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.

Quelltext ansehen

Verwendung

  1. Installationsbefehl kopieren und das Quellpaket vor der Installation in der eigenen Agentenumgebung prüfen.
  2. Benötigte Werkzeuge, Zugangsdaten und Hosts im Original prüfen.
  3. Eingabe und gewünschtes Ergebnis beschreiben und die Ausgabe mit den Quellen abgleichen.
npx skills add https://github.com/barmoshe/claude-creative-stack --skill asset-generator

Vor dem Start

  • Die Installation umfasst weder Modellabo noch API-Kontingent oder Dateizugriffsrechte.
  • Sterne und Installationen zeigen Aktivität, keine unabhängige Qualitäts- oder Sicherheitsprüfung.
Originales Skill-Dokument

Aus dem Quell-Repository gerendert; Überschriften, Beispiele, Code, Tabellen, Links und Bilder bleiben erhalten.

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.

Verwandte Aufgaben

aus demselben Repository

Weitere Skills

Alle Skills