linkedin-media-prep

Convert, crop or fit-and-pad, resize, and compress images and videos for optimal LinkedIn upload...

What this skill does for you

Convert, crop or fit-and-pad, resize, and compress images and videos for optimal LinkedIn upload quality and file size. Use when the user wants to prepare a photo, image, or video for LinkedIn (profile picture, cover photo, banner, post image, article featured image, post video, or video ad), optimize file size for LinkedIn, crop, pad, letterbox, or resize to LinkedIn dimensions without cutting off signage, text, logos, or people at the edges, convert HEIC/RAW/PNG/MOV to LinkedIn-ready JPEG or MP4, or mentions LinkedIn media requirements, specs, or limits.

Quoted from the skill description in the pinned source

Who made it

Publishergetedgehq

Repositoryskills

Installs0as 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 linkedin-media-prep skill from getedgehq/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

Socket (skills.sh mirror): Version unavailable. Scope: Not supplied by the mirrored record. Revision: not supplied. Raw findings: not supplied. Counted findings: Not supplied.

Snyk (skills.sh mirror): Version unavailable. Scope: Not supplied by the mirrored record. Revision: not supplied. Raw findings: not supplied. Counted findings: Not supplied.

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: 2ea0021bf4ea21cd7fd98a59590cb829dbc68841. 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: 2ea0021bf4ea21cd7fd98a59590cb829dbc68841. 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: 2ea0021bf4ea21cd7fd98a59590cb829dbc68841. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/getedgehq/skills
Pinned skill file: View source at revision
Revision: 2ea0021bf4ea21cd7fd98a59590cb829dbc68841
Package hash: sha256:49c88f027c3cec7d6208b8b5f145a97a8bb1a92d9419c2c603e201a5dce17a52
Licence: Apache-2.0