canvas-feedback-template_skill

Overview

This skill generates learning science–backed feedback templates tailored for Canvas assignments, emphasizing Pillar 3: Continuous Practice & Feedback. It creates targeted, encouraging, and ready-to-deliver comments for SpeedGrader and formats rubric-level responses for bulk workflows. Use it to save grading time while maintaining high-quality, actionable feedback that promotes student reflection and growth.

How this skill works

Provide basic assignment context: type, learning objectives, common issues, and any rubric criteria. The skill produces organized templates across four performance levels (Exceeds, Meets, Approaching, Needs Improvement) with a consistent structure: strength, specific observation, actionable next step, and a forward-looking connection. It can output rubric comments, SpeedGrader comment-library entries, and CSV-ready rows for bulk grading integrations like canvas-mcp.

When to use it

• Preparing SpeedGrader comment libraries for an upcoming grading round
• Creating rubric-level comments when a rubric exists or will be used
• Needing quick, consistent feedback for large classes or repeated assignments
• Designing peer review prompts and reviewer feedback templates
• Generating supportive remediation feedback for quiz or assessment reattempts

Best practices

• Start each comment with a genuine strength to maintain an encouraging tone
• Anchor observations to evidence in the submission (specific sentence, section, or score)
• Give one concrete, short next step students can complete before the next assignment
• Include a brief reflection prompt to encourage student self-assessment
• Match comment length and tone to assignment weight and course level

Example use cases

• Essay grading: produce Meets/Approaching/Needs templates that cite thesis, evidence, and conclusion improvements
• Rubric comments: generate YAML-ready comments for each criterion and level
• SpeedGrader libraries: format concise, copy-pasteable comments for quick application
• Peer review scaffolds: give reviewers sentence-level suggestions and reflection questions
• Bulk grading: output CSV rows for canvas-mcp bulk_grade_submissions workflows