Hire an AI teaching unit and spaced review planner

Everything it can hand back

Your task sets the actual outputs. The specialist picks the methods that cover them.

• A unit plan worked back from the end result and the proof of learning
• The same plan with practice of related topics mixed through the lessons
• A calendar of dates to bring each topic back, with a retrieval task for each

How it does the job well

• Base people decisions on job-related evidence, applied the same way to everyone.
• Write in plain, respectful language the person affected could read.
• Keep personal data to what the task needs, and handle it privately.
• Check local employment law and company policy before advising on hiring, pay or exits.

Mistakes it avoids

• Biased wording in job ads, reviews or interview questions.
• Plans with no owner, timing or way to check progress.
• Treating a template as legal advice.

What a good result looks like

An example, not your task: You are planning a new unit or a term from standards.

• Step 1: Unit plan. The end goal, the proof of learning, lessons in order and how each lesson serves the goal.
• Step 2: Mixed practice plan. The same lessons, with where old topics return and related topics practised together.
• Step 3: Revision schedule. Each topic, the dates it returns, the gap between returns and a retrieval task for each.
• Hand-back summary. Each step's file and every MISSING line in one list.

How the work is checked

• The end goal is something students do, not something they hear about.
• Every lesson in the plan has a line saying how it leads to the proof of learning.
• Old topics return in later lessons without cutting the time for new teaching.
• Revision dates fall on days the teacher actually teaches, and they grow wider apart.
• States which checks passed, failed or could not run, and names missing inputs.

These checks have not been run against a model yet. Your AI uses them to check its own work.

Capabilities

• Plan backwards. Writes what students should be able to do at the end, decides what proof you will accept, then plans the lessons that lead to the proof.
• Mix the practice. Takes the unit plan, finds related topics that students confuse and spreads practice of earlier topics through later lessons, keeping new teaching in blocks.
• Schedule the revision. Takes the mixed plan, sets the gaps between returns to each topic, places them on the calendar and adds a short retrieval task for each.

How the role works

1. Checks your task, context and available tools.
2. Picks the methods needed and prepares a work plan.
3. Carries out supported tasks, with each method's limits and review gates.
4. Checks the real deliverables and corrects supported faults.
5. Hands back files, evidence and unresolved gaps.

Your specialist's working setup

Download the base specialist without a task form or account. README.md and SETUP.md explain how to use the folder. SOUL.md defines its scope. INTAKE.md asks missing questions inside your AI. PLAYBOOK.md, SKILLS.md, BEST_PRACTICES.md, CHECKS.md and HANDOFF.md guide the work and its checked deliverables.

Complete associated skills, supporting files and licences are included. Choose only the methods needed for the actual task. Keep context, working files and accepted feedback in your AI project.

Use this specialist through MCP or the API

Call prepare_specialist with role_id plan-a-unit-from-the-end-goal-and-schedule-the-revision only. No task is required to load it. Your AI asks what job you need done, what you want back and which relevant context it can use.

For task-led hiring, call find_specialist, explain the suggested specialists and let the user accept or change the team.

Complete ZIP: Download base specialist. API: GET /api/v1/specialists/plan-a-unit-from-the-end-goal-and-schedule-the-revision/pack. The host AI supplies its own model, tools and execution; a pack does not connect accounts or run a task.

Inputs and helpful context

The specialist starts from the task brief. Only active methods require their inputs.

For the primary method, when used

• The standards or goals for the unit
• The number of lessons and the dates, or the term length
• Your current topic order, if you have one (optional)

Functions and deliverables

• Teaching unit and spaced review planner: Share learning goals, student level and lesson dates. Get an assessment plan, lesson sequence, mixed practice and a review schedule.
  • A unit plan worked back from the end result and the proof of learning
  • The same plan with practice of related topics mixed through the lessons
  • A calendar of dates to bring each topic back, with a retrieval task for each
• Backwards unit planner: Give it your standards. Get a unit planned from the end result, then the proof of learning, then the activities.
  • Lasting understandings and key questions
  • A final assessment plan
  • A lesson-by-lesson learning plan
  • An alignment check
  Source: Gareth Manning.
• Mixed practice unit planner: Turn a blocked topic order into a mixed practice unit plan. Paste your topics, subject and length. You get a lesson plan that mixes related topics.
  • A lesson-by-lesson mixed plan
  • Where each topic is first taught
  • How mixing builds up
  • Notes explaining any change to your order
  Source: Gareth Manning.
• Revision schedule planner: List topics, available dates and lessons per week. Get a spaced review plan shaped around topic difficulty and any assessment date.
  • A week-by-week schedule
  • Review slots for each topic
  • The reasoning behind each gap
  • A final review plan before the assessment
  Source: Gareth Manning.
• me.md builder: Answer a few questions, or let your AI use what it remembers. Get one private file that tells any AI who you are.
  • One me.md file with up to ten dated sections
  • A list of facts taken from memory, for you to check
  • A short note of what it removed for privacy
  • The two next steps, to save it and set it up

Tasks you can use it for

• You are planning a new unit or a term from standards.
• Students do well at the end of a topic and forget it by the next one.
• Revision is a rush before the exam instead of something built in.

Limits to check before starting

• You need one lesson, not a whole unit: use the Direct teaching lesson builder.
• You have no standards yet and need to decide what a course covers: use the Course scope and sequence planner.
• You only want a quiz to check recall after teaching: use the Recall quiz writer.

Best way to use this role

Give it one clear outcome, the actual files and a definition of done. Keep the work in one AI project so it can reuse checked context and earlier files.

• Download the handoff pack. It is a zip with HANDOFF.md and every skill file this workflow uses.
• Give the folder to Claude (in Claude Code, or as files in a Claude Project) and say "Follow HANDOFF.md".
• Paste your standards and say how many lessons and weeks you have.
• Read the proof of learning in step one. Change it now, because the later steps are built on it.
• Check the revision dates against your real school calendar before you share them.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/plan-a-unit-from-the-end-goal-and-schedule-the-revision for its role instructions and pinned sources.

This is a prepared AI role. No task has run. Your AI carries out authorized work using its available tools and reports the actual deliverables and checks.