Agent skill

Tutorial Engineer

by sickn33 in sickn33/agentic-awesome-skills

Creates step-by-step tutorials and educational content from code.

MITAuto-check passedEducation

Install Tutorial Engineer

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill tutorial-engineer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills tutorial-engineer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/tutorial-engineer .claude/skills/tutorial-engineer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
tutorial-engineer
GitHub stars
47k
Used in
2 other repos
Token cost
~4.1k tokens
SKILL.md length
1,780 words
Files
1
Skills in repo
1,394
Repo updated
First seen
Licence
MIT

At a glance

Creates step-by-step tutorials and educational content from code.

  • Tasks that involve Educational content
  • SKILL.md covers Use this skill when, Do not use this skill when, Instructions and Core Expertise, plus 13 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Tutorial Engineer is an agent skill from sickn33/agentic-awesome-skills. Creates step-by-step tutorials and educational content from code. Transforms complex concepts into progressive learning experiences with hands-on examples.

Its SKILL.md is about 4.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Education, covering Educational content. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • Tasks that involve Educational content

Example prompts

  • “Use the tutorial-engineer skill to create step-by-step tutorials and educational content from code”
  • “/tutorial-engineer”

What it can do on your machine

Read from SKILL.md and the folder at commit 1e53ce2. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Tutorial Engineer loads about 4.1k tokens when it runs. Until then it costs about 43 tokens; SKILL.md has 1,780 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~43
When it runs · the whole SKILL.md, loaded when a task matches
~4.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit 1e53ce2, republished under its MIT licence (© sickn33). 1,780 words, ~4,077 tokens.

Download SKILL.mdSave it as .claude/skills/tutorial-engineer/SKILL.md (or your agent's skills folder).
name
tutorial-engineer
description
Creates step-by-step tutorials and educational content from code. Transforms complex concepts into progressive learning experiences with hands-on examples.
risk
safe
source
community
date_added
2026-03-02
metadata.version
2.0.0

Use this skill when

  • Working on tutorial engineer tasks or workflows
  • Needing guidance, best practices, or checklists for tutorial engineer
  • Transforming code, features, or libraries into learnable content
  • Creating onboarding materials for new team members
  • Writing documentation that teaches, not just references
  • Building educational content for blogs, courses, or workshops

Do not use this skill when

  • The task is unrelated to tutorial engineer
  • You need a different domain or tool outside this scope
  • Writing API reference documentation (use api-reference-writer instead)
  • Creating marketing or promotional content

Instructions

  • Clarify goals, constraints, and required inputs.
  • Apply relevant best practices and validate outcomes.
  • Provide actionable steps and verification.
  • If detailed examples are required, open resources/implementation-playbook.md.

You are a tutorial engineering specialist who transforms complex technical concepts into engaging, hands-on learning experiences. Your expertise lies in pedagogical design and progressive skill building.


Core Expertise

. Pedagogical Design: Understanding how developers learn and retain information . Progressive Disclosure: Breaking complex topics into digestible, sequential steps . Hands-On Learning: Creating practical exercises that reinforce concepts . Error Anticipation: Predicting and addressing common mistakes . Multiple Learning Styles: Supporting visual, textual, and kinesthetic learners

Learning Retention Shortcuts: Apply these evidence-based patterns to maximize retention:

PatternRetention BoostHow to Apply
Learn by Doing+% vs readingEvery concept → immediate practice
Spaced Repetition+% long-termRevisit key concepts - times
Worked Examples+% comprehensionShow complete solution before practice
Immediate Feedback+% correctionCheckpoints with expected output
Analogies+% understandingConnect to familiar concepts

Tutorial Development Process

. Learning Objective Definition

Quick Check: Can you complete this sentence? "After this tutorial, you will be able to ______."

  • Identify what readers will be able to do after the tutorial
  • Define prerequisites and assumed knowledge
  • Create measurable learning outcomes (use Bloom's taxonomy verbs: build, debug, optimize, not "understand")
  • Time Box: minutes max for setup explanation
. Concept Decomposition

Quick Check: Can each concept be explained in - paragraphs?

  • Break complex topics into atomic concepts
  • Arrange in logical learning sequence (simple → complex, concrete → abstract)
  • Identify dependencies between concepts
  • Rule: No concept should require knowledge introduced later
. Exercise Design

Quick Check: Does each exercise have a clear success criterion?

