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    Coding Teacher: Learn to Code Instead of Copying AI Answers

    4

    Stops your AI from fixing your code for you. It asks five questions about the bug, gives one hint at a time, sets a daily exercise at your level and keeps a learning log. Persona, 6 skills, 4 language packs.

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    10 uses5.0 (1 review)
    Coding Teacher: Learn to Code Instead of Copying AI Answers

    Coding Teacher: Learn to Code Instead of Copying AI Answers

    Example session with this skill installed

    My Python loop prints None after every line and I don't know why. Here is the code:

    def show(name, score):
        print(f"{name}: {score}")
    

    scores = {"Alice": 90, "Bob": 72}

    for name, score in scores.items():
        print(show(name, score))
    
    • Read your context and instructions
    • Compiled the coding teacher

    Summary

    Real test run of the persona and debug-interview skills: five questions about the bug, then one hint. No fix was handed over. Qwen2.5-Coder 7B on Ollama, seed 42. Teacher replies are unedited, learner lines are test inputs.

    The session

    Teacher: What did you expect this loop to do?

    Learner: I expected it to print each name with its score, one per line.

    Teacher: What happened instead? Read the error message aloud.

    Learner: It prints Alice: 90, then None, then Bob: 72, then None.

    Teacher: What did you change last?

    Learner: I moved the printing into a function called show() so I could reuse it.

    Teacher: What have you ruled out?

    Learner: The dictionary is fine, I printed scores on its own and it looked right.

    Teacher: What would you try next?

    Learner: Maybe I should print what show() gives back?

    Teacher: Good plan, run it. Hint rung 1: what does the print statement inside show() do?

    What happened next

    In the test the learner ran print(type(show('A', 1))), saw NoneType, removed the outer print and the loop worked. When the session ends, progress-log writes a dated entry to learning-log.md so the next session starts from this lesson.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Ask an AI about a bug and it usually rewrites your file. The code runs, you learned nothing, and the next bug stops you again.

    Coding Teacher turns your agent into a teacher that works from your own code. It asks before it tells, gives one hint at a time and keeps a log, so tomorrow's session starts where today's stopped.

    Same bug, with and without

    We sent the same Python bug report to the same model twice: Qwen2.5-Coder 7B on Ollama, seed 42, replies unedited.

    • Without the skill: it explained the cause and handed over the fixed code.
    • With Coding Teacher: it replied "What did you expect this loop to do?", then asked the other four interview questions one at a time. The first hint came only after the learner suggested a next step.

    The first two screenshots show both replies and the whole interview.

    What changes when it is installed

    • When you hit a bug: five fixed questions (expected, happened, changed last, ruled out, next try), then hints in small steps. Never the full fix first.
    • When you don't know what to learn next: a concept ladder tied to a project you are building, starting with a real error from your language.
    • Every day: one exercise at your level, picked from your learning log, with test cases and three hints.
    • When your code runs but feels messy: a review that finds two or three lessons in your own lines. You do the rewrite.
    • Between sessions: a dated entry in learning-log.md that the next session reads.

    What is inside (version 1.1)

    • persona: the teacher's voice and rules. Load it first.
    • concept-ladder: orders what to learn next and opens with a real error from your language.
    • exercise-a-day: one small exercise a day, chosen from your learning log.
    • exercise-generator: more practice on one concept, with checks to run.
    • learner-code-reviewer: teaches from code that already runs.
    • debug-interview: five fixed questions before any hint about a bug.
    • progress-log: writes the dated learning-log.md entry when a session ends.
    • language-packs: Python, JavaScript, TypeScript and Java, ten common beginner errors each.

    Who it is for

    • Beginners who keep pasting fixes they don't understand.
    • Self-taught developers stuck between tutorials and their own projects.
    • Tutors, mentors and parents who want the AI to coach, not answer.

    Changelog

    • 1.1 (8 Nov 2026): added debug-interview, progress-log and the four language packs.
    • 1.0 (14 Aug 2026): persona, concept-ladder, exercise-a-day, exercise-generator, learner-code-reviewer.

    Limits

    • It is instructions for your agent, not an app: no scripts, starter projects or video lessons.
    • It won't do graded coursework, take-home tests or interview tasks for you.
    • How closely it follows the steps depends on your agent and model. In our tests a 7B coding model followed the interview exactly. An 8B general model gave a hint early.
    • You still type the code yourself. That is the point.

    Support: first response within 24 hours, confirmed defects fixed within 30 days.

    Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for Education & Learning.

    Instructions for your agent, not an app: no scripts, starter projects or video lessons. Won't do graded coursework, take-home tests or interview tasks. How closely it follows the steps depends on your agent and model. You still type the code yourself.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before buying a skill.

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    This skill has been used 10 times.

    Trust & safety

    Security scan

    Security scan passed 7 days ago

    Permissions

    Read Files
    Write Files
    Listed3 months ago
    Updated5 days ago

    What's inside

    Frequently Asked Questions

    Version 1.1 has the persona plus 6 skills: concept-ladder, exercise-a-day, exercise-generator, learner-code-reviewer, debug-interview and progress-log. It also has four reference files of common beginner errors (Python, JavaScript, TypeScript and Java). Everything is plain SKILL.md and Markdown that works with any agent that reads skills. There are no scripts or templates.

    It changes the order of the conversation. For a bug it asks five fixed questions (expected, happened, changed last, ruled out, next try) before any hint, then gives hints in small steps. The first two screenshots show a real test: without the skill the model handed over the fixed code, with it the model asked the five questions and gave one hint.

    Any language you can paste code and error messages from. Version 1.1 adds reference packs of the ten most common beginner errors for Python, JavaScript, TypeScript and Java, so the first session can start from a real error in your language.

    No. Install it through Agensi or copy the folders into your agent's skills directory, load the persona first, then paste your code or error message to start.

    Yes. Buyers get new versions of this bundle through Agensi. Version 1.1 added debug-interview, progress-log and the four language packs.

    No. It is a learning tool for your own projects. It will not hand over solutions for graded coursework, take-home tests or live technical interviews.

    Yes, through a file. progress-log writes a dated entry to learning-log.md in your project when a session ends, and exercise-a-day and concept-ladder read it next time.

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