6 Skills pour Créer une VRAIE App avec Claude Code

You open Cloud Code, you prompt, the IA generates 300 lines, it works, but it breaks something else. And two hours later, you realize that you have solved the bad problem from the beginning. It's not a prompt problem, it's not a model problem, it's a method problem. The top 1% of builders don't code faster than you,

it frames before letting the IA write a single line. In this video, I show you the 6 skills that I use to do exactly that, understand the real need, frame a spec that is stupid, plan by testable tranches, design without the IA slope, debug scientifically and document without leaving the terminal, all that installable in 30 seconds.

Imagine that you ask an entrepreneur to build a house without a plan and without a calendar. Without a plan, he piles up the bricks without knowing what he is building, a room without a door, a staircase that does not lead anywhere, and at half-time, he realizes that there is no more room for the bathroom.

And even if by miracle he knows which house he wants, without a calendar he paints before the fire, he forgets the air conditioning and breaks to start again. The vibe coding is exactly that, the two at the same time, no destination and no order.

The IA will build quickly without complaining, but it will build exactly what you asked it, not what you needed. So the solution is not to take it better, it is to frame before generating and that's what the 6 skills that I'm going to show you in the exact order where I use them.

There are at least 8 recognized methods to structure your work with load code, from the lightest to the most complex, and I will give you a quick map to locate you. At the entry of the SPECTMA method, 3 Markdown files in a DOC directory, it is the most

lighter in the spec driven, designed for a solo non-dev or a beginner dev, it allows to build a structured project that lasts in time. In the midst of methods like GSD or OpenSpec, solid for large projects but with a real learning load and a much higher token consumption.

And at the top of complexity, the B-MAD, 12 Agile role agents, a cycle of complete and reproduced development in Cloud, powerful for teams and complex projects, but you don't need that to start. My method appears first, not because it is superior to all the others, but

because it is the most intelligent starting point. You start here, you get in charge as soon as the signals justify it and the 6 skills that I will show you now cover the complete cycle from understanding the need to the final documentation.

The first skill is called "Question" and it's the step that everyone jumps. Here's what happens without it: I did the test, I typed the following prompt: "Make me a web tool that tells a freelancer how much to bill per day to achieve his income goal." In less than 2 minutes 30 you have something on the web, purple IA, some fields and Claude who decided all by himself what you wanted: a net annual income, weeks of leave,

a TGM calculated automatically, it's fast, it's functional, and that's exactly what you didn't ask for because you hadn't decided for yourself what you wanted yet. The problem is that the IA will not necessarily undo what it has already done, it will rather pile layers of code on top of it, routines that correct routines, patches that accumulate,

and the more you advance, the more the cost of correction increases because you build on foundations that were not the good ones from the start. Now I relaunched the same prompt by activating the plan mode and by calling what it is asking. Cloud does not bother, it asked me 8 questions about the calculation model

charges, taxes, the legal regime, the billable days, the technical stack, the style, the colors. He doesn't ask you what he can deduce alone, he will look for himself in the code if there is already code. He will even look for the applicable rates in vigor for freelancers, whatever the type of activity, so that the calculations are just from the start.

And 12 minutes later, instead of 2 minutes 30, the tool is as a measure, much more sophisticated, much more options, configurations, and above all, it corresponds to what you really wanted, not to what the IA had supposed. The difference in time is real, but what you get at the end has nothing to do. I use Interroge for a simple functionality or for my requests, whatever they are, with Cloud, on a daily basis. But when I start a new project with several functionalities, an internal application,

for a client or a SaaS, I go through the project method which starts with the next skill. The second skill is called frame. And it's the moment when the attention becomes explicit. Think of an architect's plan. On this plan, there is a unique source of truth. The mason, the plumber, the electrician all work since the

same document, no different instructions depending on who you are talking to. A single plan that is faithful to everyone. 4 produces the equivalent for your code and it's called a PRD, Product Requirement Document. It's a short document, one to two pages. I like to put it in a doc repertoire that will group all of your reference documents. It says the why and the what. Why are you making this product? Why?

what he does and what he refuses to do he never says how technology is chosen later it is stable it lives much less quickly than the code and it is visible to anyone you must be able to send it to a client or a non-technical associate without having to explain anything what the skill 4 produces when it comes out is this structured prd in 8 fixed sections with numeric user stories to take up the freelance tool that we saw with the skill

What interests him would be, for example, as a freelance, I want to seize the net income that I want to gain to obtain the TGM that I have to bill to achieve it. Or, as an auto-entrepreneur, I want to be alerted to how my GDP exceeds the micro-entreprise ceiling in order to understand that another status is more suitable.

