manus
Create and manage AI agent tasks via Manus API. Manus is an autonomous AI agent that can browse the web, use tools, and deliver complete work products.
What this skill does
# 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 clawdbot 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
Related in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.