---
name: canvas-study-plan
description: Create personalized study plans from Canvas data. Use for: (1) "Help me plan my week" or similar study requests, (2) Prioritizing assignments by deadline and grade impact, (3) Analyzing course grades and identifying attention areas, (4) Generating weekly schedules. Requires canvas_get_upcoming, canvas_get_grades, and canvas_list_announcements tools.
---

# Canvas Study Strategy

Use Canvas LMS data to create personalized, prioritized study plans.

## Workflow

1. **Gather Data**
   - `canvas_get_upcoming` - All assignments across courses
   - `canvas_get_grades` - Current standing in each course
   - `canvas_list_announcements` - Important course updates

2. **Analyze & Prioritize**
   - Rank by: deadline proximity AND grade weight
   - Flag courses below target grade (typically B+ or 87%)
   - Balance short deadlines with long-term prep

3. **Generate Plan**
   - Break assignments into 2-3 hour study blocks
   - Include buffer time (20% minimum)
   - Mix focused study with practice problems

## Output Template

```
📅 WEEKLY STUDY PLAN

🎯 PRIORITY RANKING

1. [Course]: [Assignment]
   Due: [Date/Time] | Weight: [X%] | Est: [X hrs]
   Tips: [2-3 specific tips]

2. [Next priority...]

📊 GRADE STATUS
✅ On track: [Courses with B+ or better]
⚠️ Needs attention: [Courses below target]
   → [One actionable recommendation each]

📋 SUGGESTED SCHEDULE
[Day]: [2-3 hr block for top priority]
[Day]: [Balance remaining work]

💡 QUICK TIPS
- [1-2 high-impact strategies]
```

## Key Principles

- **Verify deadlines**: Check exact times, don't assume midnight
- **Be realistic**: Students have multiple courses; don't overbook
- **Prioritize impact**: Weight + deadline, not just urgency
- **Encourage**: Reduce stress, build confidence
- **Ask before saving files**: If generating a study guide file, ask for the destination first (Desktop/path/inline-only). Do not save into project source folders unless explicitly requested.

## Fallback

If Canvas data unavailable: provide general study advice and prompt user to connect Canvas in Settings.


---
Source attribution: lukebrevoort
Original project: https://github.com/lukebrevoort/OpenFlowState/blob/47b0a558f6e486f316046b906a93401a526e4e5b/workflows/canvas-study/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Dave AI.

## Upstream license notice

MIT License

Copyright (c) 2026 Luke Brevoort

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Dave AI resource metadata

Creator / publisher: lukebrevoort
Original project: https://github.com/lukebrevoort/OpenFlowState/blob/47b0a558f6e486f316046b906a93401a526e4e5b/workflows/canvas-study/SKILL.md
Attribution basis: Recovered original package and original project license at a pinned revision

Fields of work: Education & Research
Roles: Curriculum Designer, Tutor / Instructor
Specialties: Specialty not specified
Tools: Canvas
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 8c7c47733483fdf8f1082927ced0f3bc14701496cab60d99742d3c0592a279e7
Metadata reviewed: 2026-10-27
This metadata supersedes earlier Dave AI catalog attribution. Original instruction and supporting files are preserved.