Create learning path

SkillCommerce & finance

Build a personalized learning roadmap with milestones and practice checkpoints

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Create learning path skill

What this skill tells your AI

The instructions your AI receives, as published by barbieri/local-openfinance in .agents/skills/create-learning-path/SKILL.md and read by ahel’s review.

Contract

FieldBound contract
TriggerCreate a multi-session learning plan.
AuthorityRead-only. No file, VCS, credential, paid, published, deployed, or remote mutation.
Side effectConversation artifact only.
DoneMilestoned plan, practice, and review rubric returned.

Inputs

Required inputs from the learner:

  • Learning goal: the skill or topic to master.
  • Current level: what the learner already knows or can do.

Optional inputs; request any that are absent:

  • Session count or total time budget.
  • Session length and cadence.
  • Constraints (materials, deadlines, prior gaps).

Procedure

  1. Collect the required inputs and any optional inputs the learner supplies. Ask for missing required inputs before proceeding; do not invent them. Done when: required inputs are collected or missing ones are requested.
  2. Decompose the goal into ordered milestones, each a demonstrable capability, sequenced so no milestone depends on a later one. Done when: milestones are ordered with no forward dependencies and each is a demonstrable capability.
  3. Map milestones onto the available sessions, respecting the session count, length, and cadence. If no budget is given, propose a default and label it as proposed. Done when: every milestone is mapped to a session within the stated or proposed budget.
  4. For each milestone, define one practice exercise that produces observable evidence the milestone was reached. Done when: each milestone has one practice exercise with observable evidence.
  5. Define a review rubric for each milestone with criteria that distinguish not-yet, partial, and met, so the learner can self-assess. Done when: each milestone has a rubric with not-yet, partial, and met criteria.
  6. Return the plan, practice, and rubric as a single conversation artifact. Done when: the plan, practice exercises, and rubrics are returned as one artifact.

Failure and recovery

  • Missing required input: stop and request it; do not fabricate a goal or level.
  • Goal too broad for the stated budget: report the mismatch, propose a narrowed scope, and let the learner confirm before continuing. Do not silently widen the budget.
  • No recovery action mutates files, credentials, or remote state. A partial result is returned only as an explicit incomplete plan with the missing milestone or rubric named.

Output

Return a conversation artifact with ordered milestones mapped to sessions, one practice exercise per milestone, and a review rubric with not-yet, partial, and met criteria for each milestone.

Signals

GitHub stars
22
Forks
2
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
create-learning-path
Source
github.com/barbieri/local-openfinance