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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.

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集成工具Gemini
查看安装方法

包含的文件(1)

  • SKILL.md2.3 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Handoff to Gemini CLI

Delegate tasks to Google Gemini CLI to save Claude context.


When to Use Gemini

Use Gemini ForKeep in Claude
Long document analysisComplex coding
Multimodal tasksArchitecture decisions
Research and summarizationMulti-step workflows
Large file comprehensionProblem analysis

Prerequisites

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

Handoff Process

1. Prepare Context

## 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.

# 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

## 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

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