Chalk Labs
Need help deploying openclaw-media-gen?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/kbarbel640-del-openclaw-media-gen
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: backend
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions: not checked yet.
What's inside
- Skill name
openclaw-media-gen- Description
- Generate images & videos with AIsa. Gemini 3 Pro Image (image) + Qwen Wan 2.6 (video) via one API key.
- License
- MIT
- Instructions
- 124 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
- Instructions call the network
Agent Skills spec issues
- name: "openclaw-media-gen" does not match folder "openclaw-aisa-image-video-models-wan2-6-gemini-3-pro-image-nano-banana"
Files (4)
- README.md
- SKILL.md
- _meta.json
- media_gen_client.py · scripts/
SKILL.md (first lines)
# OpenClaw Media Gen 🎬
用 AIsa API 一把钥匙生成**图片**与**视频**:
- **图片**:`gemini-3-pro-image-preview`(Gemini GenerateContent)
- **视频**:`wan2.6-t2v`(通义万相 / Qwen Wan 2.6,异步任务)
API 文档索引见 [AIsa API Reference](https://aisa.mintlify.app/api-reference/introduction)(可从 `https://aisa.mintlify.app/llms.txt` 找到所有页面)。
## 🔥 你可以做什么
### 图片生成(Gemini)
```
"生成一张赛博朋克风格的城市夜景,霓虹灯,雨夜,电影感"
```
### 视频生成(Wan 2.6)
```
"用一张参考图生成 5 秒镜头:镜头缓慢推进,风吹动头发,电影感,浅景深"
```
## Quick Start
```bash
export AISA_API_KEY="your-key"
```
---
## 🖼️ Image Generation (Gemini)
### Endpoint
- Base URL: `https://api.aisa.one/v1`
- `POST /models/{model}:generateContent`
文档:`google-gemini-chat`(GenerateContent)见 `https://aisa.mintlify.app/api-reference/chat/chat-api/google-gemini-chat.md`。
### curl 示例(返回 inline_data 时为图片)
```bash
curl -X POST "https://api.aisa.one/v1/models/gemini-3-pro-image-preview:generateContent" \
-H "Authorization: Bearer $AISA_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"contents":[
{"role":"user","parts":[{"text":"A cute red panda, ultra-detailed, cinematic lighting"}]}
]
}'
```
> 说明:该接口的响应中可能出现 `candidates[].parts[].inline_data`(通常包含 base64 数据与 mime 类型);客户端脚本会自动解析并保存文件。
---
## 🎞️ Video Generation (Qwen Wan 2.6 / Tongyi Wanxiang)
### Create task
- Base URL: `https://api.aisa.one/apis/v1`
- `POST /services/aigc/video-generation/video-synthesis`
- Header:`X-DashScope-Async: enable`(必填,异步)
文档:`video-generation` 见 `https://aisa.mintlify.app/api-reference/aliyun/video/video-generation.md`。
```bash
curl -X POST "https://api.aisa.one/apis/v1/services/aigc/video-generation/video-synthesis" \
-H "Authorization: Bearer $AISA_API_KEY" \
-H "Content-Type: application/json" \
-H "X-DashScope-Async: enable" \
-d '{
"model":"wan2.6-t2v",
"input":{
"prompt":"cinematic close-up, slow push-in, shallow depth of field",
"img_url":"https://upload.wikimedia.org/wikipedia/commons/thumb/3/3a/Cat03.jpg/320px-Cat03.jpg"
},
"parameters":{
"resolution":"720P",
"duration":5,
"shot_type":"single",
"watermark":false
}
}'
```
### Poll task
- `GET /services/aigc/tasks?task_id=...`
文档:`task` 见 `https://aisa.mintlify.app/api-reference/aliyun/video/task.md`。
```bash
curl "https://api.aisa.one/apis/v1/services/aigc/tasks?task_id=YOUR_TASK_ID" \
-H "Authorization: Bearer $AISA_API_KEY"
```
---
## Python Client
```bash
# 生成图片(保存到本地文件)
python3 {baseDir}/scripts/media_gen_client.py image \
--prompt "A cute red panda, cinematic lighting" \
--out "out.png"
# 创建视频任务(需要 img_url)
python3 {baseDir}/scripts/media_gen_client.py video-create \
--prompt "cinematic close-up, slow push-in" \
--img-url "https://upload.wikimedia.org/wikipedia/commons/thumb/3/3a/Cat03.jpg/320px-Cat03.jpg" \
--duration 5
# 轮询任务状态
python3 {baseDir}/scripts/media_gen_client.py video-status --task-id YOUR_TASK_ID
# 等待直到成功(可选:成功后打印 video_url)
python3 {baseDir}/scripts/media_gen_client.py video-wait --task-id YOUR_TASK_ID --poll 10 --timeout 600
# 等待直到成功并自动下载 mp4From kbarbel640-del/skills, MIT.
Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 1
- Last commit (this folder)
- Feb 6, 2026 (9 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/kbarbel640-del/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
More from kbarbel640-del
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get openclaw-media-gen running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
openclaw-media-gen skill. Agent Mart. https://agentmart.dev/skills/kbarbel640-del-openclaw-media-gen (last updated 2026-10-24)