comprehensive handoff document that captures current state, decisions, and progress. This context preservation mechanism scaffolds required sections to ensure the next agent resumes with zero ambiguity.

What is the best way to resume an engineering workflow after context gets full?▼

The best way to resume an engineering workflow is loading an existing handoff document. The system verifies freshness using git staleness checks and modified-file analysis, then guides the next agent directly from the saved immediate next steps.

How do I create a handoff document that prevents ambiguity when switching agents?▼

You create a zero-ambiguity handoff by instructing your agent to generate a document capturing current state, decisions, progress, and immediate next actions. The skill automatically runs validation and secret checks during document creation.

Does the handoff process check for git staleness or modified files?▼

Yes, the handoff process checks git staleness by analyzing modified files and repository status. This staleness scoring validates document freshness before resuming, ensuring the loaded context accurately reflects the current codebase state.

Do I need Python and git to maintain workflow continuity with chained handoffs?▼

Yes, you need Python and git installed to maintain workflow continuity. Python handles document generation and validation, while git enables staleness scoring and modified-file analysis required for secure documentation and chaining continuations.

Can I chain multiple handoff documents together for long-running research workflows?▼

Yes, you can chain multiple handoff documents together for long-running research workflows. Each continuation links back to the previous handoff document, maintaining decision lineage and ensuring continuity across extended multi-session engineering tasks.