Handoff Gemini

Organization

claude-world

handoff-gemini

Delegate long-context analysis, research, and large-document summarization to Google Gemini CLI (1M-token context) via non-interactive `gemini -p`, preserving Claude context. Use when the user says 'use gemini'/'hand off to gemini' or a task needs 100K+ tokens of context.

Overview

Publisher	claude-world
Repository	`director-mode-lite`
Skill name	`handoff-gemini`
Stars	80
Forks	10
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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 claude-world on GitHub. Read the source before you install it.

Installation

Install the Handoff Gemini AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/claude-world/director-mode-lite/tree/main/skills/handoff-gemini
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.

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/claude-world/director-mode-lite.git /tmp/director-mode-lite
mkdir -p .claude/skills
cp -r /tmp/director-mode-lite/skills/handoff-gemini .claude/skills/handoff-gemini

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Handoff Gemini 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 Gemini 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 Gemini 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 to Gemini CLI

Delegate tasks to Google Gemini CLI to save Claude context.

When to Use Gemini

Use Gemini For	Keep in Claude
Long document analysis	Complex coding
Multimodal tasks	Architecture decisions
Research and summarization	Multi-step workflows
Large file comprehension	Problem analysis

Prerequisites

bash
# Install Gemini CLI (Google)
npm install -g @google/gemini-cli
# Or via: https://github.com/google-gemini/gemini-cli

Handoff Process

1. Prepare Context

markdown
## Task for Gemini
**Goal**: [What needs to be done]
**Files**: [Which files to analyze]
**Output**: [What format to return]

2. Generate Command

Pass the prompt with -p (non-interactive). Reference files or directories inline with @<path>, or pipe content via stdin. There is no -f flag.

bash
# Analyze a directory (@ reads it recursively)
gemini -p "Summarize the components in @src/"

# Research task (no file context)
gemini -p "Research best practices for [topic]"

# Document analysis (single file via @)
gemini -p "Extract key points from @docs/spec.md"

# Large or generated context via stdin
cat docs/spec.md | gemini -p "Extract key points"

Note: A src/**/*.ts-style glob only expands if the shell has globstar enabled (shopt -s globstar in bash). Prefer a directory reference like @src/, which Gemini reads recursively without relying on shell globbing.

3. Provide Instructions

Why Gemini is suitable
Expected output
How to continue workflow

Example

markdown
## Task: Research API Best Practices

**Command:**
gemini -p "Research REST API versioning strategies. Summarize pros/cons."

**After:**
- Review research
- Share relevant findings
- Implement chosen strategy

Benefits

Token Savings: Research tasks don't consume Claude context
Long Context: Handles very large documents
Specialization: Use each AI's strengths

Frequently asked questions

What does the Handoff Gemini AI skill do?

Why use Handoff Gemini on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/claude-world/director-mode-lite/tree/main/skills/handoff-gemini. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Handoff Gemini?

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 Gemini?

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

Is the Handoff Gemini AI skill free?

Yes. It is published on GitHub by claude-world under the MIT 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Handoff to Gemini CLI

When to Use Gemini

Prerequisites

Handoff Process

1. Prepare Context

2. Generate Command

3. Provide Instructions

Example

Benefits

Frequently asked questions

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