Gemini Delegation

Community

athola

gemini-delegation

Delegates tasks to Gemini CLI implementing delegation-core for Google's models. Use when delegation-core selects Gemini or 1M+ token context is needed.

Overview

Publisher	athola
Repository	`claude-night-market`
Skill name	`gemini-delegation`
Stars	343
Forks	37
Bundled files	1
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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by athola on GitHub. Read the source before you install it.

Installation

Install the Gemini Delegation 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/athola/claude-night-market/tree/master/plugins/conjure/skills/gemini-delegation
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/athola/claude-night-market/tree/master/plugins/conjure/skills/gemini-delegation

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/athola/claude-night-market.git /tmp/claude-night-market
mkdir -p .claude/skills
cp -r /tmp/claude-night-market/plugins/conjure/skills/gemini-delegation .claude/skills/gemini-delegation

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

Use it in TypingMind

Enable Gemini Delegation 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 Gemini Delegation 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 Gemini Delegation 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.

Gemini CLI Delegation

Overview

This skill implements conjure:delegation-core for the Gemini CLI. It provides Gemini-specific authentication, quota management, and command construction.

For shared delegation patterns, see Skill(conjure:delegation-core).

When To Use

After Skill(conjure:delegation-core) determines Gemini is suitable
When you need Gemini's large context window (1M+ tokens)
For batch processing, summarization, or pattern extraction tasks
If the gemini CLI is installed and authenticated

When NOT To Use

Choosing which provider to delegate to (use conjure:delegation-core)
Qwen was the selected provider (use conjure:qwen-delegation)

Prerequisites

Installation:

bash
# Verify installation
gemini --version

# Check authentication
gemini auth status

# Login if needed
gemini auth login

# Or set API key
export GEMINI_API_KEY="your-key"

Verification: Run the command with --help flag to verify availability.

Quick Start

Basic Command

bash
# File analysis
gemini -p "@path/to/file Analyze this code"

# Multiple files
gemini -p "@src/**/*.py Summarize these files"

# With specific model
gemini --model gemini-3-pro -p "..."

# JSON output
gemini --output-format json -p "..."

Save Output

bash
gemini -p "..." > delegations/gemini/$(date +%Y%m%d_%H%M%S).md

Gemini-Specific Details

For Gemini-specific models, CLI options, cost reference, and troubleshooting, see modules/gemini-specifics.md.

Exit Criteria

gemini --version exits 0 before any task is delegated, and a missing installation is reported and stops execution.
Authentication is judged from GEMINI_API_KEY and from the delegation's own exit code, never from gemini auth status. That command exits 0 while printing Error authenticating: ProjectIdRequiredError over a credential that cannot be used, so its status is not evidence. delegation-core's shared module states the rule: authentication is never decided by running a provider's own CLI.
The delegated task output is saved to delegations/gemini/YYYYMMDD_HHMMSS.md (timestamp format matching the Quick Start example), and that file exists on disk after the delegation completes.
If conjure:delegation-core selected a different provider (Qwen or local), this skill is not invoked; Gemini delegation only runs when delegation-core explicitly routes to Gemini.
Tasks requiring > 1M tokens in context are flagged before submission; the skill reports the estimated token count and confirms it falls within Gemini's supported window.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

modules/gemini-specifics.md1 KB

Frequently asked questions

What does the Gemini Delegation AI skill do?

Delegates tasks to Gemini CLI implementing delegation-core for Google's models. Use when delegation-core selects Gemini or 1M+ token context is needed.

Why use Gemini Delegation on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/athola/claude-night-market/tree/master/plugins/conjure/skills/gemini-delegation. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Gemini Delegation?

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 Gemini Delegation?

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

Is the Gemini Delegation AI skill free?

Yes. It is published on GitHub by athola 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

Gemini CLI Delegation

Overview

When To Use

When NOT To Use

Prerequisites

Quick Start

Basic Command

Save Output

Gemini-Specific Details

Exit Criteria

Bundled files

Frequently asked questions

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