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gemini-delegation

delegation-implementation
npx machina-cli add skill athola/claude-night-market/gemini-delegation --openclaw
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SKILL.md
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Table of Contents

Gemini CLI Delegation

Overview

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

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

  • Deciding which model to use (use delegation-core first)
  • Gemini CLI not installed
  • Deciding which model to use (use delegation-core first)
  • Gemini CLI not installed

Prerequisites

Installation:

# 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.

Delegation Flow

Implements standard delegation-core flow with Gemini specifics:

  1. gemini-delegation:auth-verified - Verify Gemini authentication
  2. gemini-delegation:quota-checked - Check Gemini API quota
  3. gemini-delegation:command-executed - Execute via Gemini CLI
  4. gemini-delegation:usage-logged - Log Gemini API usage

Quick Start

Basic Command

# 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-2.5-pro-exp -p "..."

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

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

Save Output

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

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

Shared Patterns

This skill uses shared modules from delegation-core:

  • Authentication: See delegation-core/../../leyline/skills/authentication-patterns/SKILL.md
  • Quota Management: See delegation-core/../../leyline/skills/quota-management/SKILL.md
  • Usage Logging: See delegation-core/../../leyline/skills/usage-logging/SKILL.md
  • Error Handling: See delegation-core/../../leyline/skills/error-patterns/SKILL.md

Gemini-Specific Details

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

Exit Criteria

  • Authentication confirmed working
  • Quota checked and sufficient
  • Command executed successfully
  • Usage logged for tracking

Source

git clone https://github.com/athola/claude-night-market/blob/master/plugins/conjure/skills/gemini-delegation/SKILL.mdView on GitHub

Overview

This skill implements conjure:delegation-core for the Gemini CLI, providing Gemini-specific authentication, quota management, and command construction to enable batch processing and leverage Gemini's 1M+ token context window. It integrates shared delegation-core patterns with Gemini-specific details to streamline delegation flows.

How This Skill Works

Follows the standard delegation-core flow, augmented with Gemini specifics: authenticate the Gemini CLI, verify API quota, execute commands via the Gemini CLI, and log usage. It references shared modules for authentication, quota management, and usage logging, plus Gemini-specific details to handle CLI options and cost considerations.

When to Use It

  • After conjure:delegation-core determines Gemini is suitable
  • When you need Gemini's 1M+ token context window for long analyses
  • For batch processing, summarization, or pattern extraction tasks
  • If the Gemini CLI is installed and authenticated
  • When you want integrated Gemini authentication and quota checks as part of delegation

Quick Start

  1. Step 1: Verify Gemini CLI is installed and authenticated (gemini --version; gemini auth status; gemini auth login or set GEMINI_API_KEY)
  2. Step 2: Run a sample delegation command (e.g., gemini -p "@path/to/file Analyze this code" )
  3. Step 3: Optional: output as JSON or save results (gemini --output-format json -p '...' or gemini -p '...' > delegations/...md)

Best Practices

  • Verify Gemini CLI installation and authentication before delegating
  • Rely on delegation-core first to decide Gemini suitability
  • Monitor and log usage with the shared usage-logging patterns
  • Before execution, ensure authentication and quota checks pass
  • Consult Gemini-specific modules for CLI options and troubleshooting

Example Use Cases

  • Analyze a large codebase with gemini -p '@path/to/file Analyze this code'
  • Summarize multiple Python files: gemini -p '@src/**/*.py Summarize these files'
  • Obtain JSON output: gemini --output-format json -p '...'
  • Save delegated results: gemini -p '...' > delegations/gemini/$(date +%Y%m%d_%H%M%S).md
  • Check auth and quota before running a delegation: gemini auth status; gemini quota status

Frequently Asked Questions

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