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Ship Learn Next

OrganizationPopular
softaworks
ship-learn-next

Transform learning content (like YouTube transcripts, articles, tutorials) into actionable implementation plans using the Ship-Learn-Next framework. Use when user wants to turn advice, lessons, or educational content into concrete action steps, reps, or a learning quest.

Overview

Publishersoftaworks
Repositoryagent-toolkit
Skill nameship-learn-next
Stars
2.5K
Forks
226
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by softaworks on GitHub. Read the source before you install it.

Installation

Install the Ship Learn Next AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/softaworks/agent-toolkit.git /tmp/agent-toolkit
mkdir -p .claude/skills
cp -r /tmp/agent-toolkit/skills/ship-learn-next .claude/skills/ship-learn-next
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ship Learn Next in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ship Learn Next on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ship Learn Next is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Ship-Learn-Next Action Planner

This skill helps transform passive learning content into actionable Ship-Learn-Next cycles - turning advice and lessons into concrete, shippable iterations.

When to Use This Skill

Activate when the user:

  • Has a transcript/article/tutorial and wants to "implement the advice"
  • Asks to "turn this into a plan" or "make this actionable"
  • Wants to extract implementation steps from educational content
  • Needs help breaking down big ideas into small, shippable reps
  • Says things like "I watched/read X, now what should I do?"

Core Framework: Ship-Learn-Next

Every learning quest follows three repeating phases:

  1. SHIP - Create something real (code, content, product, demonstration)
  2. LEARN - Honest reflection on what happened
  3. NEXT - Plan the next iteration based on learnings

Key principle: 100 reps beats 100 hours of study. Learning = doing better, not knowing more.

How This Skill Works

Step 1: Read the Content

Read the file the user provides (transcript, article, notes):

bash
# User provides path to file
FILE_PATH="/path/to/content.txt"

Use the Read tool to analyze the content.

Step 2: Extract Core Lessons

Identify from the content:

  • Main advice/lessons: What are the key takeaways?
  • Actionable principles: What can actually be practiced?
  • Skills being taught: What would someone learn by doing this?
  • Examples/case studies: Real implementations mentioned

Do NOT:

  • Summarize everything (focus on actionable parts)
  • List theory without application
  • Include "nice to know" vs "need to practice"

Step 3: Define the Quest

Help the user frame their learning goal:

Ask:

  1. "Based on this content, what do you want to achieve in 4-8 weeks?"
  2. "What would success look like? (Be specific)"
  3. "What's something concrete you could build/create/ship?"

Example good quest: "Ship 10 cold outreach messages and get 2 responses" Example bad quest: "Learn about sales" (too vague)

Step 4: Design Rep 1 (The First Iteration)

Break down the quest into the smallest shippable version:

Ask:

  • "What's the smallest version you could ship THIS WEEK?"
  • "What do you need to learn JUST to do that?" (not everything)
  • "What would 'done' look like for rep 1?"

Make it:

  • Concrete and specific
  • Completable in 1-7 days
  • Produces real evidence/artifact
  • Small enough to not be intimidating
  • Big enough to learn something meaningful

Step 5: Create the Rep Plan

Structure each rep with:

markdown
## Rep 1: [Specific Goal]

**Ship Goal**: [What you'll create/do]
**Success Criteria**: [How you'll know it's done]
**What You'll Learn**: [Specific skills/insights]
**Resources Needed**: [Minimal - just what's needed for THIS rep]
**Timeline**: [Specific deadline]

**Action Steps**:
1. [Concrete step 1]
2. [Concrete step 2]
3. [Concrete step 3]
...

**After Shipping - Reflection Questions**:
- What actually happened? (Be specific)
- What worked? What didn't?
- What surprised you?
- On a scale of 1-10, how did this rep go?
- What would you do differently next time?

Step 6: Map Future Reps (2-5)

Based on the content, suggest a progression:

markdown
## Rep 2: [Next level]
**Builds on**: What you learned in Rep 1
**New challenge**: One new thing to try/improve
**Expected difficulty**: [Easier/Same/Harder - and why]

## Rep 3: [Continue progression]
...

Progression principles:

  • Each rep adds ONE new element
  • Increase difficulty based on success
  • Reference specific lessons from the content
  • Keep reps shippable (not theoretical)

Step 7: Connect to Content

For each rep, reference the source material:

  • "This implements the [concept] from minute X"
  • "You're practicing the [technique] mentioned in the video"
  • "This tests the advice about [topic]"

But: Always emphasize DOING over studying. Point to resources only when needed for the specific rep.

Conversation Style

Direct but supportive:

  • No fluff, but encouraging
  • "Ship it, then we'll improve it"
  • "What's the smallest version you could do this week?"

