Learning Path Planner

The Problem

When a learner wants to study Python data analysis, Rust, or K8s operations, the hard part is often not finding material. It is deciding where to start, how long each stage should take, and what counts as mastery. This skill turns a vague “how do I learn?” request into an actionable route, clarifying goals, background, available time, and the milestones needed to move from beginner to practice.

How It Works

It follows a structured process:
- Clarify the need: define the exact skill scope, such as “Python backend” rather than just “Python”, and note the intended use case.
- Split the path: organize stages like intro -> basics -> advanced -> projects -> mastery, with objectives and verification criteria for each stage.
- Suggest resource types: recommend books, docs, tutorials, and project materials, plus selection criteria, without substituting for course enrollment.
- Estimate pacing: provide average time estimates, checkpoints, and adjustment points so the plan can be revised as progress changes.

Boundaries

It is suited to learning-path planning and level assessment. It does not provide course content, training enrollment, certification exam coaching, or one-on-one tutoring. Time estimates are based on general experience, and concrete resources still need to be searched and compared by the user. If the goal is unclear, the time budget is too small, or the expectation is to rush through a skill, the skill redirects the problem to goals, fundamentals, and execution rhythm.