A read-only Canvas LMS integration designed to automate student workflows including assignment tracking and course material gathering.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install canvas-lms-student
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-student 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 Student Skill?
The Canvas LMS Student skill is a powerful tool designed to bridge the gap between academic management systems and AI-assisted workflows. It provides students with a secure, read-only interface to extract critical data from their Canvas courses, including assignment details, syllabi, and lecture materials. As a prominent addition to the library of Openclaw Skills, it enables users to treat their learning management system as a structured data source for research and organization.
By leveraging this skill, students can bypass manual navigation of the Canvas web interface. Instead, they can use natural language or automated scripts to pull exactly what they need—whether that is a list of upcoming deadlines or a batch of lecture PDFs. This integration is particularly valuable for those building personalized academic assistants or automated study environments.
Canvas LMS Student Skill Use Cases
- Tracking upcoming homework deadlines and submission statuses across multiple courses.
- Automating the download of lecture notes, PDFs, and reference materials for offline study.
- Extracting full assignment requirements and rubrics to provide context for AI-assisted writing.
- Exporting academic schedules to external calendar applications in .ics format.
- Searching through course announcements and files to find specific study topics.
How Canvas LMS Student Skill Works
- The skill connects to the Canvas API using a secure personal access token and the institution's base URL.
- Users initiate queries such as listing courses or searching for specific assignments through the provided Python scripts.
- The tool resolves course names to internal IDs automatically to simplify user interactions.
- Relevant data is retrieved and formatted into clean Markdown or JSON, optimized for human reading or AI consumption.
- For file-based tasks, the skill manages directory structures and extension filtering to organize course downloads locally.
Canvas LMS Student Skill Setup
To begin using this skill within the ecosystem of Openclaw Skills, follow these installation steps:
# Install the skill using the Openclaw CLI
openclaw skills install canvas-lms-student
# Configure your credentials via environment variables
export CANVAS_BASE_URL="https://your-school.instructure.com"
export CANVAS_API_TOKEN="your-personal-access-token"
# Or use the interactive CLI setup
pip install canvas-lms-cli
canvas-lms config
Ensure your API token is generated from Canvas -> Account -> Settings -> Approved Integrations.
Canvas LMS Student Skill Data Schema & Taxonomy
The skill organizes Canvas data into structured formats for clear visibility:
| Data Type | format | Key Attributes |
|---|---|---|
| Courses | JSON / Table | ID, Course Code, Name, Current Grade |
| Assignments | JSON / List | Due Date, Points, Rubric, Submission Status |
| Files | File System | Canvas folder structure, file extensions, ID prefixes |
| Calendar | .ics | Standard iCalendar format for assignments |
Canvas LMS Student Skill Advanced Features
- Intelligent name resolution that maps human-readable course titles to API-specific IDs.
- Multi-course calendar export functionality to consolidate deadlines from different subjects into one file.
- Content-aware searching that scans assignments, announcements, and files simultaneously.
- Automated HTML-to-Markdown cleaning for assignment descriptions to improve AI processing.
- Full compatibility with other Openclaw Skills for building complex, multi-agent academic pipelines.
SKILL.md
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