Two small updates to make your life easier: mark content complete automatically with our new Course Action, and enjoy smoother performance thanks to completed API pagination updates.
Skilljar Course Action: Complete Content ✔️
Now live in the Completion & Post-Completion section of the Course Actions tab, Complete Content lets you automatically mark selected courses, paths, or plans as complete when a learner finishes the trigger course.
How it works:
- If a learner already has an active enrollment, the selected course, path, or plan will be marked complete.
- This action supports all completion triggers: pass or fail, pass only, or fail only.
- If a learner does not have an enrollment, they’ll be enrolled and marked complete instantly, with the same enrolled_at and completed_at timestamp.
- Note: Only top-level completion is recorded e.g. if this action is used to mark a course as complete, lesson progress will not be reflected in Course Analytics. Only the top-level course object will appear as completed.
Use it when:
You want to move learners along an automated learning workflow, like marking foundational content complete for power users who’ve already gone through similar training, or auto-completing onboarding content once a capstone course is finished.
Where to find it:
Skilljar Dashboard → Courses → Select a Course → Actions Tab → Completion or Post-Completion Actions
Check out the Help Center article for more details.
Skilljar API Pagination Update Complete 🛠️
Skilljar has updated our API pagination settings to improve reliability and performance for all customers, and to better align with how APIs operate across the industry.
- The default page size will remain 100 items per page; except those pages that previously returned up to 1000 results will now return 250 by default
- The maximum page size for all requests will change from 10,000 to 1,000
If your integration already uses standard pagination practices (such as iterating through pages until all data is retrieved), no changes are needed, you may simply notice that larger datasets require a few additional requests.This update will help ensure consistent API performance and stability for all Skilljar customers.
Visit our Help Center to learn more.