Ralph Plan

🏢Official
by mastra-ai · vlatest · Repository

Ralph-Plan by mastra-ai generates detailed, actionable plans from ambiguous goals, breaking down tasks for efficient execution.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add ralph-plan npx -- -y @trustedskills/ralph-plan
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "ralph-plan": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/ralph-plan"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

The ralph-plan skill enables AI agents to create detailed, multi-step plans based on user requests. It can break down complex tasks into manageable actions, including specifying tools and resources needed for each step. The resulting plan is structured and designed for execution by an agent or human.

When to use it

  • Complex Task Breakdown: You need a large task broken down into smaller, actionable steps.
  • Agent Workflow Design: You want to define the precise actions an AI agent should take to achieve a goal.
  • Project Planning Assistance: Generate a plan for completing a project with specific deliverables and timelines.
  • Content Creation Outline: Develop a detailed outline for writing a long-form article or creating a presentation.

Key capabilities

  • Plan Generation: Creates structured plans from user prompts.
  • Action Specification: Defines individual actions within the plan.
  • Tool/Resource Identification: Identifies necessary tools and resources for each action.
  • Multi-Step Planning: Supports complex, multi-step processes.

Example prompts

  • "Create a plan to organize my home office."
  • "Generate a detailed plan for writing a blog post about AI agents."
  • “Outline the steps needed to launch a new product.”

Tips & gotchas

The quality of the generated plan depends heavily on the clarity and detail provided in the initial prompt. Be specific about desired outcomes and constraints for best results.

Tags

🛡️

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Details

Version
vlatest
License
Author
mastra-ai
Installs
0

🏢 Official

Published by the company or team that built the technology.