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Every time that you open up a new chat with Claude, it forgets everything. Your tone, your formatting rules, the exact way that you like your report structured, all gone. So you type it all out again and again and again.
Learn how to make Claude remember your tone, formatting, and workflow rules using Claude Skills, built via a meta prompt that interviews you and generates a working skill in minutes.
Key Takeaways
- Claude Skills eliminate repeated setup by storing persistent rules that load automatically on matching requests.
- A well-written description in the YAML front matter is critical, since it determines whether the skill activates at all.
- Skills are more efficient than long saved prompts because only relevant instructions enter the context window.
- A meta prompt can generate a functional skill through guided questions, avoiding the need to hand-write YAML.
What the video covers
- Claude forgets all custom instructions (tone, formatting, report structure) when a new chat starts, forcing users to repeat themselves.
- Claude Skills store reusable operating rules that load automatically when a request matches the skill's purpose.
- Each skill has a YAML front matter block (unique name and description) and a markdown instruction body with procedures, output formats, and constraints.
- The description in the front matter is the key routing signal; a vague or generic description means the skill may never activate, with no error shown.
- Skills use progressive disclosure: only the short front matter stays in context for routing, while the full instruction body loads only when matched, keeping context lean.
- On Claude.ai, skills are packaged as a zip and uploaded through settings; in Claude Code, skills are placed as files in a directory like claude/skills/ and discovered directly.
- Multiple skills can be active at once and load together when a request matches more than one description.
- A meta prompt acts as a process documentation analyst, asking questions one at a time to build the skill from the user's answers.
- The presenter demonstrates three skills: a voice-matching writing skill, a fixed-structure weekly report skill, and a technical documentation audit skill.
- Testing shows a skill can silently fail to trigger, and the fix is usually to broaden the description with natural trigger words users would actually type.
Chapters
- 00:00The Problem: Claude Forgets Everything
- 02:10Introduction to Claude Skills and the Meta Prompt
- 04:25Anatomy of a Skill: YAML Front Matter and Instructions
- 08:00Installing Skills on Claude.ai vs. Claude Code
- 12:00Building and Testing the Three Example Skills
- 26:00Troubleshooting: Why Skills Fail to Trigger
Full Transcript — Download SRT & Markdown
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is exactly why there's one specific thing that you can paste into Claude that makes it stop needing that setup entirely and instead start giving you dramatically better output from the very first message. Now, most people assume that this is just the cost of doing
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Which is exactly why there's one specific thing that you can paste into Claude that makes it stop needing that setup entirely and instead start giving you dramatically better output from the very first message.
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correctly, it loads your exact rules automatically the second that your request matches the task without you having to say a word about tone or format ever again. So, here's the best part. You don't need to know how to
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Now, most people assume that this is just the cost of doing business with AI. No. That repeating yourself is the price you pay for a fresh session. Uh-uh. That's the common belief, but it's wrong. Claude has a feature most people never even touch, called skills. And once it is set up correctly, it loads your exact rules automatically the second that your request matches the task, without you having to say a word about tone or format ever again.
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functional skill in minutes. And to prove that this isn't just a one-trick setup, I'm going to build three completely different skills with it live. one that writes in your exact voice, one that forces every weekly report into the same structure, and one
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So here's the best part. You don't need to know how to build one of these from scratch. There's no YAML to learn. There's no config file to handwrite. So in this video, I'm going to give you one single meta prompt that interviews you about your work, and then it turns your answers into a fully functional skill in minutes.
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make sure you stick around because that part matters more than the skill itself. Now, if you really do want to master AI tools and you really do want to learn how to build profitable SAS apps, websites, AI agents, and mobile apps
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And to prove that this isn't just a one-trick setup, I'm going to build three completely different skills with it live: one that writes in your exact voice, one that forces every weekly report into the same structure, and one that audits technical docs against a fixed checklist. So it's the same prompt, three totally different outcomes.
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Just check out the link in the description to get free access to my master class and you too can start building your own AI powered business today. All right, let's go ahead and get started. If you keep giving Claude the
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There's a catch that most people get wrong when they try this themselves, and it'll quietly break the entire system before it ever runs. So make sure you stick around, because that part matters more than the skill itself.
