layer
Generate Game Assets with Layer MCP
Creative teams need to coordinate models, reference files, and costs across asset generation tasks. This skill guides Layer MCP requests from workspace selection to completed assets and style warnings.
๋ด ์์ด์ ํธ๋ก ์ค์น
์ด ์์ฒญ์ ์์ด์ ํธ์ ๋ณต์ฌํ์ธ์. ๊ณต์ Skill ํ์ด์ง์ ๋งค๋ํ์คํธ๊ฐ ํฌํจ๋์ด ์์ต๋๋ค.
Review the Skillstore skill "layer" from https://skillstore.io/skills/layerai-layer.md and its manifest at https://skillstore.io/api/skills/layerai-layer/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.์์ด์ ํธ๋ ๊ณ์ํด์ ๊ณํ์ ํ์ํ๊ณ ๋ณด์ ์ ์ฑ ์์ ์๊ตฌํ๋ ํ์ธ์ ์์ฒญํด์ผ ํฉ๋๋ค.
์์ด์ ํธ๊ฐ ์ฝ๊ธฐ ์ฌ์ด ๋ฆฌ์์ค
AI ์์ด์ ํธ, ํฌ๋กค๋ฌ, ์คํฌ๋ฆฝํธ๊ฐ ์ ์ฒด ํ์ด์ง ๋์ ์ ๋ฆฌ๋ ์ปจํ ์คํธ๋ง ํ์ํ ๋ ์ด ๋งํฌ๋ฅผ ์ฌ์ฉํ์ธ์.
ํ ์คํธํด ๋ณด๊ธฐ
"layer" ์ฌ์ฉ ์ค์ ๋๋ค. Explain the cost decision in the documented four-sprite example.
์์ ๊ฒฐ๊ณผ:
- The example estimates four variations at 7 CUs against a balance of 900 CUs.
- This single run is below the 20 CU confirmation threshold.
- Four distinct sprite prompts require separate runs and approval of the planned sequence cost.
"layer" ์ฌ์ฉ ์ค์ ๋๋ค. A trained style did not apply, but the generation completed. Explain the result.
์์ ๊ฒฐ๊ณผ:
- The generation completed, but the requested trained style did not apply.
- The run still consumes Creative Units.
- Report the affected style and the returned warning before presenting the assets.
"layer" ์ฌ์ฉ ์ค์ ๋๋ค. A model identifier returns MODEL_NOT_FOUND. What should happen next?
์์ ๊ฒฐ๊ณผ:
- Discover available models again in the selected workspace.
- Check the replacement model requirements and obtain a new price estimate before execution.
- Do not reuse or guess the unavailable identifier.
๋ณด์ ๊ฐ์ฌ
์์ All 71 static findings are false positives: Markdown formatting, expected Layer service access, and unrelated prose matched execution or reconnaissance patterns. No evidence found of prompt injection, credential theft, or unauthorized data transfer in SKILL.md. Actual use requires authenticated external services, reference uploads when requested, and paid generation with documented spending confirmations.
์ํ ์์ธ
โ๏ธ ์ธ๋ถ ๋ช ๋ น์ด (50)
๐ ๋คํธ์ํฌ ์ ๊ทผ (1)
์ด ๋ณด๊ณ ์ ๊ณต์ ๋ฐ ์ธ์ฉ
๋ฒ์ ์ด ์ง์ ๋ ํ๊ฐ ๋ณด๊ณ ์, ์ค๋ฆฝ ๋ฐฐ์ง, ์๋ฒ ๋ ์นด๋ ๋ฐ ์ธ์ฉ์ ๊ณต์ ํ์ธ์. Skillstore๋ ๊ทผ๊ฑฐ๋ฅผ ๋ณด๊ณ ํ์ง๋ง ์ด Skill์ ์์ ์ฌ๋ถ๋ฅผ ํ๋จํ์ง ์์ต๋๋ค.
