xint
X Intelligence CLI — search, monitor, analyze, and engage on X/Twitter. TypeScript + Bun. AI agent skill.
Capacity Planner
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。
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:
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。
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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