Shadowing Practice: Spec Driven Workflow with Claude Code #1 - Making a /spec Command - Learn English Speaking with Video
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All right then gang, so I just recently released a new Claude Code masterclass on netninja.dev
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which is a deep dive into Claude Code and how I use it within my own projects.
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And I wanted to upload a small preview of that course here on YouTube.
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So I decided to release a small chapter of it all about setting up
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and using a custom spec-driven workflow because I think this small chapter sits well on its own.
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And I also think it's a good way of working with any agentic coding tools, not just Claude Code.
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And I wanted to share it.
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So if you do like this small free chapter
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and you want to learn more about the process and dive much deeper into Claude Code and Agentec workflows, then definitely grab the full masterclass from the netninja.dev website.
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It's $15, but you can still get it half price using the promo code ClaudeNinja at the checkout.
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So I'll leave this link down below the video and now I'll just cut straight into the content.
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All right then, my friends, welcome to a brand new chapter
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and in this one I'm going to share with you one of the workflows I like to use
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when I'm working with Cloud Code in a project and
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that is a spec driven development workflow whereby we create a
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high level non-technical specification for any new feature then we create a detailed technical development plan based on
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that spec and then finally we use that plan to implement the feature
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and by using a workflow like this I find it keeps the model more focused on the task
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and makes any guesswork or incorrect assumptions about any features it's working on to a minimum.
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Now the inspiration for this kind of spec first workflow came from a tool by GitHub called SpecKit
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which goes heavy on the philosophy of having a high level spec at the heart of AI driven development.
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But personally as a developer who likes to be very hands-on
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and stay firmly within the development loop myself I think
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that SpecKit makes me feel a little bit too detached from the whole process of adding new features.
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So I've stripped that process back and I've come up with my own lightweight and much simpler approach, which makes it easier for me to add my own input and manage the process.
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And therefore it hands a lot of that agency back to me, the developer.
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So throughout this chapter then, we'll be putting everything together to implement this spec driven workflow.
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To begin with, we'll make a new custom slash command to help us automate the process of generating high level
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and non-technical specs for new features.
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After that, we'll be using Claude Codes built in planning mode to make detailed technical plans for implementing those specs.
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And then finally, we'll be using Claude Codes extending thinking mode along with the Opus model to implement those plans.
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And they're the three core steps involved in this workflow
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that we're going to be focusing on in this chapter spec
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out a new feature plan the feature then implement the plan
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now you could also add a review step at the end
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of this cycle to review the code once the feature has been implemented
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but that's something we're going to look at in a later chapter
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and we'll just focus on the first three steps for now
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i'll also be integrating git into the workflow as well so
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that every time we start a new specification
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or feature cloud code switches us to a new branch and
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that way if things do go south we can just delete the branch
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and our main code base remains untouched again i would strongly advise using git
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and github if you ever use ai to touch your code
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because without it things can get really messy really quickly believe me now
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if you're new to version control
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and you do want to learn about it then i've got a big git
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and github masterclass course that you can check out and i will leave a link to that below the video.
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Anyway, let's crack on with this workflow by first of all, creating a new custom slash command to generate specs.
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All right, so now we know about the general process of this spec-driven workflow, let's start off by making a new spec command.
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And this spec command is going to do a few things for us.
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First, it's going to generate a feature name
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and a branch name based on the input or arguments that we provide to the command.
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Second, it's going to switch to a new branch with the name it comes up with
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and then it's going to make a high level feature specification based on our import
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and write that spec to a file inside a specs folder
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and this specification like I mentioned before is going to be
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a high level one meaning it shouldn't go into too much
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detail about how the feature should be implemented from a technical viewpoint
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but rather focus on the bigger picture and how the feature should behave from a user's perspective I guess, including any edge cases and wider implications.
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So then let's make this new spec command by opening the commands folder in the .cloud directory
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and then making a new file called spec.md, which means to run the command later, we're going to type out forward slash spec.
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Okay, so now we can start to flesh out this file.
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And the first thing I want to do, like in all the other commands we've made, is make some front matter for the command description and allowed tools at the top,
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and also to add an argument hint as well.
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So then let's start with the three dashes to go either side of this front matter section.
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And then inside those dashes, I'm just going to paste in three different keys and values.
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The description, which says create a feature spec file and branch from a short idea.
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An argument hint, which is the short feature description, and the allowed tools, which are read, write, glob, and bash to switch to a new branch.
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So that's the front matter sorted.
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And now we just need to write out the actual command itself.
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And rather than me type all of this out from scratch, I'm just going to paste this in and walk through it all with you step by step.
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And by the way, like I mentioned before, you can get this entire command yourself from the GitHub repo for the course files.
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All you need to do is select the Claude Snippets branch from the drop down up here, then go into the commands folder where you're going to see this spec command plus any other command
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that we make as well.
