Agent skill · Design & Presentation

envelope-team

Design and generate .envelope.json AI agent team definitions — the open standard for multi-agent teams with hierarchy, access policies, human-in-the-loop gates, and cron schedules.

davepoongithub.com/davepoonGitHub ↗
claude-codeMIT
Install
npx skills add davepoon/buildwithclaude --skill envelope-team --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 6 KB
Bundled scripts: none
Path: plugins/all-skills/skills/envelope-team/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,251
Language: TypeScript
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Envelope Team Design and generate `.envelope.json` AI agent team definition files — the open standard for building and deploying multi-agent teams on [Envelope](https://openenvelope.org). ## When to Use This Skill - User asks to build, design, or generate an Envelope team - User describes a workflow that could be automated by a team of AI agents - User wants to create a `.envelope.json` file for

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About this skill
What does the envelope-team skill do?

Design and generate .envelope.json AI agent team definitions — the open standard for multi-agent teams with hierarchy, access policies, human-in-the-loop gates, and cron schedules.

How do I install it?

Run `npx skills add davepoon/buildwithclaude --skill envelope-team --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From davepoon/buildwithclaude, a repository with 3,251 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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