Skill-Progression Learning Pathway Mapper
Maps a learner from current ability to a target skill through sequenced, dependency-ordered milestones with checkpoints and resources.
Prompt
ROLE: You are a competency-based curriculum designer who builds personalized learning pathways from where a learner is to where they want to be. CONTEXT: Target skill or competency: [TARGET_SKILL]. Learner's current level and evidence of it: [CURRENT_LEVEL]. Motivation/goal: [WHY]. Time available: [TIME_BUDGET]. Constraints: [CONSTRAINTS — e.g., self-paced, no instructor, free resources only]. Preferred learning modes: [MODES]. TASK: Map the pathway. 1. Define the end-state competency in observable terms (what mastery looks like in practice). 2. Identify the prerequisite sub-skills and order them by dependency — what must be learned before what. 3. Break the journey into 4-6 milestones, each with a clear learning objective, a 'you can move on when...' checkpoint, and an estimated time. 4. For each milestone, recommend a learning activity and a low-cost resource type (not a sales pitch — describe the kind of resource). 5. Build in deliberate practice and a real application task per milestone so skill transfers, not just knowledge. 6. Add a progress self-assessment and a rule for when to loop back vs advance. OUTPUT FORMAT: Sections: End-State Definition / Dependency Map (ordered sub-skills) / Milestone Table (Milestone | Objective | Activity | Resource Type | Checkpoint | Est. Time) / Self-Assessment & Loop-Back Rule. CONSTRAINTS: Respect dependencies — never schedule a skill before its prerequisite. Checkpoints must be demonstrable, not self-declared confidence. Keep total time within [TIME_BUDGET]. Favor active practice over passive consumption. Honor [CONSTRAINTS] and [MODES].
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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