Does the handoff file include my source code or secrets?

No, the skill follows strict guardrails to exclude secrets and prefers using file paths and links over pasting large blocks of source code.

What is the primary purpose of the Handoff Writer skill?

It creates a high-signal state snapshot in a HANDOFF.md file to help restore context for the AI agent after a session reset or a long break.

Where does the skill save the handoff information?

The skill updates a specific file located at .agent-docs/memory/HANDOFF.md within your repository.

When should I use the handoff_writer?

You should use it at major milestones, after significant verification steps, or right before you expect a session to end or reset.

How does this help with AI token limits?

By creating a concise summary of the current state, it prevents the need to re-read the entire chat history or all project files to understand the current task.

Session Handoff Manager

Name: Session Handoff Manager
Author: CheekyCodexConjurer

byCheekyCodexConjurer

Productivity & Workflow

Generates concise project snapshots to preserve state and restore context across AI session resets.

About

The Handoff Writer skill is an essential utility for maintaining continuity during long development cycles or when dealing with AI session limits. It creates a high-signal snapshot in a dedicated HANDOFF.md file, capturing the current task status, next actions, and the results of recent verification steps. By linking to existing documentation like PLANS.md and ADRs rather than duplicating content, it ensures that the AI can quickly regain full context after a reset without wasting tokens, making it perfect for complex, multi-stage engineering tasks.

Key Features

Compact state snapshot generation
0 GitHub stars
Context restoration for session resets
Verification command and outcome logging
Automated linking to PLANS.md and ADRs
Milestone-based status tracking

Use Cases

Resuming development seamlessly after a chat session timeout or reset
Providing a clear starting point for different AI agents working on the same repo
Documenting the precise state of a task before a major architectural pivot

About

Key Features

Compact state snapshot generation
0 GitHub stars
Context restoration for session resets
Verification command and outcome logging
Automated linking to PLANS.md and ADRs
Milestone-based status tracking

Use Cases

Resuming development seamlessly after a chat session timeout or reset
Providing a clear starting point for different AI agents working on the same repo
Documenting the precise state of a task before a major architectural pivot