Simple and verifiable, the PRD is the destination, the final goal, what you want to build and why. The way to get there is the next skill that is in charge. The third skill is called "Planify" and that's what prevents the IA from going wrong. You have your PRD, the destination is clear. If you give it directly to the IA, it will generate everything at once, all the layers at the same time and you end up with something impossible to read, impossible to test,

and often next to the board. The Skill Planify takes this PRD and cuts it according to the principle of the tracking balls. This term comes from the book The Pragmatic Programmer, it's this book by Andrew Hunt and David Thomas. It's one of the founding books of the profession, whose first version dates back to 1999 and whose concepts remain useful today, including in the era of IA.

During the Second World War, phosphorescent bullets inserted 1/6 in the magazines left a luminous trail visible in the sky. The shooter adjusted his guns in real time, without preliminary calculations, he shot, he saw where it was going and corrected it. In code, it is the same principle.

Each section crosses all layers of the technical stack at the same time. The database, the API, the interface, the tests, it is only demonstrable from phase 1 and you correct the trajectory in real time rather than at phase 4 when it is too late. What the SkillPlanify produces when it comes out is a plan.md file in your docs directory. Each phase contains the user stories concerned, which will be delivered.

The acceptance criteria so that the IA knows if the result corresponds to your expectations and if it must be rectified. And the dependencies between the phases. The PRD says where you are going. The plan says how to get there, in what order and at what stage. The fourth skill is called design and it is the visual differentiator on the screen.

Here is what produces the majority of IA projects are the skill design: Policenter, Font Blanc and Dégradé Violet and it is known by the name of IA Slop. You recognize it immediately because you have already seen it everywhere, it is not a skill problem, it is a problem of taking. If you do not give visual direction to the IA, it will draw in the most represented patterns in its training data,

And the most represented patterns are exactly this generic slope. Skill Design changes that. It starts by doing a search of what is used in the category of your product, what makes the best, what is standard, what is saturated. And from that, it offers an entire, aesthetic,

typography, color, spacing, motion, with a justification by choice. And above all, it releases an analysis where to play the standards of your category to stay credible and where to take the risk that gives its singularity to the product to stand out.

What the Skill Design produces when it comes out is an HTML overview automatically opened in your browser, typographic specimens, complete palettes, a small screen model. You see the visual system before writing a line of interface. The anti-slope is automatically integrated, for example, inter and roboto are banned by default with alternatives justified instead.

The fifth skill is called "Investig", and it's the one that separates the scientific debug from the random debug. Here's what happens without it: a bug comes, it always happens anyway, you ask the AI to correct it, it tries something, it doesn't work, it tries something else, it starts changing the code that has nothing to do with the bug, and after 20 minutes you have a code more complex than before, with the same bug, still present but just moved elsewhere. It is exactly the emergency doctor who treats symptoms without diagnosis,

They make you feel better tonight, you come back tomorrow with the same pain elsewhere. The symptom disappears, the root cause remains. The skill investigation imposes on the AI another way of working. Four phases with validation at each stage. Locate and reproduce the bug first.

then put three hypotheses on the root cause, each with a concrete test, if it is this cause, this is what we will observe. Then add temporary targeted logs, useful during analysis and removable once the bug is resolved. And finally a minimal corrective that explains the root cause, not the symptom. And the rule of the three strikes, if the three hypotheses are wrong, we stop,

It's not a code problem, it's an architecture problem and treating it like a bug is building on cracked foundations. The sixth skill is called Illustrate and it's the system's bonus skill. It is useful at two specific times.

At the start, before even writing a code line, a clear diagram aligns the understanding with a client or a collaborator on what we are going to build. As one of my mentors says, a crowbar is better than a thousand words. No misunderstandings three weeks later. And at the end of the project, to document the architecture of what you have built and keep a clear trace of how the components are articulated.

With the Illustrator skill, you get an Excalibro diagram in the format Excalibro, PNG and SVG without leaving Cloud Code. The rule that makes these pro diagrams: an argument diagram, it does not display. The Illustrator skill integrates pre-employment patterns: pipeline, task sequence, cycle, before/after, so that each diagram tells something rather than simply listing components.

the seventh skill is called no I present this one is the installation and it is the shortest part of the video a single command I show it to you on the screen and I put the link to the repo in the description 30 seconds and the six skills are available in cloud code and in any development agent that leads the skills you trigger it by the direct command / interrogation / frame / planify etc etc or by a natural phrase frame this project debug that make me a diagram cloud understands

You now have the complete cycle, to understand with the skill question, framed with frame, planned with planned, designed with design, debugged with investigate and schematized with illust. And one command to install everything in 30 seconds. This system is the lightest entry in the spec driven systems, 3 markdown files, no imposed constraints and an option among 8 methods available on the market.

that you can revisit as soon as your project requires it. The top 1% does not code better than you, it frames better before coding. Having the right tools is only half the work. The other half is a trap that almost all builders are in and it will directly impact the quality of what Cloud Code produces for you. When your context overflows, Cloud leaves its genius zone and sinks into hallucinations, bank code and responses.

In this video, I show you why and how to monitor your context in real time like the milk on the fire and how to stay permanently in the zone where Cloud Code really performs. And for my part, I just have to tell you: See you next time!