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agency-os

Run your work like an AI agency, from a single Notion board. Ships as a Claude Code plugin and an MCP server — runs in Cursor/Cline/any MCP host.

Install / Use

claude mcp add AutomateLab-tech -- npx -y github:AutomateLab-tech/agency-os

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

67/100

Category

Automation

Supported Platforms

Claude Code
Claude Desktop
Cursor
Cline

Our assessment of agency-os

agency-os scores 67/100 on our quality scale, 440th of 647 Automation skills we index.

Its MCP Server is 5.0 KB long, well organised into 8 sections and no code examples: a solid amount of guidance for an agent.

It has 3 GitHub stars, so there is little community track record yet; judge it on its content.

Substance
26/30
Structure
13/20
Description
15/15
Adoption
3/20
Freshness
11/15

Maintenance, license and trust

  • The repository was last updated about 4 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 90/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

agency-os compared with similar skills

All 4 of these similar skills score higher than agency-os; compare them before choosing.

SkillScoreStarsUpdatedFormat
agency-os (this skill)by AutomateLab-tech6734mo agoMCP Server
Agent-Reachby Panniantong10085.0k8d agoCLAUDE.md
headroomby headroomlabs-ai10073.6ktodayCLAUDE.md
rufloby ruvnet10073.1ktodayCLAUDE.md
CowAgentby zhayujie10047.1ktodayCLAUDE.md

Frequently asked questions

How do I install agency-os?
Run claude mcp add AutomateLab-tech -- npx -y github:AutomateLab-tech/agency-os. The install tabs above show the steps for each supported agent.
Which AI agents does agency-os work with?
It is written for Claude Code, Claude Desktop, Cursor and Cline, as a MCP Server file. Other agents that read the same format can often use it too.
Is agency-os safe to use?
It is MIT-licensed and scores 90/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is agency-os still maintained?
The repository was last updated about 4 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.

agency-os

A visual workflow board for working with AI. Structure ideas into tasks, stay in control of what ships.

MIT License


What it is

agency-os turns Notion into the dashboard of your own AI agency. You talk through ideas with the agent. It pushes back, clarifies scope, breaks the work into tasks and subtasks with the right hierarchy and dependencies, and writes it all into Notion. You approve. Agents then pick up the work and ship it - jobs, submissions, drafts, reports - with result links back on the row.

It's for founders, makers, solo operators, and teams who want their AI tools to actually ship things, not just talk about them.

Read the launch post with examples and illustrations


What you get

  • Structure over noise. AI ideas land as Suggestions, not commands. Discuss, scope, and approve before anything runs. The board is the source of truth; work has shape and status.
  • One visual board for everything. Ideas, tasks, decisions, finished work - all in a single Notion view with a clear status flow. No chasing TODOs across Slack, docs, and twelve open tabs.
  • You stay in control of execution. Nothing dispatches autonomously. Every run is operator-gated. Agents only touch rows you've explicitly marked Exec=Agent; the board is honest about what's queued, what's blocked, and why.
  • The agent plans with you, not at you. Talk through an idea in plain English. The agent asks clarifying questions, carves it into tasks and subtasks, sets dependencies. You stop being the project manager.
  • The board stays organised. Before adding any task, the skill checks whether it belongs under an active initiative and surfaces the match. /agency-os tree shows the full hierarchy at a glance. Accidental flat lists of unrelated top-level rows are caught before they land.
  • Agents do the mechanical parts. Once a task is approved with Exec=Agent, an AI handles it end-to-end: form fills, draft posts, directory submissions, log-and-close work. Result links come back on the row.
  • Dependencies just work. Tasks that block other tasks run in order. The queue won't fire something whose prereq isn't done.
  • Right model for the job (side benefit, not the point). Mechanical work runs on fast, cheap models; heavy thinking goes to bigger ones. You don't pay flagship rates for clerical tasks.

How it works (30 seconds)

  1. Suggest an idea. The skill checks whether it belongs under an existing initiative before creating anything — no accidental root-level clutter.
  2. Discuss with the agent. It asks clarifying questions, then writes out subtasks and dependencies on the row.
  3. Approve when you're ready. The task and its subtasks move to To-Do.
  4. Run. Agents pick up Exec=Agent rows, work in parallel (respecting dependencies), and close them with result links.

Use /agency-os tree any time to see the full hierarchy at a glance.

That's the whole loop. The board is the source of truth; the agent is just an executor.


1-minute setup

  1. Install agency-os in your harness (see the table below).
  2. Create a Notion integration at https://www.notion.so/my-integrations and share it with your workspace (or a specific parent page).
  3. Drop the token in .env: NOTION_KEY=secret_... (or configure in your harness's MCP settings).
  4. If using Cursor, Cline, Continue, or a generic agent: run /agency-os init to configure which models to use for easy/med/hard tasks. (Claude Code handles this automatically.)
  5. Run /agency-os scaffold (or /agency-os scaffold --parent=<page-id> if the integration is scoped to a specific page).

That's it. Scaffold builds the Hub, Tasks database, corpus pages, and all linked views in Notion. No template to duplicate.


Install

agency-os ships as a Claude Code plugin and as a portable skill spec for every other harness. The core contract (skills/agency-os/SKILL.md) is the same everywhere; only the wrapper changes.

| Harness | Format | Setup | |---|---|---| | Claude Code | Plugin | /plugin install ratamaha-git/agency-os | | Cursor | Skill / rules | docs/harnesses/cursor.md | | Cline / Continue | Custom instructions | docs/harnesses/cline.md | | Any MCP-capable agent | Generic spec | docs/harnesses/generic.md |

All variants talk to Notion through the same MCP server, so your data and commands stay portable. Model selection (which models run which tasks) is configured via /agency-os init on non-Claude harnesses; Claude Code handles it automatically.


Docs


License

MIT - see LICENSE.


Built by AutomateLab.

Related Skills

View on GitHub
GitHub Stars3
CategoryAutomation
Updated3mo ago
Forks4

Languages

Python

Trust signals

90/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

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