Capacity Plan logo

Capacity Plan

OrganizationPopular
anthropics
capacity-plan

Plan resource capacity — workload analysis and utilization forecasting. Use when heading into quarterly planning, the team feels overallocated and you need the numbers, deciding whether to hire or deprioritize, or stress-testing whether upcoming projects fit the people you have.

Overview

Publisheranthropics
Repositoryknowledge-work-plugins
Skill namecapacity-plan
Stars
25.9K
Forks
3K
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by anthropics on GitHub. Read the source before you install it.

Installation

Install the Capacity Plan AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/anthropics/knowledge-work-plugins/tree/main/operations/skills/capacity-plan
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/anthropics/knowledge-work-plugins.git /tmp/knowledge-work-plugins
mkdir -p .claude/skills
cp -r /tmp/knowledge-work-plugins/operations/skills/capacity-plan .claude/skills/capacity-plan
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Capacity Plan in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Capacity Plan on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Capacity Plan is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

/capacity-plan

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

Analyze team capacity and plan resource allocation.

Usage

/capacity-plan $ARGUMENTS

What I Need From You

  • Team size and roles: Who do you have?
  • Current workload: What are they working on? (Upload from project tracker or describe)
  • Upcoming work: What's coming next quarter?
  • Constraints: Budget, hiring timeline, skill requirements

Planning Dimensions

People

  • Available headcount and skills
  • Current allocation and utilization
  • Planned hires and timeline
  • Contractor and vendor capacity

Budget

  • Operating budget by category
  • Project-specific budgets
  • Variance tracking
  • Forecast vs. actual

Time

  • Project timelines and dependencies
  • Critical path analysis
  • Buffer and contingency planning
  • Deadline management

Utilization Targets

Role TypeTarget UtilizationNotes
IC / Specialist75-80%Leave room for reactive work and growth
Manager60-70%Management overhead, meetings, 1:1s
On-call / Support50-60%Interrupt-driven work is unpredictable

Common Pitfalls

  • Planning to 100% utilization (no buffer for surprises)
  • Ignoring meeting load and context-switching costs
  • Not accounting for vacation, holidays, and sick time
  • Treating all hours as equal (creative work ≠ admin work)

Output

markdown
## Capacity Plan: [Team/Project]
**Period:** [Date range] | **Team Size:** [X]

### Current Utilization
| Person/Role | Capacity | Allocated | Available | Utilization |
|-------------|----------|-----------|-----------|-------------|
| [Name/Role] | [hrs/wk] | [hrs/wk] | [hrs/wk] | [X]% |

### Capacity Summary
- **Total capacity**: [X] hours/week
- **Currently allocated**: [X] hours/week ([X]%)
- **Available**: [X] hours/week ([X]%)
- **Overallocated**: [X people above 100%]

### Upcoming Demand
| Project/Initiative | Start | End | Resources Needed | Gap |
|--------------------|-------|-----|-----------------|-----|
| [Project] | [Date] | [Date] | [X FTEs] | [Covered/Gap] |

### Bottlenecks
- [Skill or role that's oversubscribed]
- [Time period with a crunch]

### Recommendations
1. [Hire / Contract / Reprioritize / Delay]
2. [Specific action]

### Scenarios
| Scenario | Outcome |
|----------|---------|
| Do nothing | [What happens] |
| Hire [X] | [What changes] |
| Deprioritize [Y] | [What frees up] |

If Connectors Available

If ~~project tracker is connected:

  • Pull current workload and ticket assignments automatically
  • Show upcoming sprint or quarter commitments per person

If ~~calendar is connected:

  • Factor in PTO, holidays, and recurring meeting load
  • Calculate actual available hours per person

Tips

  1. Include all work — BAU, projects, support, meetings. People aren't 100% available for project work.
  2. Plan for buffer — Target 80% utilization. 100% means no room for surprises.
  3. Update regularly — Capacity plans go stale fast. Review monthly.

Frequently asked questions

What does the Capacity Plan AI skill do?

Plan resource capacity — workload analysis and utilization forecasting. Use when heading into quarterly planning, the team feels overallocated and you need the numbers, deciding whether to hire or deprioritize, or stress-testing whether upcoming projects fit the people you have.

Why use Capacity Plan on TypingMind?

Because you install it once and use it with any model. Capacity Plan is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Capacity Plan in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/anthropics/knowledge-work-plugins/tree/main/operations/skills/capacity-plan. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Capacity Plan?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Capacity Plan?

As many as you like. As long as a model supports skills, you can use Capacity Plan with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Capacity Plan AI skill free?

Yes. It is published on GitHub by anthropics under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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