据 AlphaMoat 统计,截至 2026-09,Manus 累计下载 3,335 次、获 4 个星标,在全部 5,078 个 AI 技能中排名第 3,390 位,在「AI 智能体」分类(969 个)中排名第 691 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 101 | 3,107 | 4 | - |
| SkillHub ↗ | 101 | 3,335 | 4 | — |
各平台的计数口径不同,统计时间不一致。
任务提示词会发送到远程 agent;工作流还可以创建可分享链接并将生成文件下载到本地。分享链接可能暴露任务上下文,远程文件也不能默认可信。避免提交敏感材料;下载后先检查文件,再打开、执行或分享。
资料发布于 2026-10-29
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-09 | 3,335 | — | 4 |
| 2026-08 | 3,067 | +4.2% | 4 |
| 2026-07 | 2,942 | +9.1% | 4 |
| 2026-06 | 2,697 | +4.7% | 4 |
| 2026-05 | 2,576 | — | 4 |
| 2026-03 | 2,109 | — | 4 |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。
--- name: manus version: "1.1.0" description: Create and manage AI agent tasks via Manus API. Manus 1.5 autonomously browses the web, uses tools, and delivers complete work products. Cost-efficient Manus-1.5-Lite available. author: mvanhorn license: MIT repository: https://github.com/mvanhorn/clawdbot-skill-manus homepage: https://manus.im metadata: openclaw:
emoji: "🤖"
requires:
env:
- MANUS_API_KEY
primaryEnv: MANUS_API_KEY
tags:
- agent
- automation
- manus
- web-browsing
---
# Manus AI Agent
Use the Manus API to create autonomous AI tasks. Manus can browse the web, use tools, and deliver complete results (reports, code, presentations, etc.).
## API Base
`https://api.manus.ai/v1`
## Authentication
Header: `API_KEY: <your-key>`
Set via:
- `MANUS_API_KEY` env var
- Or `skills.manus.apiKey` in openclaw config
## Recommended Workflow
When using Manus for tasks that produce files (slides, reports, etc.):
1. **Create the task** with `createShareableLink: true`
2. **Poll for completion** using the task_id
3. **Extract output files** from the response and download them locally
4. **Deliver to user** via direct file attachment (don't rely on manus.im share links)
## Create a Task
```bash
curl -X POST "https://api.manus.ai/v1/tasks" \
-H "API_KEY: $MANUS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "Your task description here",
"agentProfile": "manus-1.6",
"taskMode": "agent",
"createShareableLink": true
}'
```
Response:
```json
{
"task_id": "abc123",
"task_title": "Task Title",
"task_url": "https://manus.im/app/abc123"
}
```
## Agent Profiles
| Profile | Description | Use for |
|---------|-------------|---------|
| `manus-1.6` | Standard (default) | Most tasks |
| `manus-1.6-lite` | Faster, lighter | Quick/simple stuff |
| `manus-1.6-max` | Complex, thorough | Deep research/analysis |
**Default:** Always use `manus-1.6` unless user specifies otherwise.
## Task Modes
| Mode | Description |
|------|-------------|
| `chat` | Conversational mode |
| `adaptive` | Auto-selects best approach |
| `agent` | Full autonomous agent mode (recommended for file creation) |
## Get Task Status & Output
```bash
curl "https://api.manus.ai/v1/tasks/{task_id}" \
-H "API_KEY: $MANUS_API_KEY"
```
Status values: `pending`, `running`, `completed`, `failed`
**Important:** When status is `completed`, check the `output` array for files:
- Look for `type: "output_file"` entries
- Download files from `fileUrl` directly
- Save locally and send to user as attachments
## Extracting Output Files
The task response includes output like:
```json
{
"output": [
{
"content": [
{
"type": "output_file",
"fileUrl": "https://private-us-east-1.manuscdn.com/...",
"fileName": "presentation.pdf"
}
]
}
]
}
```
Download these files with curl and deliver directly to the user rather than relying on share URLs.
## List Tasks
```bash
curl "https://api.manus.ai/v1/tasks" \
-H "API_KEY: $MANUS_API_KEY"
```
## Best Practices
1. **Always poll for completion** before telling user the task is done
2. **Download output files locally** instead of giving manus.im links (they can be unreliable)
3. **Use `agent` mode** for tasks that create files/documents
4. **Set reasonable expectations** — Manus tasks can take 2-10+ minutes for complex work
## Docs
- API Reference: https://open.manus.ai/docs
- Main Docs: https://manus.im/docs
把开发过程中的经验、错误与纠正记录为 Markdown 文件,供后续复用并晋升为工作区记忆。
用自然语言描述需求,在本地与远程技能市场里找技能并给出推荐的技能。
给 AI agent 用的浏览器自动化命令行技能。
把用户纠正与自我复盘沉淀成分层记忆、并按使用情况升降级的技能。
在安装第三方技能之前,按清单审查来源、权限与危险模式的技能。
把 agent 的记忆与跨技能状态存成带类型和约束的知识图谱的技能。
一份为 AI 代理规划主动跟进、工作记忆与复盘流程的工作区配置指南。
指导如何创建与更新有效 Claude 技能的写作指南。
数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。