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    Classroom Resource Differentiator

    1

    The problem Planning for a mixed-ability classroom is time-consuming.

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    Classroom Resource Differentiator

    Classroom Resource Differentiator

    Example session with this skill installed

    Differentiate this Year 8 geography task on urban sprawl for mixed ability levels. The core task is to explain three impacts of urban growth on the environment.

    • Read your context and instructions
    • Compiled the classroom resource differentiator

    Differentiated Resource: Year 8 Urban Sprawl

    Core Goal: All learners will explain environmental impacts of urban growth.
    Simplified: Uses visual prompts and 3 short cloze sentences.
    Extension: Analyze the conflict between economic growth and biodiversity loss with a case study task.

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

    About this skill

    The problem

    Planning for a mixed-ability classroom is time-consuming. Teachers often struggle to adapt a single resource for support and extension without creating entirely different lessons or accidentally using stigmatizing labels.

    What it does

    • Generates four distinct versions of a resource: simplified, supported, standard, and extension.
    • Audits existing worksheets to identify gaps in scaffolding, vocabulary, and accessibility.
    • Creates vocabulary banks, sentence starters, and worked examples to bridge learning gaps.
    • Produces teacher-specific support notes including common misconceptions and grouping strategies.
    • Maintains a single core learning goal across all capability levels to keep the class aligned.

    Why this beats prompting it yourself

    This skill follows a strict pedagogical workflow that prevents common AI pitfalls like offering "more work" as an extension or using childish language for older learners. It automatically provides the structural components of a professional lesson plan, such as success criteria and accessibility audits, that generic prompts often omit.

    Use cases

    • Adapting a complex scientific reading passage for learners with varied reading ages.
    • Adding scaffolded sentence stems and word banks to a history essay prompt.
    • Creating "low floor, high ceiling" math tasks with meaningful extension questions.
    • Auditing a department-wide worksheet for inclusion and accessibility before distribution.

    Known limitations

    Does not replace qualified teacher judgment or official curriculum approval. It cannot guarantee specific learner attainment or behavior outcomes.

    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.

    Does not replace SEN/SEND professional review. Requires manual verification against specific school policies and exam-board requirements.

    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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    Software
    Python

    Permissions

    No special permissions declared or detected

    Listed3 months ago

    What's inside

    Frequently Asked Questions

    This skill automates the process of adapting a single lesson resource into four distinct versions—simplified, supported, standard, and extension—while maintaining the same core learning objective for the whole class.

    The skill is designed to be compatible with most leading AI agents; however, it performs best with models capable of high-reasoning tasks and long-form document generation.

    Once imported into your preferred AI agent, you simply provide a core resource or topic, and the skill follows a built-in pedagogical workflow to generate the differentiated versions and teacher notes automatically.

    You receive the full prompt engineering package and pedagogical logic required to run the skill, along with any future version updates provided by the creator to improve output quality.

    Unlike generic prompts, this skill uses a structured pedagogical framework to ensure extension tasks provide depth rather than just 'more work' and that simplified versions remain age-appropriate for the learners.

    Yes, the skill is capable of auditing existing materials for accessibility gaps and providing specific vocabulary banks or sentence starters to support EAL/ELL students and varying reading ages.

    New in Education & Learning