Hire an AI learning gap practice planner

Everything it can hand back

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

• A diagnosis of the real sticking point, with evidence from their work
• Hints that reveal one step at a time
• A task ladder from where they can succeed up to the hard problem
• A study plan with short sessions and a review in 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: A student has had three explanations and still cannot do it.

• Diagnosis. The real sticking point, the earlier step the learner is missing, and quotes from their own attempts as proof.
• Hints. Hints in order, each showing one step, so the learner does the work and the answer is never given.
• Task ladder. Tasks from what the learner can do now up to the hard problem, each with a sign of success.
• Study plan. Short sessions, each with a goal from the ladder, a review question and a fix if it fails.
• Hand-back summary. Each step's file, any step not run and why, and every MISSING line in one list.

How the work is checked

• Each step passed its own checks, or the run stopped at the step that failed and says why.
• The steps ran in order, and each one used the result of the one before.
• Nothing was invented to fill a gap. Every gap is a MISSING: line.
• Nothing was sent, published or paid for without a clear yes.
• 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

• Diagnose the sticking point. Finds where the learner's thinking breaks, with evidence from their attempts, and the earlier step they are missing.
• Write one-step hints. Writes hints that reveal one step at a time without giving the answer.
• Build the task ladder. Builds a ladder of tasks from what the learner can do up to the hard problem.
• Plan the sessions. Plans short sessions with a goal from the ladder and a review in 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 get-a-stuck-learner-moving-again 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/get-a-stuck-learner-moving-again/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 learner's attempts, as they wrote them
• What the task asks and where they say they get stuck
• What the learner already can do
• How much time they have to practise each week

Helpful context (optional)

• Past work from the same learner
• The rubric or standard the task is marked against
• What the learner says about where they get stuck

Tools and access

• Any good chat AI: Every step is a plan or a piece of writing.
• Paper or a shared document: The learner works the ladder where you can both see it.

Functions and deliverables

• Learning gap practice planner: Use actual attempts to find a learning gap, write one-step hints and build practice that leads towards the hard task.
  • A diagnosis of the real sticking point, with evidence from their work
  • Hints that reveal one step at a time
  • A task ladder from where they can succeed up to the hard problem
  • A study plan with short sessions and a review in each
• Learning gap diagnosis coach: When you are stuck or wrong, work out why first. Then get help aimed at the real gap.
  • A short diagnosis step before any help
  • The likely gap behind your error
  • A hint matched to that gap
  • A summary of the error type, how well you diagnosed it, and a self-check question
  Source: Gareth Manning.
• Step-by-step hint writer: Turn problem types and common errors into hints, rules for showing them, and final answers.
  • A hint sequence from light nudge to strong help
  • Each hint tied to one sticking point
  • A plan for what happens after the last hint
  • Notes on when to show each hint
  • A version matched to your students' level
  Source: Gareth Manning.
• Student confidence task planner: Give it a skill students avoid. Get small mastery steps and a clear next task as confidence grows.
  • A step-by-step ladder of tasks
  • Wording for feedback that builds belief
  • Ways to show peer success
  • Signs to watch for progress
  Source: Gareth Manning.
• Study session planner and reviewer: Give it a topic, goal and study time. Get a start goal, a midpoint method check and an end review.
  • A clear goal for the session
  • A mid-session method check
  • An end-of-session reflection
  • A note on what to do next time
  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

• A student has had three explanations and still cannot do it.
• A new team member keeps failing the same kind of task.
• You are tutoring and want to stop giving away the answer.

Limits to check before starting

• The learner lacks the basic skill the task builds on: teach that skill first, then come back.
• Several learners share the same gap: use the Lesson and recall quiz planner workflow.
• You want a plan for mixed practice across many topics: use the Mixed practice unit planner.

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 holds HANDOFF.md plus one skill file for each step.
• Give the folder to Claude (in Claude Code, or as files in a Claude Project) and say "Follow HANDOFF.md".
• Paste the learner's attempts and the task. It diagnoses the sticking point.
• Use the hints one at a time in your next session. Stop as soon as the learner moves.
• Give them the task ladder and the study plan. Check the reviews each week.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/get-a-stuck-learner-moving-again 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.