sglang-diffusion-video
Generate videos using a local SGLang-Diffusion server (Wan2.2, Hunyuan, FastWan, etc.). Use when: user asks to generate, create, or render a video with a locally running SGLang-Diffusion instance. NOT for: cloud-hosted video APIs or image generation (use sglang-diffusion for images). Requires a running SGLang-Diffusion server with a video model loaded.
What this skill does
# SGLang-Diffusion Video Generation
Generate videos via a local SGLang-Diffusion server's OpenAI-compatible API.
Video generation is asynchronous and takes several minutes. The script handles
submission, polling, and download automatically.
## Prerequisites
- SGLang-Diffusion server running a video model (default: `http://127.0.0.1:30000`)
- Supported models: Wan2.2-T2V, Wan2.2-I2V, FastWan, Hunyuan
- If the server was started with `--api-key`, set `SGLANG_DIFFUSION_API_KEY` env var
## Generate a video
```bash
python3 {baseDir}/scripts/generate_video.py --prompt "a curious raccoon exploring a garden"
```
## Useful flags
```bash
python3 {baseDir}/scripts/generate_video.py --prompt "ocean waves at sunset" --size 1280x720
python3 {baseDir}/scripts/generate_video.py --prompt "city timelapse" --negative-prompt "blurry, low quality"
python3 {baseDir}/scripts/generate_video.py --prompt "dancing robot" --steps 50 --guidance-scale 7.5 --seed 42
python3 {baseDir}/scripts/generate_video.py --prompt "flying through clouds" --seconds 8 --fps 24 --out ./my-video.mp4
python3 {baseDir}/scripts/generate_video.py --prompt "flying through clouds" --server http://192.168.1.100:30000 --out ./my-video.mp4
python3 {baseDir}/scripts/generate_video.py --prompt "cat playing" --poll-interval 15 --timeout 1800
python3 {baseDir}/scripts/generate_video.py --prompt "animate this scene" --input-image /tmp/scene.png
```
## API key (optional)
Only needed if the SGLang-Diffusion server was started with `--api-key`.
Set `SGLANG_DIFFUSION_API_KEY`, or pass `--api-key` directly:
```bash
python3 {baseDir}/scripts/generate_video.py --prompt "hello" --api-key sk-my-key
```
Or configure in `~/.openclaw/openclaw.json`:
```json5
{
skills: {
"sglang-diffusion-video": {
env: { SGLANG_DIFFUSION_API_KEY: "sk-my-key" },
},
},
}
```
## Notes
- The script prints a `MEDIA:` line for OpenClaw to auto-attach on supported chat providers.
- Output defaults to timestamped MP4 in `/tmp/`.
- Video generation typically takes 5-15 minutes depending on GPU and model size.
- Do not read the video back; report the saved path only.Related in Image & Video
watch
IncludedWatch a video (URL or local path). Downloads with yt-dlp, extracts auto-scaled frames with ffmpeg, pulls the transcript from captions (or Whisper API fallback), and hands the result to Claude so it can answer questions about what's in the video.
physical-ai-defect-image-generation
IncludedUse when the user wants to orchestrate defect image generation, run associated setup, or handle outputs on OSMO. The Day 0 path handles cold-start with USD-to-ROI, image-edit augmentation, and AnomalyGen to create initial PCBA datasets. The Day 1 path performs inference and labeling on real images. This skill helps with first-time asset setup, creation of finetuning checkpoints, and configuring deployment. Trigger keywords: defect image generation, dig workflow, dig pipeline, defect image detection workflow, aoi pipeline, aoi anomalygen, usd2roi anomalygen, day 0 pcba, day 1 pcba, day 1 real-photo alignment, day 1 manual roi, metal surface anomaly, glass defect, anomalygen finetune, setup_pcb, setup_metal, setup_glass, setup_pretrained, dig setup, dig datasets, dig pretrained checkpoint, dig image-edit endpoint.
accelint-react-best-practices
IncludedReact performance optimization and best practices. ALWAYS use this skill when working with any React code - writing components, hooks, JSX; refactoring; optimizing re-renders, memoization, state management; reviewing for performance; fixing hydration mismatches; debugging infinite re-renders, stale closures, input focus loss, animations restarting; preventing remounting; implementing transitions, lazy initialization, effect dependencies. Even simple React tasks benefit from these patterns. Covers React 19+ (useEffectEvent, Activity, ref props). Triggers - useEffect, useState, useMemo, useCallback, memo, inline components, nested components, components inside components, re-render, performance, hydration, SSR, Next.js, useDeferredValue, combined hooks.
elevenlabs-agents
IncludedBuild conversational AI voice agents with ElevenLabs Platform using React, JavaScript, React Native, or Swift SDKs. Configure agents, tools (client/server/MCP), RAG knowledge bases, multi-voice, and Scribe real-time STT. Use when: building voice chat interfaces, implementing AI phone agents with Twilio, configuring agent workflows or tools, adding RAG knowledge bases, testing with CLI "agents as code", or troubleshooting deprecated @11labs packages, Android audio cutoff, CSP violations, dynamic variables, or WebRTC config. Keywords: ElevenLabs Agents, ElevenLabs voice agents, AI voice agents, conversational AI, @elevenlabs/react, @elevenlabs/client, @elevenlabs/react-native, @elevenlabs/elevenlabs-js, @elevenlabs/agents-cli, elevenlabs SDK, voice AI, TTS, text-to-speech, ASR, speech recognition, turn-taking model, WebRTC voice, WebSocket voice, ElevenLabs conversation, agent system prompt, agent tools, agent knowledge base, RAG voice agents, multi-voice agents, pronunciation dictionary, voice speed control, elevenlabs scribe, @11labs deprecated, Android audio cutoff, CSP violation elevenlabs, dynamic variables elevenlabs, case-sensitive tool names, webhook authentication
humanizer
IncludedHumanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 28 pattern detectors, 560+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content, language, style, communication, and filler categories.
generating-mermaid-diagrams
IncludedSalesforce architecture diagrams using Mermaid with ASCII fallback. Use this skill when generating text-based diagrams for Salesforce architecture, OAuth flows, ERDs, integration sequences, or Agentforce structure. TRIGGER when: user says "diagram", "visualize", "ERD", or asks for sequence diagrams, flowcharts, class diagrams, or architecture visualizations in Mermaid. DO NOT TRIGGER when: user wants PNG/SVG image output (use generating-visual-diagrams), or asks about non-Salesforce systems.