Skill profile

kling

The generative-video producer for native 4K.

What this skill does for you

The generative-video producer for native 4K, multi-shot storyboarding, and motion-transfer (Kling-led). Use when someone wants "native 4K video," "a multi-shot sequence / several cuts in one clip," "transfer a motion/dance from a reference video," "animate a product still" (image-to-video), or names Kling / Kling 3.0 / Motion Control / Multi-Shot. Kling generates clips; audio is a guide track (pair ai-voiceover for final dialogue); a human assembles/reviews; WoopSocial schedules/ publishes. Below the ai-video router, sibling to veo-3 (all-round + audio) and luma (HDR/mood); edit-grade control jobs go to runway. Consented motion/avatars only; AI disclosure mandatory.

Quoted from the skill description in the pinned source

Who made it

Publishersocial-media-skills

Repositoryskills

Installs294as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the kling skill from social-media-skills/skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

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:f8cf9fab48770ef9f6f539b1a577357e0b51fbfa801cd13dcda235f86d59fa00
Licence: MIT