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Handoff Protocols

CommunityPopular
rohitg00
handoff-protocols

Manages work transitions between team members or agents by creating structured handoff documents, summarizing project status, documenting key decisions, blockers, and open questions, and generating onboarding briefs. Use when someone needs to hand off, hand over, or transition a project; pass work to another person or agent; brief a colleague taking over; prepare a shift change summary; or onboard someone mid-task. Produces ready-to-use handoff documents covering current status, next steps, known issues, technical context, and communication templates for both planned and unplanned transfers.

Overview

Publisherrohitg00
Repositoryskillkit
Skill namehandoff-protocols
Stars
1.5K
Forks
147
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 rohitg00 on GitHub. Read the source before you install it.

Installation

Install the Handoff Protocols 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/rohitg00/skillkit.git /tmp/skillkit
mkdir -p .claude/skills
cp -r /tmp/skillkit/packages/core/src/methodology/packs/collaboration/handoff-protocols .claude/skills/handoff-protocols
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Handoff Protocols 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 Handoff Protocols 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 Handoff Protocols 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.

Handoff Protocols

You are executing a work handoff between team members or agents.

Handoff Types

TypeWhenKey Characteristics
PlannedEnd of shift, vacation, role changeTime to prepare docs; opportunity for sync meeting; gradual transition possible
UnplannedIllness, emergency, priority changeLimited prep time; rely on existing docs; may need to reconstruct context
PartialTransfer one piece while retaining other workRequires clear boundary definition; shared ownership and integration points

Handoff Document

Essential Sections

markdown
# Handoff: [Task/Project Name]

## Quick Summary
[One paragraph: What is this and current state]

## Current Status
- [ ] Phase: [Design/Implementation/Testing/etc]
- [ ] Progress: [X% complete / Y of Z tasks done]
- [ ] Blockers: [Current blockers, if any]
- [ ] Next Action: [Very next thing to do]

## Context

### What We're Building
[Brief description of the goal/feature]

### Why
[Business/technical justification]

### Key Decisions Made
| Decision | Options Considered | Choice | Rationale |
|----------|-------------------|--------|-----------|
| [D1] | A, B, C | B | [Why B was chosen] |

### Open Questions
- [Question 1]
- [Question 2]

## Technical Details

### Architecture/Design
[Relevant diagrams or links]

### Key Files
- `path/to/file1.ts` - [Purpose]
- `path/to/file2.ts` - [Purpose]

### Dependencies
- [Dependency 1]: [How it's used]
- [Dependency 2]: [How it's used]

## Current State of Code

### What's Complete
- [x] [Completed item 1]
- [x] [Completed item 2]

### In Progress
- [ ] [In progress item] - [Current state]

### Not Started
- [ ] [Pending item 1]
- [ ] [Pending item 2]

## Known Issues

### Active Issues
- [Issue 1]: [Description and current understanding]

### Workarounds in Place
- [Workaround 1]: [Why it exists, how to remove it]

## How to Continue

### Immediate Next Steps
1. [Step 1]
2. [Step 2]
3. [Step 3]

### Things to Watch Out For
- [Gotcha 1]
- [Gotcha 2]

### Who to Contact
- [Name/Team] for [Topic]
- [Name/Team] for [Topic]

## Resources
- [Link to design doc]
- [Link to requirements]
- [Link to related PRs]

Handoff Meeting Checklist

If doing a live handoff:

Before Meeting:

  • Prepare handoff document
  • Ensure code is in clean state
  • List questions you anticipate

During Meeting:

  1. Walk through handoff document
  2. Show current state of code
  3. Demo any working functionality
  4. Explain key decisions and trade-offs
  5. Highlight risks and unknowns
  6. Answer questions
  7. Verify recipient understands

After Meeting:

  • Share access to all resources
  • Offer availability for follow-up questions
  • Confirm handoff complete

Code State Preparation

Before handing off, ensure:

bash
# Clean working directory
git status  # Should be clean

# Latest changes committed
git log -1  # Recent meaningful commit

# Branch is up to date
git pull origin main

# Tests pass
npm test    # All green

# Build works
npm run build  # No errors

Leave the code in a state where:

  • It compiles/runs
  • Tests pass
  • No work-in-progress changes uncommitted
  • Clear commit messages explain recent changes

Communication Templates

Async Handoff Message

Hi [Name],

I'm handing off [Task/Project] to you. Here's what you need to know:

**Status:** [Current state in one sentence]

**What I've Done:**
- [Accomplishment 1]
- [Accomplishment 2]

**Next Steps:**
1. [Immediate next action]
2. [Following action]

**Watch Out For:**
- [Important gotcha]

**Resources:**
- Handoff doc: [link]
- Code: [branch name]
- Related PR: [link]

Let me know if you have questions!

Requesting Additional Context

Hi [Name],

I'm picking up [Task] from your handoff. A few clarifications:

1. [Specific question 1]
2. [Specific question 2]

Also, I noticed [observation]. Was that intentional?

Thanks!

Handoff Anti-Patterns

Avoid: brain dumps of unstructured info, disappearing after handoff, omitting critical context, and handing off code in a broken state.

Receiving a Handoff

When you receive work:

  1. Read documentation before asking questions
  2. Acknowledge receipt to confirm handoff
  3. Identify gaps in your understanding
  4. Ask focused questions about specific unclear points
  5. Verify you can build/run the current state
  6. Document any additional context you discover

Handoff Quality Checklist

For the giver:

  • Documentation is complete and current
  • Code is in clean, working state
  • All access/permissions transferred
  • Key contacts introduced
  • Questions answered or noted
  • Availability for follow-up communicated

For the receiver:

  • Documentation reviewed
  • Can build and run the code
  • Understand current state
  • Know next steps
  • Know who to contact
  • No blocking questions

Integration with Other Skills

  • structured-review: Get review before handoff if work is complete
  • parallel-investigation: Handoff individual threads
  • planning/task-decomposition: Reference task breakdown in handoff

Frequently asked questions

What does the Handoff Protocols AI skill do?

Manages work transitions between team members or agents by creating structured handoff documents, summarizing project status, documenting key decisions, blockers, and open questions, and generating onboarding briefs. Use when someone needs to hand off, hand over, or transition a project; pass work to another person or agent; brief a colleague taking over; prepare a shift change summary; or onboard someone mid-task. Produces ready-to-use handoff documents covering current status, next steps, known issues, technical context, and communication templates for both planned and unplanned transfers.

Why use Handoff Protocols on TypingMind?

Because you install it once and use it with any model. Handoff Protocols 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 Handoff Protocols in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rohitg00/skillkit/tree/main/packages/core/src/methodology/packs/collaboration/handoff-protocols. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Handoff Protocols?

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 Handoff Protocols?

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

Is the Handoff Protocols AI skill free?

Yes. It is published on GitHub by rohitg00 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.

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