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Prompt Packs & Templates All levels Bestseller

The 60-Prompt Starter Pack for Everyday Coding

Sixty copy-paste prompts for the small coding tasks that fill an ordinary working day.

Rated 3.9 out of 5 from 7 reviews 68 students

LM Created by Laura Mbeki

  • Last updated August 2026
  • English
  • 30m of material
  • 4 lessons

What you will learn

6 concrete outcomes

Every bullet below is something you will have built, shipped or be able to explain by the time you finish the last lesson.

  • Paste-ready prompts for explaining, renaming and safely refactoring unfamiliar code
  • A repeatable way to turn a stack trace into a ranked list of likely causes
  • Commit message and pull request prompts that reviewers actually read
  • How to attach a diff or file so the model stops inventing missing context
  • Follow-up questions that push a vague answer into something concrete
  • A simple naming scheme for your own prompt files so the collection keeps growing

Course curriculum

4 modules · 4 lessons · 30m of material

1 lesson running 6m in total. Each lesson ships with the finished source files and a short written recap, so you can follow along in your own editor and skim the module again later.

Lesson-by-lesson titles, code downloads and exercises live inside the course library you get access to straight after checkout.

1 lesson running 8m in total. Each lesson ships with the finished source files and a short written recap, so you can follow along in your own editor and skim the module again later.

Lesson-by-lesson titles, code downloads and exercises live inside the course library you get access to straight after checkout.

1 lesson running 9m in total. Each lesson ships with the finished source files and a short written recap, so you can follow along in your own editor and skim the module again later.

Lesson-by-lesson titles, code downloads and exercises live inside the course library you get access to straight after checkout.

1 lesson running 7m in total. Each lesson ships with the finished source files and a short written recap, so you can follow along in your own editor and skim the module again later.

Lesson-by-lesson titles, code downloads and exercises live inside the course library you get access to straight after checkout.

4 modules · 4 lessons

30m total length

Requirements

Short list, and deliberately so. If you meet these you can start today.

  • Access to any chat model, including the free tiers of Claude or ChatGPT
  • Basic familiarity with a code editor and version control

About this course

Sixty prompts, written and tested against Claude and ChatGPT, aimed squarely at the unglamorous work that fills a developer day: explaining a function you inherited, renaming a badly named module, turning a stack trace into a short list of hypotheses, and writing the commit message you keep putting off.

What you download is a prompt library in three formats: a single annotated Markdown file, a Notion-ready import you can drop straight into a workspace, and a plain text version for tools that only accept pasted input. Each prompt carries a one-line note on what it is for, which placeholders to replace, and the follow-up question that usually gets you the rest of the way.

Four short walkthrough lessons show the prompts working on a real repository. You will see how to attach a diff so the model stops guessing at context it cannot see, how to make it say plainly when it does not know, and how to stop it inventing library functions that were never in the API.

Delivery is instant. After checkout you receive an access link by email that opens the pack in the WisdomCharms library, and every future revision lands behind that same link.

Topics covered

Frequently asked questions

Still unsure about something? Write to misteryjj100@gmail.com and a human answers, usually the same working day.

An access link by email straight after payment. Behind it sit the sixty prompts as annotated Markdown, a Notion import, a plain text copy, and the four walkthrough lessons.

Yes. Every prompt was written for mid-tier chat models and tested on free tiers. Larger models give tighter answers, but nothing in the pack depends on them.

They describe the task and its constraints rather than exploiting quirks of one model version, so they age well. Revisions are published to the same access link at no extra cost.

Checkout is handled on our provider's secure payment page. The moment your payment clears we email your personal access link and access code to the address you used at checkout, and the same link appears in your account library. There is nothing to install and nothing to wait for.

Email misteryjj100@gmail.com within 14 days of your purchase, quote your order number, and we refund the full amount to your original payment method. No form to fill in and no questions about how much of the course you watched.

What students say

Reviews are written by people who bought this course. We publish the critical ones too.

3.9

Rated 3.9 out of 5

Course rating · 7 reviews

Rating distribution

  • 5 stars 43%
  • 4 stars 29%
  • 3 stars 14%
  • 2 stars 0%
  • 1 star 14%
  • RS

    Ravi Sundaram

    Site reliability engineer

    Jun 2026
    Rated 5.0 out of 5

    the stack trace section is the good one

    the trace-to-hypothesis prompts are the ones I kept. rather than pasting a trace and hoping, you paste it alongside what you already know is true, and what comes back is testable. it has changed how I open a bug ticket.
  • KN

    Karolina Nowak

    Backend engineer

    Mar 2026
    Rated 5.0 out of 5

    The handover note prompt earns it back weekly

    I was sceptical that sixty prompts could be worth anything at all, then I used the handover one on a Friday afternoon and got back something my cover could actually follow on the Monday. Sorting the pack by task rather than by which assistant you use is the right decision.
  • HM

    Hugo Marchand

    Freelance developer

    Nov 2025
    Rated 5.0 out of 5

    Copy, paste, carry on

    Half of these I would have arrived at myself eventually. The other half I would not, particularly the framing that asks for an explanation aimed at whoever has to maintain the file next. It removes the blank-box moment, which is most of the battle.
  • AV

    Anneke de Vries

    Tech lead

    Jul 2025
    Rated 4.0 out of 5

    Useful, and then you outgrow it

    For a month this was excellent. After that I had rewritten most of them against our own codebase and stopped opening the pack at all. Arguably that is the intent, but go in knowing you are buying a starting position rather than a reference you keep for years.
  • TG

    Tobias Grün

    Apr 2025
    Rated 4.0 out of 5

    Strong index, weak review prompts

    The renaming and explaining sets are sharp. The review ones sit well below them in quality; asking a model to find problems in a diff is not a prompt so much as a hope. Everything else justified the pound easily.
  • FS

    Freya Sandberg

    Staff engineer

    Dec 2024
    Rated 3.0 out of 5

    Aimed at someone earlier than me

    If you have used an assistant daily for six months you already have most of these habits and the pack will not add to them. There is nothing on what to do when a prompt fails and you need to diagnose why, which is the part I would genuinely have paid for. Not a bad product, just not one I needed.
  • CR

    Callum Reid

    Software engineer

    Aug 2024
    Rated 1.0 out of 5

    Sixty prompts, nowhere near sixty ideas

    A lot of what is in here is one instruction with the leading verb swapped, and once you have noticed it you cannot stop noticing it. Whole sections amount to three phrasings of describe this code. I accept that it costs almost nothing, but padding a pack out to hit a round number in the title is still padding, and the index is arranged to make the coverage look wider than it is. I would rather have paid the same for twenty prompts that were actually distinct.

Your instructor

LM

Laura Mbeki

Prompt engineer and AI workflow designer

  • 506 students taught
  • 16 courses published
  • 4.3 instructor rating
  • Prompt engineering
  • Prompt libraries
  • AI workflows
  • Prompt evaluation

Laura went independent after seven years of agency work and now designs the prompt libraries that sit behind other people's products. She treats prompting as engineering: versioned prompts, a held-out evaluation set, a regression run before anything ships, and a token budget you have to hit. Her packs are the ones she uses with her own clients — briefing, rewriting, summarising, review — rather than sanitised examples, and each comes with notes on where it fails. She keeps every pack working across ChatGPT, Claude and a small open model, so the technique outlives the model.

See every course by Laura Mbeki
$1 USD

One-time payment · lifetime access

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