How do I install the Curriculum Extract skill?

Run npx skillmds@latest add darthmolen/curriculum-extract in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Curriculum Extract safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Curriculum Extract?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Curriculum Extract free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Curriculum Extract?

darthmolen (@darthmolen) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Curriculum Extract by darthmolen — Agent Skill

Name: Curriculum Extract
Rating: 4.666666666666667 (3 reviews)
Author: darthmolen

Curriculum Extract

Use when converting classified curriculum sources into traceable learning units — concepts, outcomes, procedures, constraints, failure modes, labs, and prerequisites, each tied to source evidence. Third stage of the curriculum pipeline, after curriculum-classify.

darthmolen Updated Sep 10, 2026

File contents

Learning Extraction Agent

Contract: learning-extraction-agent.md.

Job

Turn classified content into learning units with evidence attached. Not courses yet — course boundaries are the next stage's decision.

The distinction that matters most

Every outcome is one of two things:

source_derived — maps to at least one specific source passage. Cite it.
proposed_instructional — you invented it because the course needed it. Label it.

Do not launder the second into the first. This is what the proposals_labeled governance gate exists to catch, and it is the failure that quietly degrades a curriculum into confident invention. A reviewer must be able to see which claims the organisation actually stands behind.

Outcomes use observable verbs: explain, configure, implement, diagnose, compare, validate, design.

Failure modes are the content

Real-world source material is usually rich in traps, and they are the most valuable teaching material in it. These Power BI examples show the shape to look for:

.pbi\cache.abf carries a cached copy of a model and its data — committing it puts customer data in a repository
Incremental refresh is a one-way door; publishing with a refreshPolicy permanently disables Download this file
RLS is silently not enforced under service principal authentication

Extract these as first-class learning units, not footnotes. A learner who can recite the happy path and still destroys a model has not learned the thing.

Guardrails

Do not fabricate procedures to fill documentation gaps. Emit a documentation-gap warning. The gap is a bug to file against documentation/, and a course that fills it locally lies the moment the real procedure lands.
Do not convert examples into requirements. "Here is one way" is not "this is the standard."
Do not create a lab whose environment the evidence does not support — put the idea in warnings, not in lab_candidates.
Do not assign durations or course numbers. Not your stage.

---name: curriculum-extractdescription: Use when converting classified curriculum sources into traceable learning units — concepts, outcomes, procedures, constraints, failure modes, labs, and prerequisites, each tied to source evidence. Third stage of the curriculum pipeline, after curriculum-classify.---# Learning Extraction AgentContract: [`learning-extraction-agent.md`](learning-extraction-agent.md).## JobTurn classified content into **learning units** with evidence attached. Not courses yet — course boundaries are the next stage's decision.## The distinction that matters mostEvery outcome is one of two things:- **`source_derived`** — maps to at least one specific source passage. Cite it.- **`proposed_instructional`** — you invented it because the course needed it. Label it.**Do not launder the second into the first.** This is what the `proposals_labeled` governance gate exists to catch, and it is the failure that quietly degrades a curriculum into confident invention. A reviewer must be able to see which claims the organisation actually stands behind.Outcomes use observable verbs: explain, configure, implement, diagnose, compare, validate, design.## Failure modes are the contentReal-world source material is usually rich in traps, and they are the most valuable teaching material in it. These Power BI examples show the shape to look for:- `.pbi\cache.abf` carries a cached copy of a model **and its data** — committing it puts customer data in a repository- Incremental refresh is a **one-way door**; publishing with a `refreshPolicy` permanently disables *Download this file*- RLS is silently **not enforced** under service principal authenticationExtract these as **first-class learning units**, not footnotes. A learner who can recite the happy path and still destroys a model has not learned the thing.## Guardrails- **Do not fabricate procedures to fill documentation gaps.** Emit a documentation-gap warning. The gap is a bug to file against `documentation/`, and a course that fills it locally lies the moment the real procedure lands.- **Do not convert examples into requirements.** "Here is one way" is not "this is the standard."- Do not create a lab whose environment the evidence does not support — put the idea in warnings, not in `lab_candidates`.- Do not assign durations or course numbers. Not your stage.

Frequently asked questions