ship-learn-next
Transform learning content (like YouTube transcripts, articles, tutorials) into actionable implementation plans using the Ship-Learn-Next framework.
Skill by xkzs2007
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/xkzs2007-ship-learn-next
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: writing, agent-building
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What's inside
- Skill name
ship-learn-next- Description
- 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.
- License
- MIT
- Instructions
- 322 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- name: "ship-learn-next" does not match folder "davila7-claude-code-templates-ship-learn-next"
- allowed-tools: must be a space-separated string
Files (2)
- README.md
- SKILL.md
SKILL.md (first lines)
# 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**:
From xkzs2007/GalaxyOS-desktop, MIT.
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Signals
- Stars
- 3
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jun 12, 2026 (4 months ago)
- Last release
- Aug 1, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/xkzs2007/GalaxyOS-desktop
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
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ship-learn-next
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Transform learning content (like YouTube transcripts, articles, tutorials) into actionable implementation plans using the Ship-Learn-Next framework.
SkillFFreshness: F★ 562Claude Code +9 - 0.287score
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Transform learning content (like YouTube transcripts, articles, tutorials) into actionable implementation plans using the Ship-Learn-Next framework.
SkillDFreshness: D★ 15Claude Code +9
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SkillBFreshness: B★ 3Claude Code +9 - 0.564score
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ship-learn-next skill. Agent Mart. https://agentmart.dev/skills/xkzs2007-ship-learn-next (last updated 2026-10-24)