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So if you click on that command, you're going to see all the content for that file, which you can just copy and paste into your own file.
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So then let me just paste all of this in
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and then we'll walk through it slowly it first of all then we have this summary at the top
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which tells the model it's going to be making a new
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feature spec for the application using the user input below
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which we say down here is from the arguments so
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when we run the spec command later we'll be adding a sentence
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or two about the new feature we want to spec
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so the model can use
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that input we also tell the model to respect anything inside
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the clawed md file next down here we go into a
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little bit more detail outlining the steps the model needs to take using
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that user input starting with creating a feature title in kebab
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case then making a safe branch name for the feature
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and finally writing a detail markdown spec in the specs directory
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which we don't have yet but we will make shortly below
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that outline we go into each step in more detail starting with the step one
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which is to check the current branch for uncommitted or unstaged changes
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if we have any of those we tell the model to abort the whole process
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and instruct the user to either stash or commit the changes first.
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After that, we tell the model to parse the input arguments to extract or come up with the following values.
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A feature title, a feature slug which follows the below criteria, like lowercase letters, kebab case, only letters and numbers, replace spaces with dashes, and so on.
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Then finally, a safe Git branch name with the following format, claude forward slash feature forward slash then whatever the slug value is.
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And we give an example of that down below.
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So then once the model has extracted those values, the next step down here is for Claude code to switch
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us to the new feature branch using the branch name the model just came up with.
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After that, we asked the model to create the actual spec markdown file
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and save it in the specs folder using the feature slug it just came up with.
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We also mentioned here that we'll be using plan mode later to plan the spec
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and we're going to talk about plan mode later in this chapter
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but as well as
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that we tell the model to use the same structure for
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the spec file as the spec template file right here using the at symbol to manually add that template file as context.
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Now we don't have that template file created yet but again we will make it shortly.
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We also tell the model not to add any technical implementation details such as code examples
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because that's what the planning step is for later.
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Finally, once that spec's been created, we ask the model to respond with a short summary of what it's done,
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including the branch name, the spec file location, and the feature title.
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So that is the spec band done now.
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We're going to be using this in the next lesson to spec out a new feature, but for now, all we need to do is create that underscore specs folder,
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which is going to create all the new spec files in
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and we also need to create the template file
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because it's going to use that file to create those specs right
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so let's cross this off
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and then we'll create a new folder in the root directory called underscore specs
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and the only reason i'm using an underscore right here is
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so that this folder sits at the top of the tree there's no deeper meaning than
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that but inside that now we're going to create a new file called template.md
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and i'm just going to paste in this template it's very very simple
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but i'll go through it so we have the feature name at the top
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then the branch name it chooses and then down here we say figma component
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if used now don't worry about this too much for now later in the course we'll be using figma
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and we're going to integrate that into the spec command
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so we'll come back to
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that later for now we're not using figma anyway we have these different sections
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that we want cloud code to fill in
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when it's creating this spec file so we have a summary of the spec
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or feature any functional requirements the figma design reference only have referenced again.
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Don't worry about that too much for now.
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We'll come back to it later.
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And then down here, any possible edge cases, the acceptance criteria, open questions.
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So if it has any questions it wants to ask us, put them there and then we can go in and answer those questions.
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And then any testing guidelines at the bottom.
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And I've also said here, create a test file in the test folder for any new feature
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and create meaningful tests for the following cases without going too heavy.
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So obviously I don't know the test cases.
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That's for Claude Co to decide when we're speccing out the new feature.
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All right, so now we have the new command, this spec command, and we have this template so that when it's creating specs, it uses this template.
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In the next lesson, let's create a new spec for a brand new feature.
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Bu dersin kelimeleri ve konuşma notları
Bu C1 seviyesindeki konuşma dersi “Spec Driven Workflow with Claude Code - Making a /spec Command” videosuna dayanıyor. En çok tekrarlanan kelimeler: spec, feature, command, file, code. Bu videoda gölgeleme çalışması için 144 cümle ve 2093 kelime var. Konuşma bölümü 10:05 sürüyor. Konuşmacı hızlı konuşuyor, dakikada yaklaşık 208 kelime; bu yüzden birbirine bağlanan ve zayıflayan sesler duyacaksınız. Kelimelerin %83’i İngilizcede en sık kullanılan 3.000 kelime arasında; geri kalanına başlamadan önce bakmakta fayda var.
