xint
X Intelligence CLI — search, monitor, analyze, and engage on X/Twitter. TypeScript + Bun. AI agent skill.
Capacity Planner
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install 1kalin/afrexai-capacity-plannerInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Plan team and infrastructure capacity before it becomes a crisis.
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.
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:
| Band | Rate | Meaning |
|---|---|---|
| 🟢 Green | <70% | Healthy buffer for unplanned work |
| 🟡 Yellow | 70-85% | Sustainable but tight |
| 🔴 Red | >85% | Burnout zone — something will slip |
For each scenario, output:
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
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.
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.
We build AI agent tools for businesses that want to stop guessing and start operating with data.
# 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...
# 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
X Intelligence CLI — search, monitor, analyze, and engage on X/Twitter. TypeScript + Bun. AI agent skill.
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