A comprehensive integration for accessing Canvas LMS course data, assignments, and grades using the official REST API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install canvas-lms
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install canvas-lms using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Canvas LMS?
The Canvas LMS skill is a powerful bridge between your AI development environment and the Instructure educational ecosystem. By leveraging Openclaw Skills, developers and students can programmatically interact with course content, track upcoming deadlines, and monitor academic performance.
This integration simplifies the process of gathering contextual educational data for personalized AI study assistants or automated reporting tools. It provides a standardized way for an AI agent to navigate the complex hierarchy of courses, modules, and submissions common in modern academic environments.
Canvas LMS Use Cases
- Monitoring upcoming assignment due dates and creating automated study reminders.
- Retrieving current grades and scores across multiple active courses for performance tracking.
- Downloading course modules and files to provide context for AI-driven research or summarization.
- Checking for new course announcements and inbox conversations to stay updated on class changes.
- Identifying missing or overdue submissions to ensure academic compliance.
How Canvas LMS Works
- The AI agent authenticates with the Canvas instance using a user-generated Bearer token stored in the environment.
- Queries are dispatched to the official Canvas REST API endpoints based on the requested data such as courses or assignments.
- The skill handles large datasets by supporting pagination through the Link header and filtering by enrollment state.
- JSON responses are parsed to extract relevant metadata like ISO 8601 timestamps and current scores.
- Extracted data is presented to the agent to inform task completion or generate context-aware responses.
Canvas LMS Setup
To get started with this skill in Openclaw Skills, follow these steps:
- Generate an API token in Canvas: Navigate to Account -> Settings -> New Access Token.
- Store the token and your school's URL in your environment or .env file:
export CANVAS_TOKEN="your_token_here"
export CANVAS_URL="https://your-school.instructure.com"
- Verify the configuration by fetching your profile:
curl -s -H "Authorization: Bearer $CANVAS_TOKEN" "$CANVAS_URL/api/v1/users/self/profile"
Canvas LMS Data Schema & Taxonomy
The Canvas LMS skill organizes information according to the standard Instructure API schema. Data is returned as JSON objects with the following primary structures:
| Object | Key Attributes |
|---|---|
| Courses | id, name, course_code, enrollment_term_id |
| Assignments | id, name, due_at, points_possible, submission_types |
| Submissions | grade, score, submitted_at, late, missing |
| Modules | id, name, items_count, state |
| Users | id, name, primary_email, avatar_url |
| Conversations | id, subject, last_message, workflow_state |
Canvas LMS Advanced Features
- Multi-course synchronization for a unified view of academic deadlines across a full semester.
- Granular enrollment filtering to separate active courses from past archives or upcoming terms.
- Support for nested module item retrieval, allowing for deep indexing of course resources by Openclaw Skills.
- Automated grade extraction including current grading period scores and overall percentages.
- Integration with inbox conversations and system announcements for real-time notification workflows.
SKILL.md
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