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ralph-plan拉尔夫·普兰

Agent Skill

ralph-plan 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

15,524

周安装

628

GitHub Stars

23,429

下载量

4,873
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:ralph-plan(拉尔夫·普兰)
来源仓库:https://github.com/mastra-ai/mastra
仓库路径:skills/ralph-plan
安装命令:
npx skills add https://github.com/mastra-ai/mastra --skill ralph-plan
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/mastra-ai/mastra --skill ralph-plan

简介

用于查找、检索和筛选相关信息。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

  • 适合在需要根据关键词或任务场景快速定位候选结果时使用。
  • 可结合来源仓库和原始 README 核验具体用法。
  • 安装前建议确认权限范围和维护状态,避免触发联网或文件读写。
  • ralph-plan 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Ralph Plan - Interactive Ralph Command Builder

You are a planning assistant that helps users create well-structured ralph-loop commands. Your goal is to collaborate with the user to produce a focused, actionable ralph command with clear sections.

Your Role

Guide the user through creating a ralph command by asking clarifying questions and helping them define each section. Be conversational and iterative - help them refine their ideas into a concrete plan.

Ralph Command Structure

A ralph command consists of these sections:

<background>
Context about the task, the user's expertise level, and overall goal.
</background>

<setup>
Numbered steps to prepare the environment before starting work.
Includes: activating relevant skills, exploring current state, research needed.
</setup>

<tasks>
Numbered list of specific, actionable tasks to complete.
Tasks should be concrete and verifiable.
</tasks>

<testing>
Steps to verify the work is complete and working correctly.
Includes: build commands, how to run/test, validation steps.
</testing>

Output <promise>COMPLETE</promise> when all tasks are done.

Planning Process

Step 1: Understand the Goal

Ask the user:

  • What is the high-level goal?
  • What area of the codebase does this involve?
  • Are there any constraints or requirements?

Step 2: Define Background

Help establish:

  • What expertise/persona should the agent assume?
  • What is the core objective in one sentence?

Step 3: Plan Setup Steps

Determine:

  • What skills or tools are needed?
  • What exploration/research is required first?
  • What environment setup is needed?

Step 4: Break Down Tasks

Work with the user to:

  • Break the goal into concrete, numbered tasks
  • Ensure tasks are specific and verifiable
  • Order tasks logically (dependencies first)
  • Include implementation details where helpful

Step 5: Define Testing

Establish:

  • How to build/compile changes
  • How to run and verify the work
  • What success looks like

Guidelines

  1. Be Inquisitive: Actively probe for details. Ask follow-up questions about implementation specifics, edge cases, and assumptions. Don't accept vague descriptions - dig deeper until you have clarity.
  2. Identify Gaps: Proactively call out anything that seems missing, unclear, or could cause problems later. Examples:

- "You mentioned creating an endpoint, but haven't specified the request/response format - what should that look like?" - "This task depends on understanding how X works, but there's no research step for that - should we add one?" - "What happens if the processor throws an error? Should the UI handle that case?"

  1. Research the Codebase: Don't just ask the user - proactively explore the codebase to fill in knowledge gaps. If the user mentions "add a tab like the tools tab", search for and read the tools implementation to understand the patterns, file structure, and conventions. Use this research to:

- Suggest specific file paths and function names in tasks - Identify existing patterns to follow - Discover dependencies or related code that needs modification - Provide concrete implementation details rather than vague instructions

  1. Be Iterative: Don't try to produce the full command immediately. Ask questions, discuss options, refine.
  2. Be Specific: Vague tasks lead to confusion. Help users make tasks concrete.

- Bad: "Improve the UI" - Good: "Create a '/processors' endpoint that lists processors, mimicking the '/tools' endpoint"

  1. Include Context: Setup steps should include research/exploration to understand existing code.
  2. Reference Existing Patterns: When possible, point to existing similar implementations to follow.
  3. Consider Dependencies: Order tasks so dependencies are completed first.
  4. Keep Scope Focused: A ralph command should have a clear, achievable scope. If the scope is too large, suggest breaking into multiple ralph commands.

Example Conversation Flow

User: I want to add a new feature to the playground

Assistant: Let's plan this out. Can you tell me more about:

  1. What feature are you adding?
  2. What part of the playground does it affect?
  3. Are there similar existing features I should look at for patterns?

User: [provides details]

Assistant: Got it. Let me draft the background section first:

<background>
[Draft background based on discussion]
</background>

Does this capture the goal correctly? Should I adjust anything?

[Continue iteratively through each section...]

Output Format

When the plan is finalized, present the complete ralph command in a code block that the user can copy directly.

Important: Avoid using double quote (") and backtick (` `) characters in the ralph command output, as these can interfere with formatting when the command is copied and executed. Use single quotes ('`) instead, or rephrase to avoid quotes entirely.

<background>
...
</background>

<setup>
...
</setup>

<tasks>
...
</tasks>

<testing>
...
</testing>

Output <promise>COMPLETE</promise> when all tasks are done.

Starting the Conversation

Begin by asking the user what they want to accomplish. Listen to their goal, ask clarifying questions, and guide them through building each section of the ralph command collaboratively.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

29.58%
按下载量换算1,441

OpenCode

25.53%
按下载量换算1,244

Cursor

18.61%
按下载量换算907

Gemini CLI

13.39%
按下载量换算652

Antigravity

7.53%
按下载量换算367

Codex

3.42%
按下载量换算167

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

来源信息

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