Bu videodaki önemli kelimeler
Videodaki en ileri düzey 15 kelime, telaffuzu ve anlamıyla:
| Kelime | Telaffuz | Anlam |
|---|---|---|
| workflow isim | /ˈwɝkfloʊ/ | iş akışı |
| spectacles isim | /ˈspɛktəkl̩z/ | gözlük |
| template isim | /ˈtɛm.plɪt/ | şablon, kalıp |
| folder isim | /ˈfoʊldɚ/ | klasör |
| pasta isim | /ˈpɑ.stə/ | makarna |
| specification isim | şartname | |
| slug isim | /slʌɡ/ | sümüklü böcek |
| underscore isim | /ˈʌn.dɚˌskoɹ/ | alt çizgi, alt tire |
| directory isim | /dɪˈɹɛktəɹi/ | dizin, klasör |
| dash isim | /ˈdæʃ/ | çizgi |
| criterion isim | /kɹaɪˈtɪɹ.i.ən/ | ölçüt, kriter |
| kebab isim | /kəˈbɑb/ | kebap |
| extract isim | /ˈɛkstɹækt/ | ekstre |
| hint isim | /hɪnt/ | ipucu |
| stash isim | /stæʃ/ | gizli depo |
Duyacağınız deyimsel fiiller
| Kelime | Anlam |
|---|---|
| check out fiil | gözden geçirmek |
Bu videodaki dil bilgisi
Konuşmacının en çok kullandığı yapılar, videodaki sözcüklerin aynısıyla:
| Yapı | Videoda |
|---|---|
| Present perfect have/has + fiilin üçüncü hâli — geçmişte olan ama şimdi de önemli olan bir eylem | I've stripped · has been implemented · we've made |
| Edilgen yapı be + fiilin üçüncü hâli — kimin yaptığı değil, ne olduğu önemli | has been implemented · should be implemented · are read |
| İlgi cümlecikleri who / which + cümle — bir kişi ya da şey hakkında ek bilgi | approach, which makes · hint, which is |
Dikkat edilecek telaffuzlar
Konuşmacı we'll, we're, I'm gibi kısaltılmış biçimleri 46 kez kullanıyor. Bunları duyduğunuz gibi kısa söyleyin.
- “sh” ve “zh” sesleri: speculation /ˌspɛk.jəˈleɪ.ʃən/, dash /ˈdæʃ/, stash /stæʃ/, implication /ˌɪmpləˈkeɪʃən/, bash /bæʃ/
- Uzun kelimeler — vurguyu doğru yere koyun: speculation /ˌspɛk.jəˈleɪ.ʃən/, directory /dɪˈɹɛktəɹi/, criterion /kɹaɪˈtɪɹ.i.ən/, implication /ˌɪmpləˈkeɪʃən/, manually /ˈmænj(u)əliː/
Türkçe konuşanların zorlandığı sesler:
- /w/ — dudaklar yuvarlak, /v/ değil: workflow /ˈwɝkfloʊ/, whereby /wɛə(ɹ)ˈbaɪ/, lightweight /ˈlaɪt.weɪt/
- Kelime başındaki ünsüz kümesi — araya ünlü eklemeyin: speculation /ˌspɛk.jəˈleɪ.ʃən/, spectacles /ˈspɛktəkl̩z/, slug /slʌɡ/, criterion /kɹaɪˈtɪɹ.i.ən/, stash /stæʃ/
- /æ/ — “e”den daha açık: dash /ˈdæʃ/, extract /ˈɛkstɹækt/, detach /dɪˈtæt͡ʃ/, stash /stæʃ/, manually /ˈmænj(u)əliː/
Bu videoyla nasıl çalışılır
- Videonun tamamını konuşmadan bir kez dinleyin ve bilmediğiniz kelimeleri not edin.
- 0,75× hızla başlayın, cümle cümle tekrar edin ve kolaylaşınca normal hıza dönün.
- Kendinizi kaydedin ve orijinaliyle karşılaştırın; workflow, spectacles, template gibi kelimelere özellikle dikkat edin.
Gölgeleme Tekniği Nedir?
Gölgeleme, başlangıçta profesyonel tercüman eğitimi için geliştirilen ve çok dilli Dr. Alexander Arguelles tarafından popüler hale getirilen, bilim destekli bir dil öğrenme tekniğidir. Yöntem basit ama güçlüdür: ana dili İngilizce olan bir sesi dinler ve hemen yüksek sesle tekrar edersiniz — konuşmacıyı 1-2 saniye gecikmeyle takip eden bir gölge gibi. Pasif dinleme veya dilbilgisi alıştırmalarının aksine, gölgeleme beyninizi ve ağız kaslarınızı gerçek konuşma kalıplarını eşzamanlı olarak işlemeye ve yeniden üretmeye zorlar. Araştırmalar, telaffuz doğruluğu, tonlama, ritim, bağlı konuşma, dinleme anlama ve konuşma akıcılığını önemli ölçüde geliştirdiğini göstermektedir — bu da onu IELTS Konuşma hazırlığı ve gerçek dünya İngilizce iletişimi için en etkili yöntemlerden biri yapar.