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Canvas Week Plan

Community
vishalsachdev
canvas-week-plan

Student weekly assignment planner for Canvas LMS. Shows all due dates, submission status, grades, and peer reviews across all courses. Use when a student says "what's due", "plan my week", "weekly check", or wants to organize their coursework.

Overview

Publishervishalsachdev
Repositorycanvas-mcp
Skill namecanvas-week-plan
Stars
305
Forks
99
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by vishalsachdev on GitHub. Read the source before you install it.

Installation

Install the Canvas Week Plan AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/vishalsachdev/canvas-mcp/tree/main/skills/canvas-week-plan
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/vishalsachdev/canvas-mcp.git /tmp/canvas-mcp
mkdir -p .claude/skills
cp -r /tmp/canvas-mcp/skills/canvas-week-plan .claude/skills/canvas-week-plan
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Canvas Week Plan in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Canvas Week Plan on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Canvas Week Plan is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Canvas Week Plan

Generate a comprehensive weekly plan for a student, showing all upcoming assignments, current grades, submission status, and pending peer reviews across all enrolled courses.

Prerequisites

  • Canvas MCP server must be configured and running in the agent's MCP client (e.g., Claude Code, Cursor, Codex, OpenCode)
  • The user must have a student role in their Canvas courses
  • No anonymization is needed -- students only see their own data

Steps

1. Get Upcoming Assignments

Call the MCP tool get_my_upcoming_assignments with days=7 to retrieve all assignments due in the next week.

Data to collect per assignment:

  • Assignment name
  • Course name or code
  • Due date and time
  • Point value
  • Assignment type (quiz, essay, discussion, etc.)

2. Check Submission Status

Call the MCP tool get_my_submission_status to determine what has been submitted and what has not.

Categorize each assignment as one of:

  • Submitted -- already turned in
  • Not submitted -- still needs to be done
  • Late -- past due but late submissions still accepted
  • Missing -- past due, no late submissions accepted

3. Get Current Grades

Call the MCP tool get_my_course_grades to show academic standing for each enrolled course.

Collect per course:

  • Current percentage and letter grade
  • Impact of upcoming assignments on grade (if calculable)

4. Check Peer Reviews

Call the MCP tool get_my_peer_reviews_todo to find any pending peer reviews.

Collect per pending review:

  • Which assignment needs peer review
  • How many reviews are required
  • Deadline for completing reviews
  • Reviews completed vs. remaining

5. Generate the Weekly Plan

Present a structured, actionable plan using the format below. Adjust courses, assignments, and numbers to match the actual data retrieved.

## Your Week Ahead

### Quick Stats
- **Due this week:** 5 assignments
- **Already submitted:** 2
- **Peer reviews pending:** 3
- **Highest priority:** Final Project (100 pts, due Fri)

### By Course

#### CS 101 (Current: 87% B+)
| Assignment | Due | Points | Status |
|------------|-----|--------|--------|
| Quiz 5 | Tue 11:59pm | 20 | Not submitted |
| Lab 8 | Thu 5:00pm | 30 | Submitted |

#### MATH 221 (Current: 92% A-)
| Assignment | Due | Points | Status |
|------------|-----|--------|--------|
| HW 12 | Wed 11:59pm | 25 | Not submitted |
| Final Project | Fri 11:59pm | 100 | Not submitted |

### Peer Reviews Due
- **Essay 2 Peer Review** (ENG 101) - 2 reviews needed by Thu
- **Project Proposal Review** (CS 101) - 1 review needed by Fri

### Suggested Priority Order
1. **Quiz 5** (CS 101) - Due tomorrow, 20 pts
2. **HW 12** (MATH 221) - Due Wed, 25 pts
3. **Peer Reviews** - 3 total, due Thu-Fri
4. **Final Project** (MATH 221) - Due Fri, 100 pts (start early!)

### Grade Impact
- Completing all assignments could raise your grades:
  - CS 101: 87% -> 89%
  - MATH 221: 92% -> 94%

6. Offer Drill-Down Options

After presenting the plan, let the user know what further actions are available:

Need more details? I can:
1. Show full assignment instructions for any item
2. Check the rubric for an assignment
3. Show your grade breakdown for a course
4. Focus on just one course

MCP Tools Used

ToolPurpose
get_my_upcoming_assignmentsFetch assignments due within a time window
get_my_submission_statusCheck submitted vs. not submitted
get_my_course_gradesRetrieve current grades per course
get_my_peer_reviews_todoFind pending peer review tasks
get_assignment_detailsDrill down into a specific assignment (rubric, instructions)

Output Variations

Compact Mode

If the user asks for a "quick check" or "just the highlights", use a shorter format:

## This Week
- 3 assignments due (2 not started)
- 2 peer reviews pending
- Grades: CS 101 (87%), MATH 221 (92%), ENG 101 (85%)

**Priority:** Quiz 5 (tomorrow), HW 12 (Wed), Final Project (Fri)

Single Course Mode

If the user specifies a course (e.g., "plan my week for CS 101"), show only that course's assignments, grades, and peer reviews.

Notes

  • Best used at the start of each week (Sunday or Monday)
  • Assignments are sorted by due date, then by point value
  • Late and missing assignments are highlighted for attention
  • All student-facing tools use the get_my_* prefix
  • No privacy concerns since students only access their own data

Frequently asked questions

What does the Canvas Week Plan AI skill do?

Student weekly assignment planner for Canvas LMS. Shows all due dates, submission status, grades, and peer reviews across all courses. Use when a student says "what's due", "plan my week", "weekly check", or wants to organize their coursework.

Why use Canvas Week Plan on TypingMind?

Because you install it once and use it with any model. Canvas Week Plan is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Canvas Week Plan in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vishalsachdev/canvas-mcp/tree/main/skills/canvas-week-plan. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Canvas Week Plan?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Canvas Week Plan?

As many as you like. As long as a model supports skills, you can use Canvas Week Plan with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Canvas Week Plan AI skill free?

Yes. It is published on GitHub by vishalsachdev under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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