/capacity-planning
Analyze team capacity, plan resource allocation, and balance workload across projects. Forecast staffing needs and optimize team utilization while maintaining sustainable pace.
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/capacity-planning
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Analyze team capacity, plan resource allocation, and balance workload across projects. Forecast staffing needs and optimize team utilization while maintaining sustainable pace.
SKILL.md
capacity-planning.SKILL.mdname: capacity-planning
description: >
Analyze team capacity, plan resource allocation, and balance workload across
projects. Forecast staffing needs and optimize team utilization while
maintaining sustainable pace.
Capacity Planning
Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
Overview
Capacity planning ensures teams have sufficient resources to deliver work at sustainable pace, prevents burnout, and enables accurate commitment to stakeholders.
When to Use
- Annual or quarterly planning cycles
- Allocating people to projects
- Adjusting team size
- Planning for holidays and absences
- Forecasting resource needs
- Balancing multiple projects
- Identifying bottlenecks
Quick Start
Minimal working example:
# Team capacity calculation and planning
class CapacityPlanner:
# Standard work hours per week
STANDARD_WEEK_HOURS = 40
# Activities that reduce available capacity
OVERHEAD_HOURS = {
'meetings': 5, # standups, 1-on-1s, planning
'training': 2, # learning new tech
'administrative': 2, # emails, approvals
'support': 2, # helping teammates
'contingency': 2 # interruptions, emergencies
}
def __init__(self, team_size, sprint_duration_weeks=2):
self.team_size = team_size
self.sprint_duration_weeks = sprint_duration_weeks
self.members = []
def calculate_team_capacity(self):
"""Calculate available capacity hours"""
# Base capacity
base_hours = self.team_size * self.STANDARD_WEEK_HOURS * self.sprint_duration_weeks
// ... (see reference guides for full implementation)Reference Guides
Detailed implementations in the `references/` directory:
| Guide | Contents | |---|---| | [Capacity Assessment](references/capacity-assessment.md) | Capacity Assessment | | [Capacity Planning Template](references/capacity-planning-template.md) | Capacity Planning Template | | [Resource Leveling](references/resource-leveling.md) | Resource Leveling | | [Capacity Forecasting](references/capacity-forecasting.md) | Capacity Forecasting |
Best Practices
✅ DO
- Plan capacity at 85% utilization (15% buffer)
- Account for meetings, training, and overhead
- Include known absences (vacation, holidays)
- Identify skill bottlenecks early
- Balance workload fairly across team
- Review capacity monthly
- Adjust plans based on actual velocity
- Cross-train on critical skills
- Communicate realistic commitments to stakeholders
- Build contingency for emergencies
❌ DON'T
- Plan at 100% utilization
- Ignore meetings and overhead
- Assign work without checking skills
- Create overload with continuous surprises
- Forget about learning/training time
- Leave capacity planning to last minute
- Overcommit team consistently
- Burn out key people
- Ignore team feedback on workload
- Plan without considering absences
Read more
name: capacity-planning description: > Analyze team capacity, plan resource allocation, and balance workload across projects. Forecast staffing needs and optimize team utilization while maintaining sustainable pace.
Capacity Planning
Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
Overview
Capacity planning ensures teams have sufficient resources to deliver work at sustainable pace, prevents burnout, and enables accurate commitment to stakeholders.
When to Use
- Annual or quarterly planning cycles
- Allocating people to projects
- Adjusting team size
- Planning for holidays and absences
- Forecasting resource needs
- Balancing multiple projects
- Identifying bottlenecks
Quick Start
Minimal working example:
# Team capacity calculation and planning
class CapacityPlanner:
# Standard work hours per week
STANDARD_WEEK_HOURS = 40
# Activities that reduce available capacity
OVERHEAD_HOURS = {
'meetings': 5, # standups, 1-on-1s, planning
'training': 2, # learning new tech
'administrative': 2, # emails, approvals
'support': 2, # helping teammates
'contingency': 2 # interruptions, emergencies
}
def __init__(self, team_size, sprint_duration_weeks=2):
self.team_size = team_size
self.sprint_duration_weeks = sprint_duration_weeks
self.members = []
def calculate_team_capacity(self):
"""Calculate available capacity hours"""
# Base capacity
base_hours = self.team_size * self.STANDARD_WEEK_HOURS * self.sprint_duration_weeks
// ... (see reference guides for full implementation)Reference Guides
Detailed implementations in the `references/` directory:
| Guide | Contents | |---|---| | [Capacity Assessment](references/capacity-assessment.md) | Capacity Assessment | | [Capacity Planning Template](references/capacity-planning-template.md) | Capacity Planning Template | | [Resource Leveling](references/resource-leveling.md) | Resource Leveling | | [Capacity Forecasting](references/capacity-forecasting.md) | Capacity Forecasting |
Best Practices
✅ DO
- Plan capacity at 85% utilization (15% buffer)
- Account for meetings, training, and overhead
- Include known absences (vacation, holidays)
- Identify skill bottlenecks early
- Balance workload fairly across team
- Review capacity monthly
- Adjust plans based on actual velocity
- Cross-train on critical skills
- Communicate realistic commitments to stakeholders
- Build contingency for emergencies
❌ DON'T
- Plan at 100% utilization
- Ignore meetings and overhead
- Assign work without checking skills
- Create overload with continuous surprises
- Forget about learning/training time
- Leave capacity planning to last minute
- Overcommit team consistently
- Burn out key people
- Ignore team feedback on workload
- Plan without considering absences
488 production-ready AI prompts, all following a standardized template with validated quality gates. Transform ChatGPT, Claude, and other AI assistants into expert consultants.
Repo: aj-geddes/useful-ai-prompts
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