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1kalin

Capacity Planner

by 1kalin · GitHub ↗ · v1.0.0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install afrexai-capacity-planner
Description
Analyzes team size, workload, and pipeline data to forecast capacity, identify bottlenecks, and recommend actions 4-8 weeks before crises occur.
README (SKILL.md)

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 \x3C70% 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 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.

Usage Guidance
This skill appears coherent and low-risk: it only provides instructions for capacity planning and requests no credentials or installs. Before installing, consider: (1) what team/project data you'll share with the agent—avoid pasting secrets or sensitive PII; (2) the external links in the docs are marketing pages—verify them independently before paying; and (3) if you prefer to limit autonomous behavior, restrict model-invocation or agent permissions in your agent settings so the skill cannot be called without your approval.
Capability Analysis
Type: OpenClaw Skill Name: afrexai-capacity-planner Version: 1.0.0 The skill bundle provides instructions for an AI agent to perform capacity planning. All files (_meta.json, SKILL.md, README.md) are consistent with the stated purpose. SKILL.md contains detailed instructions for the agent's logic and output format, and there are no signs of prompt injection attempting to make the agent deviate from its purpose or perform malicious actions. The external links in SKILL.md and README.md are promotional and informational, pointing to related resources on `github.io` domains, and are not presented as commands for the agent to execute or data to exfiltrate. There is no evidence of data exfiltration, malicious execution, persistence, or obfuscation.
Capability Assessment
Purpose & Capability
The README and SKILL.md both describe a capacity-planning assistant (team/infrastructure modeling, scenario analysis, recommendations). There are no declared binaries, environment variables, or config paths that are unrelated to that purpose. The only minor issue is that the top-level description field is empty in the registry metadata, but the included files provide the expected functionality.
Instruction Scope
All runtime instructions are high-level workflow guidance (what to ask, what outputs to produce). The SKILL.md does not instruct the agent to read local files, access environment variables, call arbitrary endpoints, or exfiltrate data. Output format and scenario templates are scoped to capacity planning.
Install Mechanism
This is an instruction-only skill with no install spec and no code files — nothing is written to disk or downloaded. That is the lowest-risk install model.
Credentials
The skill declares no required environment variables, credentials, or config paths. There are no requests for keys, tokens, or unrelated service credentials — proportional to the described purpose.
Persistence & Privilege
Flags show default behavior (always: false, agent-invocable, model invocation allowed). The skill does not request permanent presence nor instruct modifications to other skills or system-wide settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install afrexai-capacity-planner
  3. After installation, invoke the skill by name or use /afrexai-capacity-planner
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of Capacity Planner skill. - Build forward-looking workload models based on team size, utilization, pipeline, and seasonal trends. - Automatically flag bottlenecks and risks 4-8 weeks in advance. - Output structured capacity snapshots, risk summaries, and actionable recommendations. - Includes built-in scenario modeling for hiring, project changes, and unexpected staff loss. - Provides clear utilization bands and key metrics to support data-driven planning.
Metadata
Slug afrexai-capacity-planner
Version 1.0.0
License
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Capacity Planner?

Analyzes team size, workload, and pipeline data to forecast capacity, identify bottlenecks, and recommend actions 4-8 weeks before crises occur. It is an AI Agent Skill for Claude Code / OpenClaw, with 744 downloads so far.

How do I install Capacity Planner?

Run "/install afrexai-capacity-planner" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Capacity Planner free?

Yes, Capacity Planner is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Capacity Planner support?

Capacity Planner is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Capacity Planner?

It is built and maintained by 1kalin (@1kalin); the current version is v1.0.0.

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