據 AlphaMoat 統計,截至 2026-09,Manus 累計下載 3,335 次、獲 4 個星標,在全部 5,078 個 AI 技能中排名第 3,390 位,在「AI 智慧體」分類(969 個)中排名第 691 位。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 101 | 3107 | 4 | - |
| SkillHub ↗ | 101 | 3335 | 4 | — |
各平台的計數口徑不同,統計時間不一致。
任務提示詞會傳送到遠端 agent;工作流還可以建立可分享連結並將生成檔案下載到本地。分享連結可能暴露任務上下文,遠端檔案也不能預設可信。避擴音交敏感材料;下載後先檢查檔案,再開啟、執行或分享。
資料釋出於 2026-10-29
以下是根據技能文件生成的示例,不代表實際執行結果。
2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-09 | 3335 | — | 4 |
| 2026-08 | 3067 | +4.2% | 4 |
| 2026-07 | 2942 | +9.1% | 4 |
| 2026-06 | 2697 | +4.7% | 4 |
| 2026-05 | 2576 | — | 4 |
| 2026-03 | 2109 | — | 4 |
以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 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
將開發過程中的經驗、錯誤與修正記錄為 Markdown 檔案,供日後重用並提升為工作區記憶。
用自然語言描述需求,在本機與遠端技能市場尋找技能並取得推薦。
給 AI agent 用的瀏覽器自動化命令列技能。
將使用者明確糾正與自我檢視整理成分層記憶,並依使用情況升級或封存。
在安裝第三方技能之前,按清單審查來源、許可權與危險模式的技能。
將代理記憶與跨技能狀態整理成具型別與約束的知識圖譜。
規劃 AI 代理主動跟進、工作記憶與回顧流程的工作區設定指南。
指導如何建立與更新有效 Claude 技能的寫作指南。
資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。