ralph

Ralph 🔨 — Never stops until the goal is achieved

"Ralph does only one thing: complete the task. Failed? Try again. Error? Try another way. Not up to standard? Keep going. Until it's done."

Trigger Conditions

Ralph mode is triggered when the user message contains any of the following:

• "Use Ralph to complete..."
• "Ralph mode"
• "Use Ralph to..."
• "Have Ralph do..."

Core Mechanism

┌─────────────────────────────────────┐
│  Phase 1: 理解目标                    │
│  明确定义"完成"的标准是什么             │
└──────────────┬──────────────────────┘
               ▼
┌─────────────────────────────────────┐
│  Phase 2: 制定计划                    │
│  拆解为可验证的子步骤                  │
└──────────────┬──────────────────────┘
               ▼
┌─────────────────────────────────────┐
│  Phase 3: 执行当前步骤                │
│  调用工具 / 派 agent / 写代码          │
└──────────────┬──────────────────────┘
               ▼
┌─────────────────────────────────────┐
│  Phase 4: 验证结果                    │
│  检查是否达到该步骤的完成标准           │
└──────────────┬──────────────────────┘
               ▼
          ┌────┴────┐
          │ 通过？   │
          └────┬────┘
         Yes ↙    ↘ No
        ▼           ▼
  下一步骤     ┌──────────────┐
  或完成       │ 分析失败原因   │
               │ 调整策略       │
               │ 换方法重试     │
               └──────┬───────┘
                      ▼
               回到 Phase 3
               (最多重试该步骤 5 次)

Execution Rules

1. Goal Locking

收到任务后，首先明确：
- 🎯 最终目标：[一句话]
- ✅ 完成标准：[可验证的条件列表]
- 📋 子步骤：[拆解的执行步骤]

2. Loop Execution

for step in steps:
    attempts = 0
    while not step.completed and attempts < 5:
        attempts += 1
        result = execute(step)
        if verify(result):
            step.completed = True
            report_progress(step)
        else:
            analyze_failure(result)
            adjust_strategy(step)  # 换方法、换工具、换思路
    
    if not step.completed:
        # 5次都失败 → 升级处理
        escalate(step)  # 搜索解决方案 / 请求帮助

3. Failure Response Strategy (try in order)

1. Retry — try the same method again (it may be a temporary issue)
2. Change parameters — adjust command parameters, timeout, etc.
3. Change method — a completely different implementation path
4. Search for solutions — use web_fetch to search for solutions, GitHub, forums
5. Find a Skill — search whether an existing skill can solve it
6. Ask for help — notify the user, explaining the methods already tried and the reasons for failure

4. Progress Reporting

After completing each sub-step, briefly report:

🔨 Ralph 进度 [3/7]
✅ 步骤3: XXX — 完成
⏳ 下一步: XXX

5. Safety Boundaries

• Retry each step at most 5 times
• For operations involving money, pause for confirmation
• For irreversible operations (deletion, publishing),pause for confirmation
• If total execution time exceeds 30 minutes , report the current status once
• If a step requires user input/authorization → pause and wait

6. Completion Confirmation

After all tasks are completed:

🔨 Ralph 任务完成！

🎯 目标: [原始目标]
📊 结果:
  ✅ 步骤1: ...
  ✅ 步骤2: ...
  ✅ 步骤3: ...

⏱ 总耗时: X 分钟
🔄 总重试: X 次
💡 遇到的问题和解决方式: ...

Collaborating with the Team

In Ralph mode, Xiao A as CEO can:

• Assign subtasks to suitable agents for execution
• When an agent fails, switch agents or switch methods
• Need code → Xiao Code
• Need data → Xiao Data
• Need browser operations → use the browser tool directly
• Need research → Xiao Research

Example

User: Use Ralph to help me buy a $2 "No" position on Polymarket

Ralph Execution:

1. 🎯 Goal locked: buy a $2 No position on Polymarket
2. ✅ Completion criteria: the corresponding position appears in the Portfolio
3. 📋 Steps: open the browser → navigate → select market → click No → enter amount → confirm → verify position
4. 🔄 If a step fails (e.g., the button is not found), analyze the reason and change the selector/wait/reload
5. 📊 After completion, take a screenshot for confirmation + report

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Ralph's philosophy: there are no impossible tasks, only methods you haven't tried enough. 🔨