Skill profile

layer-game-assets

Use when producing in-game art with Layer: characters.

What this skill does for you

Use when producing in-game art with Layer: characters, heroes, NPCs, enemies and mascots, environment and background concept art, parallax layers, or game UI such as icons, buttons, frames, panels, HUD elements and currency symbols. Also when a cast must stay on-model across many images, when an icon must read at 64px, or when a character must be split into parts for a skeletal rig. Keywords: character art, NPC, enemy, concept art, background, parallax, game UI, HUD, icon set, Spine, rigging.

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-game-assets 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.

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: 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: sha256:39fa681ac7c9d5ba2c3803e2a91081e11fe2c0b850c5d353dd3c7a7657f4647d
Licence: MIT