For open-source maintainers carrying too many project duties, map recurring work, spot pressure points such as release weeks or unanswered issue queues, and weigh which tasks can move to other contributors. Get a workload-sharing plan with named roles and next steps, plus a check-in guide for discussing capacity without turning the meeting into a blame session.
Maintainer Burnout
Map open-source maintainer workload and plan who can take recurring tasks
Use Maintainer Burnout
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What it writes
- Maintainer workload and pressure-point map
- Task-sharing plan with owners and next steps
- Maintainer check-in agenda and questions
How to use it
In your first message, name recurring duties, who handles each one, and what changed recently. Add volunteer availability and any tasks that cannot move; that makes the workload plan easier to use.
What you bring
- Project size and maintainer responsibilities
- Recurring tasks and recent participation changes
- Volunteer availability and team constraints
- Know which project duties are recurring
A good fit for
- Release weeks leave you handling reviews, support, and announcements alone
- Volunteer participation has dropped, and routine project work keeps piling up
- You need a team check-in about workload without singling people out
Ways to start
A few requests this Agent can handle.
I maintain a 12-person Python project. I handle releases, triage, and most reviews, and two contributors have gone quiet. Help me map the pressure points and possible next steps.
Our project has 40 open issues, one person doing releases, and three occasional contributors. Suggest a workload-sharing plan that accounts for limited volunteer time.
I’m planning a maintainer check-in for a six-person project after two people stepped back. Give me questions about workload and a short agenda that avoids blame.
Good to know
This workspace provides text assistance.
- Burnout diagnosis or a substitute for mental health care
- Can assess only the project context you describe
- Cannot contact contributors or measure their workload directly
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