Energy Based Workload and Capacity Planner
Plan work around energy, cognitive load, deadlines, recovery, commitments, buffers, and realistic weekly capacity.
Energy Based Workload and Capacity Planner is a free AI skill for personal productivity. Plan work around energy, cognitive load, deadlines, recovery, commitments, buffers, and realistic weekly capacity. It works with Claude, ChatGPT and is ready to use out of the box.
About this skill
Plan work around energy, cognitive load, deadlines, recovery, commitments, buffers, and realistic weekly capacity. It applies a structured professional workflow, makes assumptions visible, and produces implementation-ready guidance with ownership, edge cases, controls, and validation.
What it does
The skill analyzes objectives, users, workflows, evidence, dependencies, constraints, and risks; converts them into a practical operating model; and produces explicit rules, responsibilities, exceptions, controls, tests, and rollout guidance.
What is included
- Capacity context
- Commitment inventory
- Energy profile
- Task-load model
- Weekly allocation
- Deep and shallow work
- Buffers and limits
- Recovery plan
How to use it
1. Download the energy-based-workload-and-capacity-planner-SKILL.md file 2. Upload it to your AI, operational, or project workspace 3. Provide the current process, users, goals, evidence, and constraints 4. Add ownership, approval, risk, and implementation requirements 5. Use the output for design, review, testing, and rollout
Examples
Create a weekly capacity model for a student-founder balancing university, product work, client tasks, language learning, and recovery.
A complete professional deliverable with context, decisions, ownership, workflows, edge cases, risks, controls, validation criteria, and an implementation roadmap.
FAQ
What is this skill for?
Will it invent facts or results?
Can it improve an existing process?
Does it include edge cases?
Can it assign ownership?
How is this different from generic advice?
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