luma
The Luma Dream Machine craft skill : generate cinematic AI video shots (Ray3: text-to-video.
What this skill does for you
The Luma Dream Machine craft skill : generate cinematic AI video shots (Ray3: text-to-video, image-to-video, keyframes, character reference, Modify V2V, HDR) with draft-first economics and the right rights. Use when someone wants to generate video with Luma/Dream Machine/Ray3, animate a still into video, keep a character consistent across shots, restyle real footage, control credit burn, pick a Luma model or plan, or build a multi-shot AI brand film. Uses the DREAM framework. Reads ai-video + brand-profile + short-form-video-script first. The agent writes shot briefs and can drive the API where connected; the HUMAN judges every clip; WoopSocial publishes. Generations are shots not films (no native audio); Draft Mode first, HDR only for finals; verify tiers in-app. Never use unpermitted likeness, generate fake-event footage, or state credit rates as fact. Distinct from ai-video, veo-3/kling/runway, flux (the stills this animates), heygen/synthesia, and capcut.
Quoted from the skill description in the pinned sourceWho made it
Use it with Edge
Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the luma skill from social-media-skills/skills.
Paste it into Claude, ChatGPT, Codex or Cursor.
Or read the skill source first.
Security evidence
| Scanner | Date | Result | Findings |
|---|---|---|---|
| Edge static checks | 2026-09-27 | Pass | 0 |
| Cisco skill-scanner | 2026-09-27 | Pass | 0 |
| Semgrep Edge rules | 2026-09-27 | Pass | 0 |
Static scans check the code, not how well the skill works.
Scanner scope, raw findings and mirrored provider records
Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 6e30eeb2f6736bda8683b6bbaa674af3641d7945. Raw findings: . Counted findings: .
Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 6e30eeb2f6736bda8683b6bbaa674af3641d7945. Raw findings: 1. Counted findings: .
Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 6e30eeb2f6736bda8683b6bbaa674af3641d7945. Raw findings: . Counted findings: .
Source and licence
- Repository
- https://github.com/social-media-skills/skills
- Pinned skill file
- View source at revision
- Revision
- 6e30eeb2f6736bda8683b6bbaa674af3641d7945
- Package hash
- sha256:ec38a858024e10edaec94ff20876fbe00fdbf9be6f2d35df13e1d1dc9330bee1
- Licence
- MIT