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request happens to match what that skill was designed for then those instructions can load automatically. Every cloud scale has two main parts. The first is a YAML front matter block at the top of the file placed between triple dash
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Now, if you really do want to master AI tools and you really do want to learn how to build profitable SaaS apps, websites, AI agents, and mobile apps with AI, I've created a complete master class that shows you exactly how to do all of this step by step. My master class normally costs $499 to join, but since you are watching this video, you can join completely free. Just check out the link in the description to get free access to my master class, and you too can start building your own AI-powered business today.
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specifically avoid. Now, out of those two parts, the description here is probably the one you need to pay the most attention to. Claude uses that description to decide when the skill should load. But if it's too vague, too
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All right, let's go ahead and get started.
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inactive asleep, and Claude answers normally without applying those custom instructions. So, how you install a skill also depends on where you're using Claude. On Claude.ai, AI skills are managed through the web interface. You package the skill directory as a zip
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If you keep giving Claude the same instructions every time you start a new conversation, a skill is basically a way to just stop repeating yourself. So you define the rules once, and then Claude keeps them available in the background, and whenever your request happens to match what that skill was designed for, those instructions can load automatically.
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directory such as cloud/skills/skill.md in a project or home directory and then cloud code can discover and read it directly from there. There's no zip file or browser upload involved. Cloud can also use more than just one skill at the
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Every Claude skill has two main parts. The first is a YAML front matter block at the top of the file, placed between triple dash lines. It contains two required pieces of information: the skill's unique name and its description. Directly below that is the markdown instruction body, which contains the actual operating rules that Claude should follow, including procedures, output formats, context rules, and anything it should specifically avoid.
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need to reference or know about each other beforehand. And that also explains why scales are different from keeping one huge save prompt or dumping all of your instructions into every conversation. A long permanent instruction set stays in the context
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Out of those two parts, the description is probably the one you need to pay the most attention to. Claude uses that description to decide when the skill should load. But if it's too vague, too generic, or missing the kinds of words that people would naturally use when requesting that task, then Claude may simply fail to connect the prompt to the skill. There usually isn't an error telling you something went wrong. The skill just stays inactive, and Claude answers normally without applying those custom instructions.
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Skills use progressive disclosure. So Claude keeps only the short front matter information roughly around say 100 tokens available for routing. the larger instruction body gets pulled into the conversation only when your request actually matches the scale. So that
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How you install a skill also depends on where you're using Claude. On Claude.ai, skills are managed through the web interface. You package the skill directory as a zip file and upload it through settings, where it can then be stored and used across your browser sessions. Claude Code handles it differently, because the skills live directly on your file system. A skill can sit inside a directory such as claude/skills/skill.md in a project or home directory, and Claude Code can discover and read it directly from there. There's no zip file or browser upload involved.
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follow the same writing rules, or check the same things before approving a document. Now the problem is those habits usually live in your head. So every time you use claude, you end up explaining them all over again. The
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Claude can also use more than one skill at the same time. Say you have one skill for extracting data and another for following your company's writing voice. If your request matches both descriptions, Claude can load both sets of instructions and apply them together. The skills do not need to reference or know about each other beforehand.
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then builds the skill from your answers. The prompt tells Claw to act like a process documentation analyst. It asks four questions one at a time, starting with the recurring task that you want to automate. And then it asks what kinds of
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That also explains why skills are different from keeping one huge saved prompt or dumping all of your instructions into every conversation. A long permanent instruction set stays in the context even when most of it has nothing to do with what you're currently working on.
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front matter, a clear trigger focus description, and the markdown instructions underneath it. Now, I'm not going to read the entire meta prompt here line by line because it is quite long. So, you can pause it here if you
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Skills use progressive disclosure. Claude keeps only the short front matter, roughly around 100 tokens, available for routing. The larger instruction body gets pulled into the conversation only when your request actually matches the skill. That keeps unrelated instructions out of the way while still making the full workflow available when you need it.
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skill extractor, and then let Claude decide what kind of skill to build for this demonstration. And as soon as I send it, Claude then begins the interview before creating anything. So that part matters because it's pulling the actual workflow out of the user
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Most people already have certain tasks they do the same way every single time. Maybe you always structure a report a certain way, follow the same writing rules, or check the same things before approving a document. The problem is those habits usually live in your head, so every time you use Claude, you end up explaining them all over again.
