org-planning

org-planning is a skill for Claude Code from anthropics/knowledge-work-plugins. It costs 59 tokens per session (297 once invoked), scanned A, original, Apache-2.0.

An organisational planning tool for deciding how many people and teams are needed, how they should report and when hiring should happen.

In plain words
What is it for?
Creating headcount plans, cost models, text-based organisation charts and sequenced hiring roadmaps.
Why use it?
It helps reveal staffing gaps, unclear team boundaries, excessive management layers and hiring trade-offs.

Skill for Claude Code ✓ vendor

Written for Claude Code: shipped in a Claude Code plugin.

Part of the human-resources plugin — 9 skills shipped together

Good fit Creating headcount plans, cost models, text-based organisation charts and sequenced hiring roadmaps.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/anthropics/knowledge-work-plugins/org-planning
About the project

Knowledge Work Plugins is an open-source collection of Claude extensions organized around roles such as productivity, sales, and customer support. Each plugin combines role-specific guidance, connectors, commands, and sub-agents so knowledge workers can use Claude with their team’s tools and processes. The catalogue entries are examples of, or workflows from, this plugin collection.

anthropics/knowledge-work-plugins · 23,911 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add anthropics/knowledge-work-plugins --skill org-planning
Clone the repo
git clone --depth 1 https://github.com/anthropics/knowledge-work-plugins

Made for: Claude Code.

Or install human-resources, the plugin that ships this one along with the rest of its 9 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for org-planning

README.md
[![agentmods](https://agentmods.dev/badge/skills/anthropics/knowledge-work-plugins/org-planning.svg)](https://agentmods.dev/skills/anthropics/knowledge-work-plugins/org-planning)
Your own site
<a href="https://agentmods.dev/skills/anthropics/knowledge-work-plugins/org-planning"><img src="https://agentmods.dev/badge/skills/anthropics/knowledge-work-plugins/org-planning.svg" alt="Measured on agentmods" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 297 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 18 Mar 2026
  • Snyk pass 24 Feb 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00059 $0.00297
Opus 5 $0.00030 $0.00148
Sonnet 5 $0.00012 $0.00059
Haiku 4.5 $0.00006 $0.00030

Measured 3d ago against content hash b3c6e33d2514, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

org-planning scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

human-resources/skills/org-planning/SKILL.md · 29 lines

What it actually says

Org Planning

Help plan organizational structure, headcount, and team design.

Planning Dimensions

  • Headcount: How many people do we need, in what roles, by when?
  • Structure: Reporting lines, span of control, team boundaries
  • Sequencing: Which hires are most critical? What's the right order?
  • Budget: Headcount cost modeling and trade-offs

Healthy Org Benchmarks

Metric Healthy Range Warning Sign
Span of control 5-8 direct reports < 3 or > 12
Management layers 4-6 for 500 people Too many = slow decisions
IC-to-manager ratio 6:1 to 10:1 < 4:1 = top-heavy
Team size 5-9 people < 4 = lonely, > 12 = hard to manage

Output

Produce org charts (text-based), headcount plans with cost modeling, and sequenced hiring roadmaps. Flag structural issues like single points of failure or excessive management overhead.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 29 lines · 59 tokens per session scan A b3c6e33d2514

Subscribe to this mod's changes

org-planning is a skill published in the GitHub repository anthropics/knowledge-work-plugins (23,911 stars, last pushed yesterday), licensed Apache-2.0. It adds 59 tokens to every session and 297 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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