Edge Copy setup link
Skill evidence / layer-video-timeline
Skill profile

layer-video-timeline

Use when assembling assets a user already has into one finished video with Layer: sequencing clips.

What this skill does for you

Use when assembling assets a user already has into one finished video with Layer: sequencing clips, adding transitions, overlaying text, captions, a logo or a CTA, layering music or voice-over, or cutting a trailer, ad, or promo from generated shots. Also when a multi-shot piece needs to become a single deliverable file. Keywords: video editor, timeline, assemble, stitch, sequence, concatenate, transitions, overlay, captions, CTA, trailer, montage, render.

Quoted from the skill description in the pinned source

Who made it

Publisherlayerai
Repositoryskills
Installs684as 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 layer-video-timeline skill from layerai/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.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

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: be29a95875ca09500900c5ddddcaf4b7c08b6bc6. 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: be29a95875ca09500900c5ddddcaf4b7c08b6bc6. Raw findings: . 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: be29a95875ca09500900c5ddddcaf4b7c08b6bc6. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/layerai/skills
Pinned skill file
View source at revision
Revision
be29a95875ca09500900c5ddddcaf4b7c08b6bc6
Package hash
sha256:35b1131e91480e3444ba3d2400e4a24cc461f5dc6eb61fa6c61566b0ebc85814
Licence
MIT