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sense because, well, a lot of the work that I do revolves around YouTube content, obviously, right? So, the skill is designed to take raw channel analytics and then turn them into useful weekly performance briefs. Now looking at the finished file here, the front
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The skill extractor is designed to turn those repeated habits into an actual Claude skill. Rather than asking you to figure out the YAML yourself, write a skill file from scratch, or document your entire workflow perfectly, it interviews you first and then builds the skill from your answers. The prompt tells Claude to act like a process documentation analyst. It asks four questions, one at a time, starting with the recurring task you want to automate. Then it asks what kinds of prompts, tasks, or files should trigger the skill, what rules or structure Claude should follow every time, and what mistakes or behaviors it should avoid.
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Take messy channel analytics and then turn them into something you can quickly use to understand performance and decide what to do next. The operating rules then lock the output into three parts.
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Once those four answers are collected, Claude turns everything into a complete skill file with proper YAML front matter, a clear, trigger-focused description, and the markdown instructions underneath.
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hooks. It also keeps the tone very direct and conversational and limits each section so that the report stays easy to scan. And then finally, the skill includes strict guard rails. So Cloud is not allowed to invent data, fall back on vague advice like telling
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I'm not going to read the entire meta prompt line by line because it is quite long, so you can pause here if you want to copy the exact version I'm using.
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already see here what it's doing. It takes a workflow that would normally be quite difficult to explain as a configuration file and then it turns a short interview into a structured skill you can actually save and reuse. If you
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For the first run, I want to see what happens before we give it a specific task. I'm going to open claude.ai, start a new chat, paste in the skill extractor, and let Claude decide what kind of skill to build for this demonstration. As soon as I send it, Claude begins the interview before creating anything. That matters, because it's pulling the actual workflow out of the user rather than guessing what a generic version of that task should look like. Your answers define the trigger conditions, the rules, and the things Claude needs to avoid.
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normally write. A writing voice skill is meant to save you from repeating that process every single time. So, for the first real example here, we'll use the skill extractor to build a personal writing voice. I'm going to open up a
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In this test, Claude ended up creating a skill called YouTube weekly brief, which makes sense, since a lot of the work I do revolves around YouTube content. The skill is designed to take raw channel analytics and turn them into useful weekly performance briefs. Looking at the finished file, the front matter gives the skill its name and defines the kinds of requests that should activate it, including weekly video briefs, content performance notes, CSV exports, and YouTube Studio screenshots. The purpose is clearly defined too: take messy channel analytics and turn them into something you can quickly use.
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actually want my writing to sound. For this recurring task, I'm going to tell Claude that I want the skill to handle blog posts, newsletter updates, and social announcements in my personal voice. I also want it to activate whenever I ask Claude to write, draft,
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edit, or polish rank content. Then, I'm going to give it these style rules. Now, the writing should use an active direct voice. Keep the sentences short and punchy and then lean on practical realworld examples rather than say highle theory. I'm also going to give
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Claude a few things I never want to see, including corporate buzzwords like synergy or cutting edge and game changer. You know those along with generic openings like in today's fast-paced world that once those answers are in, Claude uses them to generate the
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complete skill. And the first thing that we need to check is the description in the front matter because that is again what decides when this skill actually loads. So in this case, Claude ties writing actions like write, draft, edit,
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and polish to specific formats such as blog posts, newsletters, emails, social captions, and announcements. So then that makes the trigger broad enough to catch normal writing requests without activating say during something unrelated like debugging code or analyzing data. It also applies the
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voice rules when I'm clearly asking for written copy even if I don't even mention a specific format. And then once everything looks right to me, we can now just save the skill. And that installs it and adds it to our skill list. So now
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even we can test whether it actually works in a fresh conversation. So for this test, I'm deliberately going to use something completely different from the examples that we gave during setup. So I'm going to open up a new chat here and
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ask Claude, rewrite this update for our weekly subscriber list. And then I'm going to paste in a stiff system maintenance notice about a database migration, temporary service issues, and scheduled downtime. Now, the original message uses phrases like, "Dear valid
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users, please be advised," and temporary service degradation. It's exactly the kind of formal corporate language our skill was told to avoid. So, after I send that off, Claude automatically loads the personal voice writer skill without me having to mention the skill
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or repeat any of those tone instructions. So that's the first thing we do want to confirm because now it tells us the description and the trigger are working properly. Then we can look at the writing itself. Claude removes
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the stiff corporate language and turns the update into something much more direct and conversational. Phrases like please be advised that disappears. The paragraphs become shorter and the message just gets to the point a lot faster. It also avoids those banned
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buzzwords and doesn't fall back on one of those generic introductions we specifically told it not to use. Now, the important part is that I didn't have to explain my writing style again in this new conversation. The rules were
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already stored inside the skill itself and then loaded automatically when I asked for a rewrite. And that is what makes a writing voice skill useful because once it's set up properly, the tone you normally spend several prompts trying to correct, well, that can be
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applied already from the first response. All right, so we all know that weekly reports get repetitive very fast, especially when you already know what the exact format you want every single time. The real hassle is having to remind Claude about the section order,
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how long each part should be, which details belong in a table, and all the formatting rules you've already explained before. So for this second skill, we're going to automate that structure. Let's open up a new chat here and then run the same skill extractor
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again, but this time the recurring task is a weekly executive status report. And the goal is to take raw project updates, meeting notes, or task lists, and then automatically organize them into the same report format every time. So here
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I'm telling Claw that the skill should activate whenever I provide things like project updates, operational notes, or task logs, and ask for an executive report, status update, or a project summary. And then I'm going to define the structure that I want it to follow.
