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create-learning-path

Use when asked to create a multi-session learning plan. Returns a milestoned plan, practice, and review rubric. Don't use for tasks that require source or remote-system changes.

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Files included (2)

  • SKILL.md2.8 KB
  • agents/openai.yaml129 B

SKILL.md (original)

Review the instructions the agent will receive before you install.

Create learning path

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.

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