Overview
- Skill Key
- 1kalin/afrexai-capacity-planner
- Author
- 1kalin
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/1kalin/afrexai-capacity-planner
- Latest Commit SHA
- 06f7dc6f07a10d0eba4d89103f6e659be423e60e
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 Afrexai Capacity Planner 技能。 若已安装,则直接安装 Afrexai Capacity Planner 技能。
# 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
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