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Every report needs four sections in the same order. It starts with an executive summary limited to two sentences followed by key deliverables completed as a bulleted list. Risks and blockers should appear as a table showing the risk, its potential impact, and the
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person responsible. And then the final section is next week priorities presented as an ordered list. Now, I'm also going to make the restrictions here very clear. Claude should not rename any of those headers, add an introduction or a sign off, or turn information that
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belongs in a list or table into a huge paragraph. And then once the interview is complete, Claude takes those requirements and builds the skill for us. So this example is a little different from the writing voice skill.
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Now the first one was mostly concerned with how Claude writes. Here we're controlling how Claude organizes information. The wording can change based on the project, but the structure should stay exactly the same. So now looking at the generated weekly exact
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status report skill, the description is specific enough to recognize messy sources like meeting notes, task logs, and operational updates when they're paired with requests such as say an update for leadership or an executive summary. So at the same time, it
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shouldn't activate just because I'm taking ordinary notes or working on something unrelated. The instructions also preserve the exact four section layout that we asked for. The executive summary stays at two sentences as we requested. The completed work goes into
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bullets. Risks and blockers uses a three column table and next week priority stays numbered. It also blocks out fabricated details, conversational preamles, and closing remarks. So now once that looks right, we can just save the skill and then open up a completely
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new conversation to go ahead and test it out on information it hasn't seen before. So for this task, I'm going to ask Claude to convert these raw project notes into an executive status report and then give it a deliberately messy
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collection of engineering notes, Slack messages, blockers, and action items from Project Titan. Now, the nodes here include a completed shard of four database migration that reduce staging latency by 18 milliseconds. Although Elena still needs to approve the encrypted backup routine. Sarah has
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finished the String API version 3 migration and Q&A has already tested checkout on both iOS and Android with zero failures. Marketing has also launched the early access page and collected more than 4,200 email signups. And then the notes gets
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even messier because there is an OOTH 2 token refresh issue producing intermittent 500 errors during low tests above 5,000 concurrent requests. Readus memory is spiking and locking up. Nobody has officially been assigned to fix it yet. and missing the Thursday deadline
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could then delay the November 1st public beta by at least 2 weeks and then force marketing to pause paid campaigns.
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There's also an infrastructure blocker. Finance has flagged a $3,500 monthly AWS expansion cost. Mark is handling the review and the team cannot launch the EU production clusters until that budget is approved. The action list includes Sarah auditing token expiry
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logic by Tuesday at 2 p.m. Infra running final EU staging load tests once the budget clears. Dave patching up the ready memory leak after he's assigned.
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Mark following up with finance by Friday morning. And Elena completing the backup security audit. So, I've even mixed in irrelevant notes about a broken third floor coffee machine and the team lunch moving to Friday just to see whether the
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skill knows what to leave out. So, after I send over everything, Claude automatically loads the weekly exec status report skill as so and goes directly into our required structure.
