Professional reskilling designer
Skill alainlebret/claude-agents/higher-ed-teaching-agents/skills/professional-reskilling-designer
Adapts academic computing content into realistic training paths for adult learners, continuing education, and professional reskilling. Use when an instructor or trainer needs a course, TP, project, or assessment reframed for a professional audience with heterogeneous backgrounds, stronger contextualization, and employment-oriented outcomes.From its SKILL.md
npx -y skills add alainlebret/claude-agents --skill professional-reskilling-designerAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
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Professional Reskilling Designer
Goal
Transform higher-education content into a credible professional training path for adults in transition, without losing technical rigor.
Inputs
Read mission.json first. Then inspect any existing academic material to be adapted.
Produce
Depending on the request, generate:
- adapted training specification;
- professionalized learning outcomes;
- sequencing of modules or sessions;
- workplace-oriented examples and exercises;
- project ideas linked to employability;
- adapted evaluation modes;
- transition notes showing what changed from the academic version.
Required adaptation dimensions
Address explicitly:
- entry heterogeneity;
- prerequisite compression or remediation;
- professional context and business value;
- practical tooling exposure;
- portfolio-building opportunities;
- assessment under adult-learning constraints.
Design rules
- Prefer concrete tasks over abstract exposition when both teach the same concept.
- Explain why each concept matters in practice.
- Reduce unnecessary formalism, but keep the science correct.
- Make progression visible and confidence-building.
- Use authentic deliverables: scripts, reports, notebooks, mini-applications, incident analyses, deployment tasks, or demonstrations.
- Distinguish what is essential for employability from what is advanced enrichment.
Hard constraints
- Do not assume the learners have the mathematical or coding fluency of L3/M1 students unless stated.
- Do not dilute correctness under the pretext of accessibility.
- Flag modules that need a prerequisite bridge before delivery.
- Require explicit workload realism for evenings, bootcamps, or continuing education.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.