A professional-grade integration for tracking Coursera enrollment status, course progress, and earned certificates through the official Coursera API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install coursera-progress
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 coursera-progress 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 Coursera Progress?
The Coursera Progress skill is a powerful extension for AI agents within the Openclaw Skills ecosystem, designed to provide real-time insights into a learner's academic journey. By interfacing directly with Coursera REST API v1, it allows users to programmatically retrieve detailed data regarding their active courses, cumulative grades, and academic milestones.
This skill bridges the gap between manual dashboard checking and automated productivity. Whether you need to verify a certificate code or list upcoming assignment deadlines, this integration provides a structured way to handle educational data. It supports both authenticated personal access for private data and public lookups for course discovery, making it a versatile tool for any dedicated learner using Openclaw Skills.
Coursera Progress Use Cases
- Generating a daily summary of upcoming Coursera assignment deadlines.
- Tracking real-time completion percentages for multiple active specializations.
- Retrieving official certificate verification URLs and issuance dates automatically.
- Searching the Coursera catalog for new courses based on specific keywords or partners.
- Centralizing academic performance metrics like grades across various enrolled courses.
How Coursera Progress Works
- The skill initializes by verifying the existence of required environment variables, specifically the Coursera Client ID and Secret.
- It authenticates with the Coursera OAuth 2.0 server using a client credentials flow to obtain a secure access token.
- Upon user request, it queries the /users/v1/me endpoint to identify the unique learner profile.
- It fetches specific enrollment data, including course IDs, grades, and completion statuses, from the enrollments.v1 endpoint.
- The raw JSON response is parsed by a Python helper or shell script to format the data into a human-readable progress summary or deadline schedule.
Coursera Progress Setup
To get started with this integration in Openclaw Skills, follow these steps:
- Visit coursera.org/account/api to generate your API keys.
- Export your credentials and generate an access token using the following commands:
export COURSERA_CLIENT_ID="your_client_id"
export COURSERA_CLIENT_SECRET="your_client_secret"
# Generate the access token
COURSERA_ACCESS_TOKEN=$(curl -s -X POST \
"https://api.coursera.com/oauth2/client_credentials/token" \
-H "Content-Type: application/x-www-form-urlencoded" \
-d "grant_type=client_credentials&client_id=$COURSERA_CLIENT_ID&client_secret=$COURSERA_CLIENT_SECRET" \
| python3 -c "import json,sys; print(json.load(sys.stdin)['access_token'])")
export COURSERA_ACCESS_TOKEN
Coursera Progress Data Schema & Taxonomy
The skill organizes learning data into several key entities to ensure clarity within the Openclaw Skills framework:
| Entity | Key Fields Tracked |
|---|---|
| Enrollments | courseId, enrolledAt, grade, completedAt, certificateCode |
| Course Details | name, slug, description, specializations, workload |
| Progress | progressPercent, completedAt, currentGrade |
| Deadlines | deadlineSchedule, moduleIds, dueAt |
| Certificates | issuedAt, verifyUrl, grade, courseId |
Coursera Progress Advanced Features
- Multi-path Authentication: Supports both full OAuth 2.0 flows for personal data and unauthenticated public lookups.
- On-Demand Progress Tracking: Granular tracking of specific module completions and percentage-based progress.
- Automated Deadline Filtering: Logic to filter and display only the most urgent tasks within a customizable 14-day window.
- Error Resilience: Built-in handling for 429 rate limits (approx. 100 req/min) and 401 token expiration refreshes.
- Specialized Search: Ability to query the Coursera catalog with advanced filters like partner IDs and primary languages.
SKILL.md
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