Ring:Creating Handoffs logo

Ring:Creating Handoffs

Organization
LerianStudio
ring:creating-handoffs

Creating a handoff document that captures session state (completed work, decisions, open items, next steps) and delivering it via Plan Mode so the user gets the native 'clear context and continue implementing' resume option. Use when ending a session, when context grows large, or the user says 'handoff', 'save session', or 'context transfer'. Skip when context is minimal or work is fully complete with no resume planned.

Overview

PublisherLerianStudio
Repositoryring
Skill namering:creating-handoffs
Stars
215
Forks
28
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by LerianStudio on GitHub. Read the source before you install it.

Installation

Install the Ring:Creating Handoffs AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/LerianStudio/ring.git /tmp/ring
mkdir -p .claude/skills
cp -r /tmp/ring/default/skills/creating-handoffs .claude/skills/lerianstudio-ring-creating-handoffs
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ring:Creating Handoffs in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ring:Creating Handoffs on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ring:Creating Handoffs is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Session Handoff Skill

When to use

  • User is ending a session and wants to preserve context for later
  • Context window is getting large and a fresh start would be beneficial
  • Handing off work to another person or AI session
  • User says "handoff", "save session", "wrap up", or "context transfer"

Skip when

  • Session has minimal context that does not warrant a handoff document
  • User simply wants to end the conversation without resuming later
  • Work is fully complete with nothing pending

Creates a handoff document capturing session context, delivered via Claude Code's Plan Mode so the user gets a native "clear context and continue implementing" option.

Execution Protocol (exact order, no skipping)

Step 1: Gather Context

Before entering plan mode, collect:

  • Completed work, decisions, and open items from conversation history
  • Use Glob and Read to verify file states and paths as needed
  • Use Bash with date for timestamps
  • Session name (from argument or infer from work done)

Step 2: Enter Plan Mode

Call EnterPlanMode tool.

Step 3: Write Handoff as the Plan

Write the full handoff document (template below) to the plan file path specified in the system message. The handoff IS the plan.

Step 4: Exit Plan Mode

Call ExitPlanMode tool — this presents the native resume options.

Step 5: Confirm to User

Handoff created and loaded as plan.

Choose "clear context and continue implementing" to resume in a fresh context.

Handoff Template

markdown
# Handoff: {Session Name}

**Created:** {timestamp}
**Session:** {session-name}
**Status:** {In Progress | Blocked | Ready for Review | Complete}

## Summary
{1-2 sentence overview}

## Current State
{Where things stand — specific about done vs pending}

## Completed Work
- {item with file references}

## In-Progress Work
- {partially done items — describe exactly where you stopped}

## Key Decisions
| Decision | Rationale | Alternatives Considered |
|----------|-----------|------------------------|

## What Worked
- {successful approaches worth reusing}

## What Didn't Work
- {failed approaches to avoid}

## Open Questions
- [ ] {unresolved questions or blockers}

## Next Steps
1. {First action when resuming — specific and actionable}

## Relevant Files
| File | Purpose | Status |
|------|---------|--------|

## Context for Resumption
{Gotchas, environment setup, branch state, test commands}

Key Rules

  • MUST gather all context BEFORE calling EnterPlanMode (plan mode restricts tool usage)
  • MUST fill every section of the template
  • MUST call ExitPlanMode after writing (otherwise user never sees native resume options)
  • MUST write to the path specified by plan mode system message

Frequently asked questions

What does the Ring:Creating Handoffs AI skill do?

Creating a handoff document that captures session state (completed work, decisions, open items, next steps) and delivering it via Plan Mode so the user gets the native 'clear context and continue implementing' resume option. Use when ending a session, when context grows large, or the user says 'handoff', 'save session', or 'context transfer'. Skip when context is minimal or work is fully complete with no resume planned.

Why use Ring:Creating Handoffs on TypingMind?

Because you install it once and use it with any model. Ring:Creating Handoffs is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ring:Creating Handoffs in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LerianStudio/ring/tree/main/default/skills/creating-handoffs. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ring:Creating Handoffs?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ring:Creating Handoffs?

As many as you like. As long as a model supports skills, you can use Ring:Creating Handoffs with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ring:Creating Handoffs AI skill free?

Yes. It is published on GitHub by LerianStudio under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