A proactive forecasting tool that builds forward-looking capacity models to prevent team burnout and infrastructure crises.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install afrexai-capacity-planner
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install afrexai-capacity-planner using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Capacity Planner is a sophisticated resource management tool designed to transform how organizations handle workload distribution and infrastructure scaling. As part of the Openclaw Skills collection, it analyzes team size, utilization rates, and project pipelines to generate predictive models that flag potential bottlenecks 4 to 8 weeks before they impact operations.
This skill enables leaders to move beyond gut feel by providing a quantitative framework for planning. It ensures that every new project or hiring decision is backed by data, maintaining a healthy balance between productivity and sustainable growth within the Openclaw Skills environment.
To integrate this capability into your environment, use the following commands within the Openclaw Skills framework:
# Install the capacity planner skill
openclaw add capacity-planner
# Initialize your team profile
openclaw run capacity-planner --init
The skill organizes planning data through a structured framework of utilization bands and metrics:
| Metric | Description | Target/Formula |
|---|---|---|
| Effective Capacity | Total available output | Headcount × Hours × Efficiency |
| Demand Pipeline | Total work load | Committed + Probable weighted hours |
| Buffer Ratio | Safety margin | (Capacity - Demand) / Capacity (15-25%) |
| Time to Constraint | Deadline of failure | Weeks until demand exceeds capacity |
Utilization is classified into three bands: Green (<70% Buffer), Yellow (70-85% Tight), and Red (>85% Burnout).
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