adobe-edit-quick-cut

Create a punchy highlight cut from a video with Adobe Quick Cut : for requests like "make a sizzle reel".

What this skill does for you

Create a punchy highlight cut from a video with Adobe Quick Cut : for requests like "make a sizzle reel", "make a highlight reel", "quick cut this", "cut the best parts", "shorten this video", "make a highlight clip", or "summarize this video visually". Works from the user's original request without follow-up questions and produces one highlight cut. Do NOT use it for exact-timestamp trims ("cut from 0:30 to 1:15") or other deterministic edits : Quick Cut selects moments by relevance, not exact instructions; those need manual editing. Requires a video file (an upload or an already-referenced Creative Cloud asset).

Quoted from the skill description in the pinned source

Who made it

Publisheradobe

Repositoryskills

Installs283as 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 adobe-edit-quick-cut skill from adobe/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: 27b87ccd7b5b5b6a12d949d8747e25248c2b02fb. 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: 27b87ccd7b5b5b6a12d949d8747e25248c2b02fb. 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: 27b87ccd7b5b5b6a12d949d8747e25248c2b02fb. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/adobe/skills
Pinned skill file: View source at revision
Revision: 27b87ccd7b5b5b6a12d949d8747e25248c2b02fb
Package hash: sha256:9fae12f9a94fb22a6dd1088fc2f7855983da9accd6928fd9efeb243b416dfff3
Licence: Apache-2.0