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Afrexai Capacity Planner

Capacity Planner

1kalin0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install 1kalin/afrexai-capacity-planner

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

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...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/1kalin/afrexai-capacity-planner
Version
—
Commit
06f7dc6f07a10d0eba4d89103f6e659be423e60e
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

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.

Contenu extrait

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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