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Capacity Planner

Plan team and infrastructure capacity before it becomes a crisis.

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包含的文件(2)

  • SKILL.md3.6 KB
  • README.md1.3 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

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

BandRateMeaning
🟢 Green<70%Healthy buffer for unplanned work
🟡 Yellow70-85%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 Format

CAPACITY SNAPSHOT — [Date]
━━━━━━━━━━━━━━━━━━━━━━━━━━
Team: [size] | Utilization: [%] | Buffer: [%]
Status: 🟢/🟡/🔴

CURRENT COMMITMENTS
- [Project A]: [X people, Y hours/week, end date]
- [Project B]: ...

PIPELINE (next 8 weeks)
- [Incoming work]: probability %, estimated load
- ...

RISKS
1. [Risk description + impact + timeframe]
2. ...

SCENARIOS
A) [Scenario]: [outcome summary]
B) [Scenario]: [outcome summary]

RECOMMENDATION
[Clear action with reasoning]

Tips

  • Refresh capacity snapshots weekly during planning
  • Track actual vs. predicted utilization to calibrate your efficiency factor
  • Include non-project work (meetings, support, admin) — it's usually 20-30% of capacity
  • Don't plan above 80% utilization. The remaining 20% isn't slack, it's where real work happens.

Go Deeper

Your capacity model is one piece of operational planning. For full business context packs covering finance, operations, and growth strategy across 10 industries:

→ AfrexAI Context Packs — $47 each, built by operators who've done the work.

→ AI Revenue Calculator — Find out where your business is leaking money (free tool).

→ Agent Setup Wizard — Get your AI agent configured for your specific business in 5 minutes.

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