Capacity Planning

aj-geddes/useful-ai-prompts/skills/capacity-planning

by aj-geddes3f5182cfd739No license355 starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 7 months ago

Analyze team capacity, plan resource allocation, and balance workload across projects. Forecast staffing needs and optimize team utilization while maintaining sustainable pace.

AI-generated overview

Guides team capacity analysis, resource allocation, and workload balancing across projects.

What it does
This skill provides guidance for analyzing team capacity, allocating people to projects, and balancing workload. It covers capacity assessment, forecasting staffing needs, resource leveling, and sustainable utilization targets, supported by reference guides and a process template. It produces planning guidance and templates rather than executable tooling.
When to use it
Use it during annual or quarterly planning cycles, when assigning people to projects, adjusting team size, planning for holidays and absences, forecasting resource needs, or identifying bottlenecks across multiple projects.
Requirements
No scripts; instructions and reference documents only. No special tools, packages, credentials, or network access are required.

Capacity Planning

Table of Contents

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:

python
# 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:

GuideContents
Capacity Assessment [blocked]Capacity Assessment
Capacity Planning Template [blocked]Capacity Planning Template
Resource Leveling [blocked]Resource Leveling
Capacity Forecasting [blocked]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

Source and attribution

Source:aj-geddes/useful-ai-promptsinskills/capacity-planningat commit3f5182c

License: No license

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