Question-driven:

  • Make them think, don't just tell
  • "What exactly do you want to achieve?" not "Here's what you should do"

Specific, not generic:

  • "By Friday, ship one landing page" not "Learn web development"
  • Push for concrete commitments

Action-oriented:

  • Always end with "what's next?"
  • Focus on the next rep, not the whole journey

What NOT to Do

  • ❌ Don't create a study plan (create a SHIP plan)
  • ❌ Don't list all resources to read/watch (pick minimal resources for current rep)
  • ❌ Don't make perfect the enemy of shipped
  • ❌ Don't let them plan forever without starting
  • ❌ Don't accept vague goals ("learn X" → "ship Y by Z date")
  • ❌ Don't overwhelm with the full journey (focus on rep 1)

Key Phrases to Use

  • "What's the smallest version you could ship this week?"
  • "What do you need to learn JUST to do that?"
  • "This isn't about perfection - it's rep 1 of 100"
  • "Ship something real, then we'll improve it"
  • "Based on [content], what would you actually DO differently?"
  • "Learning = doing better, not knowing more"

Example Output Structure

markdown
# Your Ship-Learn-Next Quest: [Title]

## Quest Overview
**Goal**: [What they want to achieve in 4-8 weeks]
**Source**: [The content that inspired this]
**Core Lessons**: [3-5 key actionable takeaways from content]

---

## Rep 1: [Specific, Shippable Goal]

**Ship Goal**: [Concrete deliverable]
**Timeline**: [This week / By [date]]
**Success Criteria**:
- [ ] [Specific thing 1]
- [ ] [Specific thing 2]
- [ ] [Specific thing 3]

**What You'll Practice** (from the content):
- [Skill/concept 1 from source material]
- [Skill/concept 2 from source material]

**Action Steps**:
1. [Concrete step]
2. [Concrete step]
3. [Concrete step]
4. Ship it (publish/deploy/share/demonstrate)

**Minimal Resources** (only for this rep):
- [Link or reference - if truly needed]

**After Shipping - Reflection**:
Answer these questions:
- What actually happened?
- What worked? What didn't?
- What surprised you?
- Rate this rep: _/10
- What's one thing to try differently next time?

---

## Rep 2: [Next Iteration]

**Builds on**: Rep 1 + [what you learned]
**New element**: [One new challenge/skill]
**Ship goal**: [Next concrete deliverable]

[Similar structure...]

---

## Rep 3-5: Future Path

**Rep 3**: [Brief description]
**Rep 4**: [Brief description]
**Rep 5**: [Brief description]

*(Details will evolve based on what you learn in Reps 1-2)*

---

## Remember

- This is about DOING, not studying
- Aim for 100 reps over time (not perfection on rep 1)
- Each rep = Plan → Do → Reflect → Next
- You learn by shipping, not by consuming

**Ready to ship Rep 1?**

Processing Different Content Types

YouTube Transcripts

  • Focus on advice, not stories
  • Extract concrete techniques mentioned
  • Identify case studies/examples to replicate
  • Note timestamps for reference later (but don't require watching again)

Articles/Tutorials

  • Identify the "now do this" parts vs theory
  • Extract the specific workflow/process
  • Find the minimal example to start with

Course Notes

  • What's the smallest project from the course?
  • Which modules are needed for rep 1? (ignore the rest for now)
  • What can be practiced immediately?

Success Metrics

A good Ship-Learn-Next plan has:

  • ✅ Specific, shippable rep 1 (completable in 1-7 days)
  • ✅ Clear success criteria (user knows when they're done)
  • ✅ Concrete artifacts (something real to show)
  • ✅ Direct connection to source content
  • ✅ Progression path for reps 2-5
  • ✅ Emphasis on action over consumption
  • ✅ Honest reflection built in
  • ✅ Small enough to start today, big enough to learn

Saving the Plan

IMPORTANT: Always save the plan to a file for the user.

Filename Convention

Always use the format:

  • Ship-Learn-Next Plan - [Brief Quest Title].md

Examples:

  • Ship-Learn-Next Plan - Build in Proven Markets.md
  • Ship-Learn-Next Plan - Learn React.md
  • Ship-Learn-Next Plan - Cold Email Outreach.md

Quest title should be:

  • Brief (3-6 words)
  • Descriptive of the main goal
  • Based on the content's core lesson/theme

What to Save

Complete plan including:

  • Quest overview with goal and source
  • All reps (1-5) with full details
  • Action steps and reflection questions
  • Timeline commitments
  • Reference to source material

Format: Always save as Markdown (.md) for readability

After Creating the Plan

Display to user:

  1. Show them you've saved the plan: "✓ Saved to: [filename]"
  2. Give a brief overview of the quest
  3. Highlight Rep 1 (what's due this week)

Then ask:

  1. "When will you ship Rep 1?"
  2. "What's the one thing that might stop you? How will you handle it?"
  3. "Come back after you ship and we'll reflect + plan Rep 2"

Remember: You're not creating a curriculum. You're helping them ship something real, learn from it, and ship the next thing.

Let's help them ship.

Frequently asked questions

What does the Ship Learn Next AI skill do?

Transform learning content (like YouTube transcripts, articles, tutorials) into actionable implementation plans using the Ship-Learn-Next framework. Use when user wants to turn advice, lessons, or educational content into concrete action steps, reps, or a learning quest.

Why use Ship Learn Next on TypingMind?

Because you install it once and use it with any model. Ship Learn Next is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ship Learn Next in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/softaworks/agent-toolkit/tree/main/skills/ship-learn-next. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ship Learn Next?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ship Learn Next?

As many as you like. As long as a model supports skills, you can use Ship Learn Next with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ship Learn Next AI skill free?

Yes. It is published on GitHub by softaworks under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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