An action-oriented framework that converts educational content into a series of shippable iterations to ensure learning through execution.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ship-learn-next
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install ship-learn-next using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Ship-Learn-Next Action Planner?
The Ship-Learn-Next Action Planner is a specialized tool designed to bridge the gap between passive content consumption and active skill mastery. By leveraging Openclaw Skills, this agent analyzes transcripts, articles, or course notes to extract actionable principles and organize them into concrete, time-bound deliverables. The philosophy centers on the idea that 100 small reps are more valuable than 100 hours of theoretical study, focusing on rapid iteration rather than perfection.
This skill helps users escape tutorial hell by defining a clear quest and breaking it down into manageable segments. Whether you are learning a new programming language or a business strategy, the planner ensures every piece of content leads to a tangible result. Using Openclaw Skills like this turns every learning moment into a productive step toward your long-term goals by emphasizing shipping real code or products.
Ship-Learn-Next Action Planner Use Cases
- You have a technical transcript or article and want to implement the advice immediately without getting overwhelmed.
- You finished a tutorial but need help breaking down the big ideas into small, weekly shippable reps.
- You want to extract specific implementation steps from educational content rather than just taking notes.
- You need a structured progression path that builds on previous lessons through honest reflection and iteration.
How Ship-Learn-Next Action Planner Works
- The agent reads the provided content, such as transcripts, articles, or notes, to identify key takeaways.
- It extracts actionable principles, required skills, and case studies mentioned in the source material.
- A long-term quest is defined, framing a specific learning goal to be achieved over 4-8 weeks.
- The agent designs Rep 1, which is the smallest version of the project that can be shipped within one week.
- A structured Rep Plan is created, detailing success criteria, action steps, and minimal resources needed.
- Future iterations (Reps 2-5) are mapped out, ensuring each new step adds exactly one new challenge or element.
- The final plan is saved as a Markdown file for the user to track progress and record reflections.
Ship-Learn-Next Action Planner Setup
To activate this within your environment, ensure your AI agent has access to the local file system to save the generated action plans. Simply provide a text-based source to the agent and trigger the Openclaw Skills workflow for planning.
# Example: Tell the agent to process a specific file
# "Use the Ship-Learn-Next skill to process my notes in learning-react.txt"
Ship-Learn-Next Action Planner Data Schema & Taxonomy
The skill organizes its output into a structured Markdown file using a consistent naming convention: Ship-Learn-Next Plan - [Brief Quest Title].md. The data is organized as follows:
| Component | Description |
|---|---|
| Quest Overview | Defines the 4-8 week goal, the source material, and 3-5 core actionable lessons. |
| Rep Detail | Includes the Ship Goal, Timeline, Success Criteria, and specific Action Steps. |
| Practice Skills | Connects each rep back to specific concepts mentioned in the source content. |
| Reflection Section | A dedicated space for users to answer what worked, what didn't, and what to change. |
| Roadmap | A high-level progression path for future iterations to keep the momentum going. |
Ship-Learn-Next Action Planner Advanced Features
- Minimalist Resource Mapping: Identifies only the specific parts of a tutorial or video needed for the current rep to prevent information overload.
- Iterative Evolution: Future reps are not set in stone; the agent adjusts the difficulty and focus based on your reflections from previous shipping cycles.
- Content-Specific Processing: Specialized logic for different content types like YouTube transcripts, technical articles, or course notes to ensure the most relevant lessons are extracted.
- Reflection-Driven Growth: Incorporates a scoring system and specific reflection questions into the Openclaw Skills workflow to ensure every ship leads to actual learning.
SKILL.md
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