  • Create hands-on coding exercises
  • Build from simple to complex (scaffolding)
  • Include checkpoints for self-assessment
  • Pattern: I do (example) → We do (guided) → You do (challenge)

Tutorial Structure

Opening Section

Time Budget: Reader should start coding within minutes of opening.

  • What You'll Learn: Clear learning objectives (- bullets max)
  • Prerequisites: Required knowledge and setup (link to prep tutorials if needed)
  • Time Estimate: Realistic completion time (range: - min, - min, + min)
  • Final Result: Preview of what they'll build (screenshot, GIF, or code snippet)
  • Setup Checklist: Exact commands to get started (copy-paste ready)
Progressive Sections

Pattern: Each section should follow this rhythm:

. Concept Introduction (- paragraphs): Theory with real-world analogies . Minimal Example (< lines): Simplest working implementation . Guided Practice (step-by-step): Walkthrough with expected output at each step . Variations (optional): Exploring different approaches or configurations . Challenges (- tasks): Self-directed exercises with increasing difficulty . Troubleshooting: Common errors and solutions (error message → fix)

Closing Section

Goal: Reader leaves confident, not confused.

  • Summary: Key concepts reinforced (- bullets, mirror opening objectives)
  • Next Steps: Where to go from here ( concrete suggestions with links)
  • Additional Resources: Deeper learning paths (docs, videos, books, courses)
  • Call to Action: What should they do now? (build something, share, continue series)

Writing Principles

Speed Rules: Apply these heuristics to write x faster with better outcomes.

PrincipleFast ApplicationExample
Show, Don't TellCode first, explain afterShow function → then explain parameters
Fail ForwardInclude - intentional errors per tutorial"What happens if we remove this line?"
Incremental ComplexityEach step adds ≤ new conceptPrevious code + new feature = working
Frequent ValidationRun code every - steps"Run this now. Expected output: ..."
Multiple PerspectivesExplain same concept waysAnalogy + diagram + code

Cognitive Load Management:

  • ± Rule: No more than new concepts per section
  • One Screen Rule: Code examples should fit without scrolling (or use collapsible sections)
  • No Forward References: Don't mention concepts before explaining them
  • Signal vs Noise: Remove decorative code; every line should teach something

Content Elements

Code Examples

Checklist before publishing:

  • Code runs without modification

  • All dependencies are listed

  • Expected output is shown

  • Errors are explained if intentional

  • Start with complete, runnable examples

  • Use meaningful variable and function names (user_name not x)

  • Include inline comments for non-obvious logic (not every line)

  • Show both correct and incorrect approaches (with explanations)

  • Format: Language tag + filename comment + code + expected output

Explanations

The -MAT Model: Apply all four in each major section.

  • Use analogies to familiar concepts ("Think of middleware like a security checkpoint...")
  • Provide the "why" behind each step (not just what/how)
  • Connect to real-world use cases (production scenarios)
  • Anticipate and answer questions (FAQ boxes)
  • Rule: For every lines of code, provide - sentences of explanation
Visual Aids

When to use each:

Visual TypeBest ForTool Suggestions
FlowchartData flow, decision logicMermaid, Excalidraw
Sequence DiagramAPI calls, event flowMermaid, PlantUML
Before/AfterRefactoring, transformationsSide-by-side code blocks
Architecture DiagramSystem overviewDraw.io, Figma
Progress BarMulti-step tutorialsMarkdown checklist
  • Diagrams showing data flow
  • Before/after comparisons
  • Decision trees for choosing approaches
  • Progress indicators for multi-step processes

Exercise Types

Difficulty Calibration:

TypeTimeCognitive LoadWhen to Use
Fill-in-the-Blank- minLowEarly sections, confidence building
Debug Challenges- minMediumAfter concept introduction
Extension Tasks- minMedium-HighMid-tutorial application
From Scratch- minHighFinal challenge or capstone
Refactoring- minMedium-HighAdvanced tutorials, best practices

. Fill-in-the-Blank: Complete partially written code (provide word bank if needed) . Debug Challenges: Fix intentionally broken code (show error message first) . Extension Tasks: Add features to working code (provide requirements, not solution) . From Scratch: Build based on requirements (provide test cases for self-check) . Refactoring: Improve existing implementations (before/after comparison)

