barmoshe/claude-creative-stack

asset-generator

Generate images, voice, music, or short video by routing to the right hosted provider (Replicate, Fal, ElevenLabs, Suno, Luma) via the asset-router MCP.

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Como usar

  1. Copie o comando e verifique o pacote antes de instalar no seu ambiente de agente.
  2. Consulte no original as ferramentas, credenciais e ambientes necessários.
  3. Descreva os dados de entrada e a entrega esperada; confira a saída com as fontes.
npx skills add https://github.com/barmoshe/claude-creative-stack --skill asset-generator

Antes de começar

  • A instalação não inclui assinatura de modelo, franquia API ou acesso aos seus arquivos.
  • Estrelas e instalações indicam atividade, não um teste independente de qualidade ou segurança.
Documento original do Skill

Renderizado do repositório de origem, preservando títulos, exemplos, código, tabelas, links e imagens.

Asset Generator

A task-aware router for asset-generating MCPs. The skill is the decision layer; the actual provider calls live in mcp/servers/asset-router/.

When to trigger

  • "Generate concept art for…"
  • "Make me a logo / icon / hero image…"
  • "Pixel sprite of…"
  • "Voiceover saying…"
  • "Music loop in {genre}…"
  • "Short video clip of…"
  • Any "give me {N} variants of…" where the asset is one of the above.

Decision flow

1. Classify the task: image | voice | music | video.
2. Pick a style descriptor: photoreal | stylized | vector | pixel | line-art | painterly.
3. Pick a constraint surface:
     - cost-sensitive  → SDXL Lightning / smaller models
     - quality-final   → Flux 1.1 Pro / Recraft v3 / Suno v4.5
     - commercial-safe → Firefly via the Creative Cloud connector
     - on-brand pixel  → SDXL + pixel LoRA, or Recraft pixel
4. Compose the prompt using the templates in knowledge/13-asset-pipelines.md §13.5.
5. Cap counts: 4 candidates per call; up to 3 iterations; provenance recorded.
6. Call asset-router MCP — pick `provider` only if the user explicitly asked.
7. On safety reject: rephrase once, return the reason if it fails again.
8. Emit a Markdown table of outputs with cost + license + seed; sidecar provenance JSON.

Calling the MCP

ts
// Inside Claude Code or Claude.ai with the asset-router MCP installed.
const out = await tools.asset_router.generate_image({
  prompt: "isometric cozy farmhouse, warm dusk lighting, painterly",
  style: "stylized",
  ratio: "1:1",
  count: 4,
  seed: 0xC0FFEE,         // optional — re-rolls deterministically
});
// out: [{ url, provider, model, cost_cents, seed, license, provenance_url }]

For voice / music / video, the same MCP exposes generate_voice, generate_music, generate_video with task-shaped inputs (see knowledge/13-asset-pipelines.md §13.2).

Cost discipline

PhaseModelCountWhy
IdeationSDXL Lightning8 thumbnailsCheap; iterate on direction.
RefinementFlux 1.1 Pro4Pick a winner from ideation.
FinalFlux 1.1 Pro or Recraft v3 (vector)1–2Lock the seed.
Provenance——Sidecar JSON next to every asset.

When stub-only (no API keys), each call returns a deterministic placeholder (constant gradient, silent WAV, black MP4) plus the metadata it would have produced. Recipes still run end-to-end; the user just sees placeholders.

Prompt-template selection

Pull templates from knowledge/13-asset-pipelines.md §13.5:

  • Logo → Flux/Recraft, style: minimal | playful | luxury, --ratio 1:1.
  • Game tile → SDXL pixel, palette_size: 8, seamless edges.
  • Character sprite sheet → Flux + ControlNet pose, 8 frames per cycle.
  • Voiceover → ElevenLabs, voice id, settings tuned to use case.
  • Music brief → Suno, mood + genre + BPM + key + duration.

Composition with other skills

  • palette-generator → run after image gen to extract a usable palette.
  • sprite-atlas-builder → pack generated sprites into an atlas.
  • critique-loop → ask Claude to score the result against the brief and decide whether to iterate.
  • artifact-game-builder → drop the assets into a runnable game artifact.

The recipes/agentic-asset-pipeline.md recipe stitches all five into one end-to-end run.

Safety rails

  • Never run "generate {large N}" without a confirm step. 64 generations × $0.04 = $2.56; surface the estimate via asset-router.estimate_cost() first.
  • Always emit provenance. Don't ship outputs without {provider, model, seed, prompt, cost, license, timestamp}.
  • Refuse identifiable-likeness prompts unless the user has uploaded a reference they own. ElevenLabs voice cloning especially.
  • Tag commercial-restricted outputs in the provenance file. Suno's terms vary by tier; ElevenLabs' likeness tooling is restricted.
  • Don't paste API keys into artifacts. All provider calls go through the MCP, which reads keys from the local environment only.

Output shape

  1. Brief — one-line summary of what was generated and why this provider/model.
  2. Markdown table of outputs with: thumbnail link, provider, model, cost, license, seed.
  3. Provenance JSON sidecar (one per output).
  4. Recommended next step — pick / iterate / refine, or "drop into <skill>".

Further reading

  • knowledge/13-asset-pipelines.md — full provider matrix and prompt templates.
  • knowledge/11-creative-connectors.md — Adobe Firefly via Creative Cloud connector for commercial-safe output.
  • mcp/servers/asset-router/ — the routing MCP.
  • skills/critique-loop/SKILL.md — pair this skill with critique-loop for self-graded iteration.
  • recipes/agentic-asset-pipeline.md — end-to-end demo.

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