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Cómo pedir trabajo con esta skill instalada
Instalar la skill da un método a tu IA. Tu petición todavía debe aportar los hechos del caso, las restricciones y el entregable esperado.
Describe la decisión o el entregable, no solo el tema.
Añade materiales, público, límites y hechos conocidos.
Fija formato, criterios de calidad y comprobaciones.
Cuándo usarla
- Grading individual student submissions after a homework deadline
- Generating class analytics on common errors and misconceptions
- Providing personalized feedback reports to students
- Evaluating coding assignments (syntax, logic, efficiency)
- Grading math problems with partial credit consideration
- Assessing essay submissions (argument structure, evidence, writing quality)
- Running automated first-pass grading before manual review
Errores que conviene evitar
- Grading without a rubric: Without defined standards, grades become inconsistent and hard to defend
- Being too harsh or too lenient: Use the rubric as a guardrail; calibrate with 2-3 samples before grading the full batch
- Writing generic feedback: "Good job!" or "Incorrect" tells students nothing actionable
- Not flagging plagiarism immediately: Don't score suspicious submissions; escalate for review
- Skipping analytics: The class-level insight is where you improve your teaching, not just individual scores
- Grading late submissions differently: Apply policy consistently; fairness is in consistency