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There is no polite introduction or closing message. The messy source material gets condensed into a two-s sentence executive summary. The completed work is organized under key deliverables and the important risks appear here in the three column risks and blockers table. If a risk does not
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have a clear owner, Claude labels it as unassigned rather than just making one up. The action items also turned into next week priorities while things like the coffee machine and the team lunch just disappear completely. So before creating the skill, I would have to
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explain all of these formatting requirements every single time that I wanted the report. I'd be specifying the four headers, the two sentence limit, the table columns, the numbered priorities, and everything Claude should leave out. And that's easily another
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what 150 to 200 words of setup before it even touches the actual project information. Now the entire request can be one sentence followed by the raw notes. The structure is already stored inside of the skill. So the weekly
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report just comes back to me in the same format without rebuilding the instructions every single time. Now here's another struggle that I know a lot of you can relate to. Reviewing the same kinds of documents over and over
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usually means checking for the same mistakes over and over. Maybe it's missing safety notes, unclear instructions, or required details that someone forgot to include. So, for this third skill, we're going to turn those recurring checks into an automatic
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standards review. So, let's open up a new chat and then run the skill extractor again. But this time, the task is auditing technical documentation, system guides, and procedural manuals before they're polished. And for this one, we're going to tell Claw that the
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skill should activate whenever I submit technical documentation, API specifications, or installation guides, and ask it to review, audit, inspect, or check them for publication readings. And then we need to define the three standards it needs to check every time.
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So first any procedure involving hardware or system changes needs a clear safety warning block. Second, every code or API example needs to list the required parameters and their data types. Third, navigation steps need to use clear action verbs such as click,
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select, or navigate to rather than vague wording. I'm also going to tell Clot exactly how I want the review presented.
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It shouldn't give me vague advice, general appraise, or silently ignore something that doesn't meet the rules.
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The output should stay under two headers only identified non-compliant elements and required revisions with no conversational introduction or closing remarks, of course. So after that, Claude will then turn those requirements into the doc publication auditor skill.
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Now this example does something different from the first two as well. Because the writing voice skill controls tone and the report skill controls structure, here claude is acting more like a quality control layer. Its job is to look at existing material, find out
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what's missing or wrong, and then compare it against a fixed set of standards. Now looking at the generated skill here, the description is focused on technical documentation, API specs and installation guides paired with requests like is this ready? Check this
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guide or other review commands. Now that keeps it tied to the actual publication checks rather than activating during general writing tasks. So the rules inside the skill are also concrete enough to be checked as pass or fail.
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Hardware procedures need visible safety warnings. API parameters need proper data types and interface instructions need explicit navigation actions. Now, Cloud is also locked into those two required output sections. So, the result stays focused on problems and fixes rather than say drifting into a general
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rewrite. Since I'm pretty happy now with the skill, I'm going to go ahead and save it and then open up a fresh chat to test it out. So, for this test, I'm going to ask Claude to audit this
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technical guide for publication readiness. And then I'm going to paste in a gateway controller setup guide that deliberately breaks several of our rules. So, the guide here includes a firmware flashing procedure where someone opens up the hardware, attaches
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a 12vt jumper wire to the bootloadader pins, reconnects live power, and only mentions the electrical danger inside a normal sentence. It also contains vague interface directions like go to settings, fix the options, and find the main dashboard. And now the API section
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has problems too. It shows a JSON payload containing device ID, timeout, and debug mode, but it doesn't explain the data type of each parameter or whether they're required. So, we're giving the skill several different violations to catch in one document. So
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after sending that over, Claude automatically loads the doc publication auditor skill and starts checking the guide against the standards that we saved earlier. The response here identifies nine non-compliant items without me pointing out where any of them are. It catches the missing safety
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blocks. It notices that the live power warning is buried inside ordinary pros, flags the API parameters for missing types and required or optional labels, and picks up the vague navigation language. And then under required revisions, Claude gives specific fixes
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for each problem. It creates proper warning and caution blocks. It adds clearer JSON data types such as integer in seconds and replaces vague navigation directions with direct instructions like click settings and select network routing. It also follows the format that
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we actually ask for. There's no friendly introduction, no sign off and no general praise about the document. It just starts directly with the problems, follows with the required fixes, and stays focused on auditing rather than rewriting the entire guide. And that is
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what makes this type of skill useful because once your standards are then saved, you just don't have to remember every single check each time a document comes in. Claude can just apply the same review criteria automatically and then
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just catch his shoes before the material gets published. Now, one of the most confusing things about Claude Skills is that sometimes nothing looks broken. The skill is installed, okay, the file looks fine, okay, and Claude still answers your request like the skill doesn't
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exist. There's usually no error message either, which makes this one of the easiest problems to miss out on. The quickest way to check is at the top of Claude's response. When a skill activates correctly, you will see a
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scroll icon and a message such as loaded doc publication auditor skill. And if that banner never appears, then claw did not connect your request to the description inside the skills yaml front matter. So the skill never even loaded.
