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rongarederongarede/claude-skills-orchestration/skills/collaborating-with-gemini/SKILL.md

collaborating-with-gemini

Skill1 starsChanged 8 months agoMITView on GitHub

[由 collaborating-hub 路由] Gemini CLI 后端实现。直接使用请通过 /collab 或 /gemini 触发 collaborating-hub。

  • Installs packages
  • Sends data out

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SKILL.md

Quick Start

~/.claude/skills/collaborating-with-gemini/scripts/gemini-agent.sh "你的任务" --cd "/path/to/project"

输出: JSON 格式,包含 success, session_id, response, 可选 error。

Parameters

用法: gemini-agent.sh "任务描述" --cd /path/to/project [选项]

必需参数:
  --cd PATH          项目工作目录

可选参数:
  --agent, -a NAME   注入 agent 提示词 (如 security-reviewer, planner)
  --session, -s ID   续接会话 (使用之前返回的 session_id)
  --context, -c FILE 自定义上下文文件
  --model, -m MODEL  指定模型 (默认使用 gemini 配置)
  --timeout, -t SECS 超时时间 (默认 600 秒 / 10 分钟)
  --yolo             自动批准所有操作
  --auto-edit        仅自动批准编辑操作
  --output-format    输出格式 (json|text|stream-json)
  --save             保存会话到文件 (默认开启)
  --no-save          不保存会话
  --on-complete CMD  完成后执行的回调命令
  --no-notify        禁用完成通知

Multi-turn Sessions

始终捕获 session_id 用于后续对话:

# 初始任务
~/.claude/skills/collaborating-with-gemini/scripts/gemini-agent.sh "分析 login.py 的认证逻辑" --cd "/project"

# 使用 session_id 继续
~/.claude/skills/collaborating-with-gemini/scripts/gemini-agent.sh "为刚才分析的代码写单元测试" --cd "/project" --session "gemini_20260128_123456_12345"

Common Patterns

代码审查 (只读模式):

gemini-agent.sh "审查这段代码的安全性" --cd "/project" --agent security-reviewer

规划任务:

gemini-agent.sh "规划实现用户认证功能" --cd "/project" --agent planner

自动执行 (YOLO 模式):

gemini-agent.sh "重构这个函数" --cd "/project" --yolo

带超时控制:

gemini-agent.sh "复杂分析任务" --cd "/project" --timeout 900  # 15 分钟

带完成回调:

gemini-agent.sh "分析任务" --cd "/project" --on-complete "echo 'Done: \$GEMINI_SESSION_ID'"

禁用通知:

gemini-agent.sh "静默任务" --cd "/project" --no-notify

Hook 回调机制

任务完成后自动执行 --on-complete 指定的命令,可用环境变量:

变量说明
GEMINI_SESSION_ID会话 ID
GEMINI_SUCCESS是否成功 (true/false)
GEMINI_TASK原始任务描述
GEMINI_AGENT使用的 agent
GEMINI_RESPONSE_FILE响应文件路径
GEMINI_PROJECT_DIR项目目录

示例:完成后发送到 Slack

gemini-agent.sh "分析代码" --cd "/project" \
  --on-complete 'curl -X POST -d "{\"text\":\"Gemini 完成: $GEMINI_TASK\"}" $SLACK_WEBHOOK'

完成通知

默认启用 macOS 系统通知(需要 terminal-notifier 或 osascript):

  • 成功:显示任务摘要
  • 失败:显示错误信息

安装 terminal-notifier(推荐):

brew install terminal-notifier

Session Management

会话自动保存到 ~/.claude/skills/collaborating-with-gemini/sessions/

使用会话管理工具:

# 列出所有会话
~/.claude/skills/collaborating-with-gemini/scripts/gemini-sessions.sh list

# 查看会话详情
~/.claude/skills/collaborating-with-gemini/scripts/gemini-sessions.sh show <session_id>

# 清理 7 天前的会话
~/.claude/skills/collaborating-with-gemini/scripts/gemini-sessions.sh clean 7

会话文件内容:

  • session_id: 会话唯一标识
  • timestamp: 执行时间
  • project_dir: 项目目录
  • agent: 使用的 agent
  • task: 原始任务
  • full_prompt: 完整提示词(含上下文和 agent)
  • response: Gemini 响应
  • success: 是否成功
  • error: 错误信息(如有)

Context Injection

自动加载上下文优先级:

  1. --context FILE 指定的文件
  2. $PROJECT_DIR/CLAUDE.md
  3. $PROJECT_DIR/AGENTS.md
  4. $PROJECT_DIR/GEMINI.md

Agent Injection

可用的 agents(位于 ~/.claude/agents/):

  • planner - 实现规划
  • architect - 系统设计
  • security-reviewer - 安全审查
  • code-reviewer - 代码审查
  • tdd-guide - 测试驱动开发
  • 更多...

Environment Variables

  • GEMINI_TIMEOUT: 默认超时时间(秒),覆盖 --timeout 参数

Output Format

成功响应:

{
  "success": true,
  "session_id": "gemini_20260128_123456_12345",
  "agent": "security-reviewer",
  "context_source": "CLAUDE.md",
  "response": "Gemini 的响应内容..."
}

失败响应:

{
  "success": false,
  "session_id": "gemini_20260128_123456_12345",
  "error": "错误信息",
  "exit_code": 1
}

Troubleshooting

Gemini 执行超时:

  • 增加 --timeout 值
  • 检查网络连接
  • 确认 Gemini CLI 认证有效: gemini --version

无响应输出:

  • 确保 Gemini CLI 已正确安装和认证
  • 尝试在终端直接运行 gemini "test" 测试

TTY 相关问题:

  • 脚本使用 expect 处理 TTY 问题
  • 确保 /usr/bin/expect 可用

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