skillsmatrix_skill

Overview

This skill manages operator training and competency tracking for the MNMUK machine shop, aligning workforce data with IATF 16949 Clause 7.2 requirements. It helps answer who can run which machines, visualise training gaps, and plan cross-training and certifications. Use it to maintain training records, run coverage analysis, and produce monthly skills reports.

How this skill works

The skill stores per-employee competency levels across machines and skill categories, using a 0–5 scale from Not Trained to Expert. It generates matrices, training records, competency assessments, coverage and single-point-of-failure reports, and prioritized cross-training plans. It can produce operator lists for machine selection and identify immediate training actions to meet minimum coverage targets.

When to use it

• When asking "who can run [machine name]" or "who is trained on" a machine
• To create or update a training matrix for workforce planning
• When performing competency gap analysis or IATF 16949 audits
• To plan new-hire onboarding and progressive machine assignments
• When identifying single points of failure or scheduling cross-training

Best practices

• Record competency level, date achieved, assessor and evidence for every entry
• Use machine-specific competency checklists and required training hours before sign-off
• Maintain minimum coverage targets per machine and review gaps monthly
• Prioritise cross-training based on risk, coverage gaps and business criticality
• Revalidate competencies periodically and after process or equipment changes

Example use cases

• Produce a skills matrix showing all employees qualified on NLX2500 and highlight backups
• Generate a training plan for a new hire: weeks 1–2 orientation, weeks 3–4 foundation, months 2–6 primary machine progression
• Run a coverage analysis to identify machines with only one competent operator and action cross-training
• Create competency assessment records and training evidence for IATF 16949 audits
• Schedule prioritized cross-training when a high-risk machine falls below minimum operators