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So let's deliberately make that happen here using the auditor skill that we just built. So I'm going to open up a new chat and use a much more casual request. improve the readability and formatting of the setup guide. And then
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I'm going to paste in another technical document containing the same kinds of problems our auditor is supposed to catch. So the test guide here covers an edge node V3 setup. It includes a hardware jumper reset that involves opening the casing, bridging exposed
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board jumpers, and then reapplying power. The navigation section uses vague directions. I go to settings, fix the options, and find the main dashboard.
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And then the API example also includes node ID, retry, limit, and is active without clearly defining their data types. And then after sending it over, Claude responds more like a normal writing assistant. It may improve the wording. It may clean up the formatting
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or give a polite summary, but our strict identified non-compliant elements and required revisions format, well, that never appears. More importantly, the loaded doc publication auditor scale banner, well, it's not there. It's missing. And the reason is the wording
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of my request. Our original skill description was built around terms like review audit inspect publication readiness, and compliance. improve the readability and formatting sounds like a general editing request. So Claude doesn't recognize it as something that should activate the auditor. Now this is
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where the description matters more than anything inside the skill itself because Claw decides whether to load a skill by looking at the front matter description first. The detailed instructions in the markdown body haven't even been loaded at that point. So rewriting those
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internal rules won't solve a trigger problem. There is a simple repair prompt for this. You can tell Claude which skill failed, give it the exact request that should have triggered it, and then ask just ask Claude to inspect the
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skill's current description, and then rewrite it. So similar phrasing will then be recognized in the future without making the trigger so broad that it activates every single time. Now, you can pause here if you do want to copy
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the full repair prompt shown on your screen. And for our example, I'm going to tell Claw that doc publication auditor failed when I use the request improve the readability and formatting of this setup guide. And then I'm going
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to ask it to find the gap in the description and expand the trigger wording. Now, Claude checks the installed skill and gives me a few ways to fix it. I'm going to choose the option here to broaden the trigger so
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that the auditor can recognize more casual requests that still clearly relate to reviewing technical documentation. And then from there, let's go ahead and open up edit history to see exactly what changed. Claude has expanded the description to recognize
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phrases such as clean this up, does this read well, polish this dock, make this better, and improve the readability or formatting. Now those requests don't sound like formal compliance audits but they are close enough to the same task
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that we want the skill to catch them. So after reviewing the changes here let's click update skill and overwrite the existing version. Now the important thing to understand is why changing the description fixes the problem. Claude uses progressive disclosure. So during
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the first routing step, it's mainly looking at the front matter description to decide whether the skill is relevant.
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The detailed rules inside the skill only come into play after that match happens. If the description doesn't catch the request, Claude never reaches those instructions at all. So now we can test the fix properly. Let's open up another
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new chat here and then use the exact same request that failed the first time.
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improve the readability and formatting of this setup guide. And then I'm going to paste in the same Edge Node V3 document again. And this time the result is different before we even look at the response itself. The loaded doc
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publication auditor scale banner actually now appears at the top here, which confirms the updated description recognizes the casual wording. Claude also stops treating the task like a normal rewrite of follows the auditor skill and returns the strict two-section
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review under identified non-compliant elements and required revisions. So the missing safety warnings, the vague navigation actions and API parameters without data types, those are now are all caught just like they were in our original test. and that confirms the
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problem was the trigger description, not the rules inside of the skill. So, a good habit from here on out is to test every new skill immediately after you save it. So, try a few realistic ways that you might naturally ask for the
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task instead of assuming the first description will catch everything. If the skill does not load, then check the description, expand the relevant trigger language, update it, and then run the same test again. And that's really the full repair cycle here. Make a realistic
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request, see whether the skill loads, then sharpen the description if it doesn't fit, and then retest the exact same request until the skill activates correctly. All right, so that is it for this one. I want to thank you for
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watching and investing your time with me today. I'll see you at the next
Topics:Claude SkillsClaude AIprompt engineeringYAML front mattermeta promptAI productivityClaude Codeworkflow automationcustom instructionsAI tutorial
