resource-leveling
Optimize resource allocation to eliminate overallocation while minimizing schedule impact
Profile →npx skills add a5c-ai/babysitter --skill resource-leveling --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Resource Leveling Optimizer ## Overview The Resource Leveling Optimizer skill resolves resource overallocation conflicts and optimizes resource utilization across project schedules. It applies intelligent algorithms to balance workloads, eliminate conflicts, and minimize schedule extension while respecting resource constraints and priorities. ## Capabilities ### Conflict Detection - Detect resource overallocation conflicts - Identify resource contention periods - Calculate overallocation severity and duration - Map resource conflicts to specific activities ### Leveling Algorithms - Apply resource leveling algorithms (priority-based, min slack) - Perform resource smoothing (within float only) - Optimize multi-resource allocation - Support skills-based resource assignment - Handle part-time and split assignments ### Analysis and Reporting - Calculate resource utilization histograms - Generate resource loading reports - Calculate resource costs by period - Produce before/after comparison metrics - Report schedule impact of leveling ### Advanced Features - Multi-project resource leveling - Resource pool optimization - Skills matching and substitution - Calendar-aware scheduling - Ove
- Overview
- Capabilities
- Conflict Detection
- Leveling Algorithms
- Analysis and Reporting
- Advanced Features
- Usage
- Input Requirements
- Output Deliverables
- Example Use Cases
- Process Integration
- Dependencies
- Related Skills
What does the resource-leveling skill do?
Optimize resource allocation to eliminate overallocation while minimizing schedule impact
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill resource-leveling --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.