๋ณด๊ณ ์ ๋งํฌ ๋ณต์ฌ
https://skillstore.io/skills/layerai-layer/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown ๋ฐฐ์ง
[](https://skillstore.io/skills/layerai-layer?utm_source=security_passport_badge)HTML ๋ฐฐ์ง
<a href="https://skillstore.io/skills/layerai-layer?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/layerai-layer/security.svg" alt="Skillstore security assessment" loading="lazy"></a>์๋ฒ ๋ ์นด๋
<iframe src="https://skillstore.io/embed/skills/layerai-layer.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>ํ์ ์ธ์ฉ (APA ยท BibTeX ยท CFF)
APA ์ธ์ฉ
layerai. (2026). layer security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/layerai-layer/audits/1BibTeX ์ธ์ฉ
@techreport{layerai-layerai-layer-2026,
author = {layerai},
title = {layer security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/layerai-layer/audits/1},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "layer security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "layerai"
date-released: "2026-10-11"
url: "https://skillstore.io/skills/layerai-layer/audits/1"
identifiers:
- type: other
value: "skillstore:layerai-layer:audit:1"
description: "Skillstore immutable audit report identifier"
Skillstore ์ ์
์ด ์ ์์ ์ด์ ์ฆ๊ฑฐ ์ ๋ขฐ๋: ์ค๊ฐ๋ง๋ค ์ ์๋ ๊ฒ
Produce Sprite Variations
Create variations of a building sprite prompt after selecting a suitable model and reviewing the estimated workspace cost.
Maintain a Trained Visual Style
Apply workspace reference sets across asset requests and identify any styles that fail to apply.
Coordinate Creative Production
Prepare reference files, estimate a sequence budget, and track image or video generation through completion.
์ด ํ๋กฌํํธ๋ฅผ ์ฌ์ฉํด ๋ณด์ธ์
In [workspace], find a model for [asset type] and check its requirements. Report available options without starting generation.
Create four variations of [sprite prompt] in [workspace]. Estimate cost first, apply the spending gate, and return completed asset links.
Use [reference file] and [trained style] in [workspace] for [asset]. Estimate first, report style warnings, and obtain required approval before execution.
Plan separate runs for [asset list] in [workspace]. Present total estimated cost for approval, reuse file identifiers, and monitor results and style degradation.
๋ชจ๋ฒ ์ฌ๋ก
- Confirm the paying workspace, discover models for the task, and review their requirements before preparing a run.
- Estimate every run and present planned sequence totals before obtaining required approval, even when negative balances are allowed.
- Reuse generated file identifiers, follow returned polling intervals, and report reference style warnings accurately.
ํผํ๊ธฐ
- Guessing model identifiers or filtering out suitable models with unnecessary capability settings.
- Executing without an estimate or treating negative balance permission as approval to bypass spending confirmation.
- Treating batch variations as distinct assets or reporting degraded reference styles as successfully applied.
์์ฃผ ๋ฌป๋ ์ง๋ฌธ
What must I connect before using this skill?
Which asset types does the guidance cover?
When is spending confirmation required?
Can one batch create several different assets?
How are reference files provided?
Does a completed run guarantee that my trained style applied?
๊ฐ๋ฐ์ ์ธ๋ถ ์ ๋ณด
์์ฑ์
layerai๋ผ์ด์ ์ค
MIT
Skillstore ๋ฆฌ๋น์
r1
๋ฒ์ ์๋ด
์์ฑ์๊ฐ ๋ฒ์ ์ ์ ์ธํ์ง ์์์ต๋๋ค.
๋ฆฌํฌ์งํ ๋ฆฌ
https://github.com/layerai/skills/tree/315d06db6f760160b26293fd867ac759942e2106/skills/layer์ฐธ์กฐ
d4f0bfa8bc3ba02d68c38df2d1ed444e3fd84fc2
์ ์ง๋ณด์ ์ต์ ์ฑ
2026. 10. 11.
์ฌ์ฉ๋
0 ๋ค์ด๋ก๋ ยท 0 ์กฐํ
ํ์ผ ๊ตฌ์กฐ
๐ SKILL.md