47network/video-generator
skills/design/video-generator/SKILL.md
Create videos programmatically — marketing videos, data visualizations, social media content, tutorials, and brand videos using ffmpeg-based rendering with declarative JSON composition specs.
$ install --global
skillsauthnpx skillsauth add 47network/Sven video-generatorInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 23, 2026, 5:58 PM72.1s2 files scanned
SKILL.md
- name:
- video-generator
- description:
- Create videos programmatically — marketing videos, data visualizations, social media content, tutorials, and brand videos using ffmpeg-based rendering with declarative JSON composition specs.
- version:
- 1.0.0
- publisher:
- acmecorp
- handler_language:
- typescript
- handler_file:
- handler.ts
- inputs_schema:
- {"type":"object","properties":{"action":{"type":"string","enum":["create_video","list_templates","render","get_status","cancel","preview","get_stats"],"default":"list_templates"},"description":{"type":"string","description":"Natural language description of the video to create (for create_video action)"},"template":{"type":"string","enum":["social_media","data_dashboard","product_showcase","tutorial","brand"],"description":"Pre-built template domain to use"},"aspect_ratio":{"type":"string","enum":["16:9","9:16","1:1","4:3"],"default":"16:9"},"spec":{"type":"object","description":"Full VideoSpec JSON override (optional, for advanced users)"},"job_id":{"type":"string","description":"Render job ID (for get_status, cancel actions)"},"org_id":{"type":"string","description":"Organization ID"},"user_id":{"type":"string","description":"User ID"}},"required":["action"],"additionalProperties":false}
- outputs_schema:
- {"type":"object","properties":{"action":{"type":"string"},"result":{"type":"object"}},"required":["action","result"]}
- when-to-use:
- Use when the user wants to create a video, generate video content, make a social media clip, build a data visualization animation, produce a product showcase, create tutorial videos, or render brand content.
Video Generator Skill
Create videos programmatically using ffmpeg-based rendering with declarative JSON composition specs. Supports natural language descriptions converted to video specs via LLM, 5 pre-built templates, async render queue, and preview generation.
Actions
create_video— Generate a VideoSpec from natural language description and queue for renderinglist_templates— List available pre-built video templatesrender— Queue a VideoSpec for rendering (manual spec input)get_status— Check the status of a render jobcancel— Cancel a pending or rendering jobpreview— Generate a single-frame preview image of a video specget_stats— Get aggregate video rendering statistics
Templates
| Domain | Name | Aspect | Description |
|--------|------|--------|-------------|
| social_media | Social Media Post | 9:16 | Short-form vertical video (hook → body → CTA) |
| data_dashboard | Data Dashboard | 16:9 | Animated metrics and data visualization |
| product_showcase | Product Showcase | 16:9 | Professional product presentation with features |
| tutorial | Tutorial | 16:9 | Step-by-step walkthrough with numbered steps |
| brand | XLVII Brand | 16:9 | XLVII branded content with brand palette |
Architecture
- Engine:
services/agent-runtime/src/video-engine.ts - Rendering: ffmpeg-based — color backgrounds + drawtext filters + xfade transitions
- Composition: Declarative JSON VideoSpec → ffmpeg filter_complex → MP4/WebM
- NL Pipeline: Description → LLM → VideoSpec JSON → render
- Queue: In-memory async render queue (100 cap, LRU eviction)
- Storage: Output files stored via existing media upload pipeline
Examples
- "Create a social media video about our new product launch" →
{ action: "create_video", description: "...", template: "social_media" } - "Show me available video templates" →
{ action: "list_templates" } - "Check on my video render" →
{ action: "get_status", job_id: "vid_1" }
Scope Mapping
design.video: write (generates video files)design.video.render: execute (triggers ffmpeg render)
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