用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/duclm1x1/Dive-Ai --skill openclaw-media-gen命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
正在显示 SKILL.md
| name | openclaw-media-gen |
| description | Generate images & videos with AIsa. Gemini 3 Pro Image (image) + Qwen Wan 2.6 (video) via one API key. |
| homepage | https://openclaw.ai |
| metadata | {"openclaw":{"emoji":"🎬","requires":{"bins":["python3","curl"],"env":["AISA_API_KEY"]},"primaryEnv":"AISA_API_KEY"}} |
用 AIsa API 一把钥匙生成图片与视频:
gemini-3-pro-image-preview(Gemini GenerateContent)wan2.6-t2v(通义万相 / Qwen Wan 2.6,异步任务)API 文档索引见 AIsa API Reference(可从 https://aisa.mintlify.app/llms.txt 找到所有页面)。
"生成一张赛博朋克风格的城市夜景,霓虹灯,雨夜,电影感"
"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"
export AISA_API_KEY="your-key"
https://api.aisa.one/v1POST /models/{model}:generateContent文档:google-gemini-chat(GenerateContent)见 https://aisa.mintlify.app/api-reference/chat/chat-api/google-gemini-chat.md。
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。
https://api.aisa.one/apis/v1POST /services/aigc/video-generation/video-synthesisX-DashScope-Async: enable(必填,异步)文档:video-generation 见 https://aisa.mintlify.app/api-reference/aliyun/video/video-generation.md。
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
}
}'
GET /services/aigc/tasks?task_id=...文档:task 见 https://aisa.mintlify.app/api-reference/aliyun/video/task.md。
curl "https://api.aisa.one/apis/v1/services/aigc/tasks?task_id=YOUR_TASK_ID" \
-H "Authorization: Bearer $AISA_API_KEY"
# 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 mp4
python3 {baseDir}/scripts/media_gen_client.py video-wait --task-id YOUR_TASK_ID --download --out out.mp4
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.