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Afrexai Capacity Planner

Capacity Planner

1kalin0 来源安装数☆ 0 仓库 Stars

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install 1kalin/afrexai-capacity-planner

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Capacity Planner

Plan team and infrastructure capacity before it becomes a crisis.

What It Does

Takes your current workload data — team size, utilization rates, project pipeline, seasonal patterns — and builds a forward-looking capacity model. Flags bottlenecks 4-8 weeks before they hit.

When to Use

  • Sprint planning feels like guesswork
  • You're not sure if you can take on a new client/project
  • Hiring decisions need data, not gut feel
  • Infrastructure keeps getting slammed at predictable times

How to Use

Tell the agent about your situation:

"We have 8 engineers, 3 active projects, and a new client starting in March. Can we handle it?"

The agent will:

  1. Audit current load — Map people to commitments, calculate true utilization (not the number in your head)
  2. Model scenarios — What happens if the new project lands? What if two people quit? What if scope grows 30%?
  3. Flag risks — Identify single points of failure, overloaded roles, deadline clusters
  4. Recommend actions — Hire, redistribute, defer, or say no — with numbers behind each option

Capacity Framework

Utilization Bands
Band Rate Meaning
🟢 Green <70% Healthy buffer for unplanned work
🟡 Yellow 70-85% Sustainable but tight
🔴 Red >85% Burnout zone — something will slip
Key Metrics
  • Effective capacity = headcount × available hours × efficiency factor (typically 0.7-0.8)
  • Demand pipeline = committed hours + probable hours (weighted by likelihood)
  • Buffer ratio = (capacity - demand) / capacity — target 15-25%
  • Time to constraint = weeks until demand exceeds capacity at current trajectory
Scenario Template

For each scenario, output:

  • Headcount needed vs. available
  • Skill gaps (specific roles/capabilities missing)
  • Timeline risk (which deadlines move)
  • Cost impact (overtime, contractors, lost revenue from saying no)
  • Recommended action with confidence level

Output...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/1kalin/afrexai-capacity-planner
Version
—
Commit
06f7dc6f07a10d0eba4d89103f6e659be423e60e
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

README

Capacity Planner

Plan team and infrastructure capacity before it becomes a crisis. Maps people to projects, models scenarios, and flags bottlenecks 4-8 weeks before they hit.

No more guessing whether you can take on that new client or if your team is about to burn out.

Features

  • Utilization tracking with green/yellow/red bands
  • Scenario modeling (new hires, attrition, scope changes)
  • Buffer ratio monitoring (target 15-25%)
  • Skill gap identification
  • Actionable recommendations with cost impact

Usage

Install via ClawHub, then ask your agent:

"We have 8 engineers, 3 active projects, and a new client starting in March. Can we handle it?"

The agent audits current load, models scenarios, flags risks, and recommends specific actions — backed by numbers.

Built by AfrexAI

We build AI agent tools for businesses that want to stop guessing and start operating with data.

来源内容

SKILL.md
# Capacity Planner

Plan team and infrastructure capacity before it becomes a crisis.

## What It Does

Takes your current workload data — team size, utilization rates, project pipeline, seasonal patterns — and builds a forward-looking capacity model. Flags bottlenecks 4-8 weeks before they hit.

## When to Use

- Sprint planning feels like guesswork
- You're not sure if you can take on a new client/project
- Hiring decisions need data, not gut feel
- Infrastructure keeps getting slammed at predictable times

## How to Use

Tell the agent about your situation:

```
"We have 8 engineers, 3 active projects, and a new client starting in March. Can we handle it?"
```

The agent will:
1. **Audit current load** — Map people to commitments, calculate true utilization (not the number in your head)
2. **Model scenarios** — What happens if the new project lands? What if two people quit? What if scope grows 30%?
3. **Flag risks** — Identify single points of failure, overloaded roles, deadline clusters
4. **Recommend actions** — Hire, redistribute, defer, or say no — with numbers behind each option

## Capacity Framework

### Utilization Bands
| Band | Rate | Meaning |
|------|------|---------|
| 🟢 Green | <70% | Healthy buffer for unplanned work |
| 🟡 Yellow | 70-85% | Sustainable but tight |
| 🔴 Red | >85% | Burnout zone — something will slip |

### Key Metrics
- **Effective capacity** = headcount × available hours × efficiency factor (typically 0.7-0.8)
- **Demand pipeline** = committed hours + probable hours (weighted by likelihood)
- **Buffer ratio** = (capacity - demand) / capacity — target 15-25%
- **Time to constraint** = weeks until demand exceeds capacity at current trajectory

### Scenario Template
For each scenario, output:
- Headcount needed vs. available
- Skill gaps (specific roles/capabilities missing)
- Timeline risk (which deadlines move)
- Cost impact (overtime, contractors, lost revenue from saying no)
- Recommended action with confidence level

## Output...
README
# Capacity Planner

Plan team and infrastructure capacity before it becomes a crisis. Maps people to projects, models scenarios, and flags bottlenecks 4-8 weeks before they hit.

**No more guessing** whether you can take on that new client or if your team is about to burn out.

## Features

- Utilization tracking with green/yellow/red bands
- Scenario modeling (new hires, attrition, scope changes)
- Buffer ratio monitoring (target 15-25%)
- Skill gap identification
- Actionable recommendations with cost impact

## Usage

Install via ClawHub, then ask your agent:

> "We have 8 engineers, 3 active projects, and a new client starting in March. Can we handle it?"

The agent audits current load, models scenarios, flags risks, and recommends specific actions — backed by numbers.

## Built by AfrexAI

We build AI agent tools for businesses that want to stop guessing and start operating with data.

- 🧮 [AI Revenue Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/) — Free tool to find revenue leaks
- 🏪 [Context Packs](https://afrexai-cto.github.io/context-packs/) — Industry-specific agent configs ($47 each)
- ⚡ [Agent Setup Wizard](https://afrexai-cto.github.io/agent-setup/) — Configure your AI agent in 5 minutes

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