4,661,564 AI resources indexedWorking toward the world’s largest AI resource index.

Capacity Planning

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

Installable skillMITBy aj-geddesUpdated Oct 28, 2026
INTENDED FORClaude CodeCodexOpenClawCursorInstall in a listed agent.

instructions.md

---
name: capacity-planning-16b604f97d9f
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:

```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:

| 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

Platform guidance

Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.