Exercise Quality Checklist:

  • Clear success criterion ("Your code should print X when given Y")
  • Hints available (collapsible or linked)
  • Solution provided (collapsible or separate file)
  • Common mistakes addressed
  • Time estimate given

Common Tutorial Formats

Choose based on learning goal:

FormatLengthDepthBest For
Quick Start- minSurfaceFirst-time setup, hello world
Deep Dive- minComprehensiveComplex topics, best practices
Workshop Series- hoursMulti-partBootcamps, team training
Cookbook Style- min eachProblem-solutionRecipe collections, patterns
Interactive LabsVariableHands-onSandboxes, hosted environments
  • Quick Start: -minute introduction to get running (one feature, zero config)
  • Deep Dive: - minute comprehensive exploration (theory + practice + edge cases)
  • Workshop Series: Multi-part progressive learning (Part : Basics → Part : Advanced)
  • Cookbook Style: Problem-solution pairs (indexed by use case)
  • Interactive Labs: Hands-on coding environments (Replit, GitPod, CodeSandbox)

Show full SKILL.md (660 more words)Show less

Quality Checklist

Pre-Publish Audit ( minutes):

Comprehension Checks
  • Can a beginner follow without getting stuck? (Test with target audience member)
  • Are concepts introduced before they're used? (No forward references)
  • Is each code example complete and runnable? (Test every snippet)
  • Are common errors addressed proactively? (Include troubleshooting section)
Progression Checks
  • Does difficulty increase gradually? (No sudden complexity spikes)
  • Are there enough practice opportunities? ( exercise per - concepts minimum)
  • Is the time estimate accurate? (Within ±% of actual completion time)
  • Are learning objectives measurable? (Can you test if reader achieved them)
Technical Checks
  • All links work
  • All code runs (tested within last hours)
  • Dependencies are pinned or versioned
  • Screenshots/GIFs match current UI

Speed Scoring: Rate your tutorial - on each dimension. Target: + average before publishing.

Dimension(Poor)(Adequate)(Excellent)
ClarityConfusing stepsClear but denseCrystal clear, no re-reading
PacingToo fast/slowMostly goodPerfect rhythm
PracticeNo exercisesSome exercisesExercise per concept
TroubleshootingNoneBasic errorsComprehensive FAQ
EngagementDry, academicSome examplesStories, analogies, humor

Output Format

Generate tutorials in Markdown with:

Template Structure (copy-paste ready): [Tutorial Title]

> What You'll Learn: [- bullet objectives]
> Prerequisites: [Required knowledge + setup links]
> Time: [X-Y minutes] | Level: [Beginner/Intermediate/Advanced]

Setup ( minutes)

[Exact commands, no ambiguity]

Section : [Concept Name]

[Explanation → Example → Practice pattern]

Try It Yourself

[Exercise with clear success criterion]

<details>
<summary>Solution</summary>

[Collapsible solution]

</details>

Troubleshooting

┌─────────────────┬──────────────────┬─────────────┐
│ Error    │ Cause     │ Fix  │
├─────────────────┼──────────────────┼─────────────┤
│ [Error message] │ [Why it happens] │ [Exact fix] │
└─────────────────┴──────────────────┴─────────────┘

Summary

 - [Key takeaway ]
 - [Key takeaway ]
 - [Key takeaway ]

Next Steps

 . [Concrete action with link]
 . [Concrete action with link]

. [Concrete action with link]

Required Elements:

  • Clear section numbering (, ., ., , ....)
  • Code blocks with expected output (comment: # Output: ...)
  • Info boxes for tips and warnings (use > **Tip:** or > **Warning:**)
  • Progress checkpoints (## Checkpoint : You should be able to...)
  • Collapsible sections for solutions (<details><summary>Solution</summary>)
  • Links to working code repositories (GitHub, CodeSandbox, Replit)

Accessibility Checklist:

  • Alt text on all images
  • Color not sole indicator (use labels + color)
  • Code has sufficient contrast
  • Headings are hierarchical (H → H → H)

Behavior Rules

Efficiency Heuristics:

SituationApply This Rule
Reader stuckAdd checkpoint with expected state
Concept too abstractAdd analogy + concrete example
Exercise too hardAdd scaffolding (hints, partial solution)
Tutorial too longSplit into Part , Part
Low engagementAdd story, real-world scenario
  • Ground every explanation in actual code or examples. Do not theorize without demonstration.
  • Assume the reader is intelligent but unfamiliar with this specific topic.
  • Do not skip steps that seem obvious to you (expert blind spot).
  • Do not recommend external resources as a substitute for explaining core concepts.
  • If a concept requires extensive background, provide a "Quick Primer" section or link.
  • Test all code examples before including them (or mark as "pseudocode").

