# 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.

## Install

```bash
npx skillstore add layerai/layer
```

## Metadata

- Status: approved
- Slug: layerai-layer
- Skillstore revision: r1
- Version status: missing
- Tree hash: 65d7337a2d240c4cf533b42fada6a5b071aeca9740aadb5935e82dedb198bc93
- Author: layerai
- GitHub username: layerai
- License: MIT
- Repository: https://github.com/layerai/skills/tree/315d06db6f760160b26293fd867ac759942e2106/skills/layer
- Ref: d4f0bfa8bc3ba02d68c38df2d1ed444e3fd84fc2
- Supported tools: Claude, Codex, Claude Code
- Audit status: complete
- Agent install advisory: allowed
- Manual install advisory: allowed
- Artifact signature: available
- Audit attestation: unavailable
- Human verification: not\_verified
- Risk factors: external\_commands, network
- Quality score: 77
- Quality tier: bronze
- Public page: https://skillstore.pages.dev/skills/layerai-layer
- Manifest: https://skillstore.pages.dev/api/skills/layerai-layer/manifest

## Capabilities

- Guide Layer MCP generation and editing requests for images, video, 3D meshes, and audio.
- Discover workspace models using task filters, required capabilities, price limits, and model requirements.
- Estimate Creative Unit costs before execution and request explicit confirmation above 20 CUs or for planned sequences.
- Prepare local or public reference uploads and reuse generated file identifiers in later runs.
- Apply trained reference styles and report degradation warnings from estimates, execution, and polling.
- Monitor runs at returned intervals and guide recovery from authentication, model, balance, rate limit, and feature errors.

## Use Cases

- 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.

## Prompt Templates

### Discover a Suitable Model

```
In [workspace], find a model for [asset type] and check its requirements. Report available options without starting generation.
```

### Generate a Costed Batch

```
Create four variations of [sprite prompt] in [workspace]. Estimate cost first, apply the spending gate, and return completed asset links.
```

### Use References and Trained Styles

```
Use [reference file] and [trained style] in [workspace] for [asset]. Estimate first, report style warnings, and obtain required approval before execution.
```

### Plan a Multi-Run Production Sequence

```
Plan separate runs for [asset list] in [workspace]. Present total estimated cost for approval, reuse file identifiers, and monitor results and style degradation.
```

## Limitations

- Requires a configured Layer MCP connection, completed OAuth authentication, and access to the selected workspace.
- Generation consumes Creative Units, and available models and features depend on workspace access.
- This package contains guidance only; specialized techniques, connection setup, and workflow details refer to separate skills.
- Batch generation creates variations of one prompt, and requested reference styles may degrade even when a paid run succeeds.

## Best Practices

- 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.

## Anti Patterns

- 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.

## Security Audit

- Audited at: 2026-10-11T14:34:16.648\+00:00
- Summary: 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.

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