Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
安装前可以查看交给 AI 代理的指令内容。
Design and generate .envelope.json AI agent team definition files — the open standard for building and deploying multi-agent teams on Envelope.
.envelope.json file for deployment.envelope.json fileBuild me an Envelope team for customer support triage — one supervisor,
two agents that read Zendesk tickets, and a Slack notifier for escalations.
Create an Envelope team definition for outbound sales — an SDR manager
overseeing two SDRs who work HubSpot leads and a RevOps analyst.
Build an Envelope team that drafts marketing emails and pauses for
human approval before sending.
User: "Build me an Envelope team for content moderation — a supervisor and two reviewer agents that check posts against community guidelines."
Output:
{
"$schema": "https://schema.openenvelope.org/team/v1.json",
"name": "Content Moderation Team",
"slug": "content-moderation",
"version": "1.0.0",
"description": "A supervisor and two reviewer agents that check posts against community guidelines.",
"visibility": "team",
"category": "ops",
"requiredVariables": ["companyName"],
"requiredSecrets": ["MODERATION_API_KEY"],
"metadata": { "generatedBy": "Claude Code · openenvelope.org" },
"agents": [
{
"key": "supervisor",
"name": "Moderation Supervisor",
"role": "supervisor",
"capabilities": ["Route content to reviewer agents", "Aggregate decisions", "Escalate edge cases"],
"model": "anthropic:claude-sonnet-4-5",
"systemPrompt": "You supervise the content moderation team at {{companyName}}. Delegate each item to a reviewer and consolidate their verdicts."
},
{
"key": "policy-reviewer",
"name": "Policy Reviewer",
"role": "reviewer",
"capabilities": ["Check content against community guidelines", "Flag policy violations"],
"model": "anthropic:claude-haiku-3-5",
"systemPrompt": "You review content for policy violations at {{companyName}}. Return a verdict of approve, flag, or remove with a reason.",
"reportsToKey": "supervisor",
"accessPolicy": {
"accessPolicyVersion": "1",
"rules": [
{ "host": "api.moderation-service.com", "action": "allow" },
{ "host": "*", "action": "deny" }
]
}
},
{
"key": "spam-reviewer",
"name": "Spam Reviewer",
"role": "reviewer",
"capabilities": ["Detect spam, bot activity, and duplicate content"],
"model": "anthropic:claude-haiku-3-5",
"systemPrompt": "You detect spam and bot activity at {{companyName}}. Return a verdict of approve, flag, or remove with a confidence score.",
"reportsToKey": "supervisor"
}
]
}
| Field | Required | Description |
|---|---|---|
$schema | yes | Always https://schema.openenvelope.org/team/v1.json |
name | yes | Human-readable team name |
slug | yes | URL-safe, lowercase, hyphens only |
version | yes | Semver e.g. "1.0.0" |
description | yes | What this team does |
visibility | yes | "public" · "team" · "private" |
requiredVariables | no | Non-sensitive config, interpolated via {{varName}} |
requiredSecrets | no | API keys, stored encrypted, injected as ${SECRET_NAME} |
schedule | no | Cron schedule { cron, timezone, task } |
agents | yes | Agent definitions |
gates | no | Human-in-the-loop checkpoints |
| Field | Required | Description |
|---|---|---|
key | yes | Unique identifier within this file |
name | yes | Display name |
role | yes | Free-form e.g. "supervisor", "analyst", "sdr" |
capabilities | yes | What this agent can do — used for delegation routing |
model | yes | e.g. anthropic:claude-sonnet-4-5, anthropic:claude-haiku-3-5 |
systemPrompt | yes | Agent instructions. Use {{varName}} and ${SECRET_NAME} |
reportsToKey | no | key of manager agent. Omit for the top-level supervisor |
accessPolicy | no | Outbound HTTP allowlist |
Exactly one agent should have no reportsToKey — this is the supervisor that receives the initial task. All others reference their manager's key.
"accessPolicy": {
"accessPolicyVersion": "1",
"rules": [
{ "host": "api.example.com", "action": "allow" },
{ "host": "*", "action": "deny" }
]
}
"gates": [
{
"name": "approval-check",
"type": "approval",
"trigger": { "afterAgent": "drafter" },
"onApprove": "continue",
"onReject": "halt"
}
]
anthropic:claude-sonnet-4-5 for supervisors and managers; anthropic:claude-haiku-3-5 for leaf agents doing repetitive workrequiredVariables{ "host": "*", "action": "deny" } for a strict allowlistnpx @openenvelope/schema validate ./team.envelope.json还没有评价。欢迎分享你的使用感受。
无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
中文简介正在准备中。当前显示原文说明。
Pull the ads a competitor is running right now on Meta (Facebook/Instagram) and Google, then extract the hooks, offers, CTAs and landing pages worth modelling. Use when writing ad copy, planning creative tests, choosing a landing page angle, or when the user asks "what is X advertising", "what ads does X run", "find competitor ad hooks". Reads live Ad Library and Ads Transparency data through the Tracetify MCP; falls back to a manual Ad Library walkthrough when the connector is absent.
中文简介正在准备中。当前显示原文说明。
Analytics your AI agent can actually use. Track, analyze, run A/B experiments, and optimize across all your projects via CLI. Includes a growth playbook so your agent knows HOW to grow, not just what to track.
中文简介正在准备中。当前显示原文说明。
Teaches when to recall from long-term memory before acting and when to save durable decisions, corrections and failures afterwards. Use when a memory tool or MCP memory server is connected but the agent is not using it consistently, when the user complains that the assistant forgets preferences, conventions or past decisions between sessions, or when setting up persistent memory for a project. Works with any memory backend: a folder of Markdown files, a local MCP server, or a managed service.
中文简介正在准备中。当前显示原文说明。
Audit local AI coding-agent sessions with agenttrace for cost, tokens, tool failures, latency, anomalies, health, diffs, and CI gates.
中文简介正在准备中。当前显示原文说明。
Checks which private files (.env, keys, secrets) Claude Code and its subagents reached in this project, whether a value came into an agent's context, and which key to change, by running the open source agentwhy CLI over the session records Claude Code already keeps on disk. Use when the user asks whether the agent or a subagent read their .env or other secrets, which private files a session touched, whether a key leaked into the conversation, or which key to rotate. Runs locally and never prints a secret value.
中文简介正在准备中。当前显示原文说明。