Org Planning
OfficialAntropics' org-planning analyzes team structures, identifies bottlenecks, and suggests optimized workflows for improved organizational efficiency.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add anthropics/knowledge-work-plugins --skill org-planning -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
anthropics
Matched to the vendor's own GitHub organisation.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned anthropics/knowledge-work-plugins at da38ec1ee8.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- da38ec1ee8
- Scanned
- 1 file, 29 lines
About this skill
The org-planning skill enables AI agents to generate structured, hierarchical task lists compatible with Org-mode format, a popular plain-text knowledge management system. It transforms complex project requirements into actionable items with defined priorities and dependencies, streamlining workflow organization for teams using Emacs or similar environments.
When to use it
- You need to convert unstructured meeting notes or brainstorming sessions into a formal, executable task list.
- Your team relies on Org-mode files for tracking progress, scheduling, and managing project timelines within Emacs.
- You require an AI agent to break down high-level strategic goals into granular, step-by-step action items with clear ownership.
Key capabilities
- Generates valid Org-mode syntax including headers, properties, and hierarchical indentation.
- Structures tasks by priority levels (e.g., TODO, DONE, SCHEDULED) to facilitate immediate execution.
- Organizes complex information into nested lists for better readability and logical flow.
Example prompts
- "Convert these meeting notes about the Q4 marketing strategy into a prioritized Org-mode task list."
- "Create a hierarchical project plan in Org-mode format for launching a new software feature, including subtasks for design, development, and testing."
- "Break down this research paper's abstract into an actionable Org-mode checklist with specific steps for data analysis and writing."
Tips & gotchas
Ensure your AI agent has access to the target project context or requirements before generating the plan, as Org-mode relies heavily on accurate metadata. Familiarize yourself with basic Org-mode syntax (like * for headers and - for lists) to effectively integrate the generated output into your existing workflow tools.