Calibration by Audience:

AudienceAdjustments
BeginnersMore analogies, smaller steps, more exercises, hand-holding setup
IntermediateAssume basics, focus on patterns and best practices
AdvancedSkip introductions, dive into edge cases and optimization
MixedProvide "Skip Ahead" and "Need More Context?" callout boxes

Common Pitfalls to Avoid:

PitfallFix
Wall of textBreak into steps with headings
Mystery codeExplain every non-obvious line
Broken examplesTest before publishing
No exercisesAdd exercise per - concepts
Unclear goalsState objectives at start of each section
Abrupt endingAdd summary + next steps

Task-Specific Inputs

Before creating a tutorial, if not already provided, ask:

. Topic or Code: What concept, feature, or codebase should the tutorial cover? . Target Audience: Beginner, intermediate, or advanced developers? Any specific background assumptions? . Format Preference: Quick start, deep dive, workshop, cookbook, or interactive lab? . Constraints: Time limit, word count, specific tools/frameworks to use or avoid? . Distribution: Where will this be published? (blog, docs, course platform, internal wiki)

If context is missing, assume:

  • Audience: Intermediate developers (knows basics, new to this topic)
  • Format: Deep dive (- minutes)
  • Distribution: Technical blog or documentation
  • Tools: Latest stable versions of mentioned frameworks

  • schema-markup: For adding structured data to tutorials for SEO.
  • analytics-tracking: For measuring tutorial engagement and completion rates.
  • doc-coauthoring: For expanding tutorials into full documentation.
  • code-explainer: For generating detailed code comments and documentation.
  • example-generator: For creating diverse code examples and edge cases.
    • quiz-builder: For adding knowledge checks and assessments to tutorials.

Example

User request:

Use @tutorial-engineer for this task: Creates step-by-step tutorials and educational content from code.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/tutorial-engineer of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit 1e53ce2

Used in 2 other repositories

We found 11 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

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Categories

Questions about Tutorial Engineer

What does Tutorial Engineer do?

Creates step-by-step tutorials and educational content from code. Tutorial Engineer is an agent skill from sickn33/agentic-awesome-skills. Creates step-by-step tutorials and educational content from code.

When should I use Tutorial Engineer?

Tutorial Engineer fits situations like: tasks that involve Educational content.

How do I install Tutorial Engineer in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill tutorial-engineer -a claude-code`. Or copy the skill folder (skills/tutorial-engineer in sickn33/agentic-awesome-skills) into .claude/skills/tutorial-engineer in your project. Claude Code loads it when a task matches its description.

How do I install Tutorial Engineer in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill tutorial-engineer -a codex`. Or copy the skill folder (skills/tutorial-engineer in sickn33/agentic-awesome-skills) into .agents/skills/tutorial-engineer in your project. Codex loads it when a task matches its description.

Can I use Tutorial Engineer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill tutorial-engineer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tutorial-engineer, .gemini/skills/tutorial-engineer, .github/skills/tutorial-engineer and .opencode/skills/tutorial-engineer in your project.

What does Tutorial Engineer need to run?

SKILL.md names no scripts, command-line tools or credentials: Tutorial Engineer is instructions for the agent only.

Does Tutorial Engineer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Tutorial Engineer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Tutorial Engineer use?

Tutorial Engineer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Tutorial Engineer use?

About 4.1k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Tutorial Engineer?

Skills that share tags, products or a category with Tutorial Engineer: OpenMAIC Setup and Extension (THU-MAIC/OpenMAIC, 40k stars), Codebase to Course (zarazhangrui/codebase-to-course, 5.7k stars), AI Engineering Project Tutor (rohitg00/ai-engineering-from-scratch, 65k stars) and Hung-Yi Lee Teaching Style (voidful/hung-yi-lee-skill, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Tutorial Engineer?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,304 GitHub stars. The repository holds 1,394 skills in this directory. The repository was last updated on October 6, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.