promptadvisers/bench-studio-public/bench-studio

Claude Code and agent skill by promptadvisers/bench-studio-public

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Create and inspect images, videos, local websites, and designed PDF documents through Bench Studio. Use when a request involves choosing a fal model, mapping reference media to model-specific fields, generating media with transparent pricing, building a prompt-driven website or PDF through the cached Codex subscription, retrieving local artifacts, checking generation spend, or syncing the fal catalog.

Install

npx vskill@latest install promptadvisers/bench-studio-public/bench-studio

SKILL.md

Bench Studio

Use Bench as a local creative operating system. Prefer its MCP tools; fall back to the loopback API at http://localhost:8787 when the MCP server is not connected.

Route the request

  • Images or videos: inspect models, inspect the chosen model's inputs, upload any media, then generate.
  • Websites: start create_website, retain the project id, poll get_project, and return the preview plus source artifact.
  • Documents: start create_document, poll get_project, and return the PDF plus editable HTML preview.
  • Existing work: use list_results for media or list_projects for websites and documents.
  • Pricing or storage: use get_usage before making assumptions.

Media workflow

  1. Call list_models with the requested output and required input modality.
  2. Call get_model_capabilities before attaching media. Treat schema-supported as declared support, not proof of visual fidelity.
  3. Call upload_media for every local asset. Keep both its hosted URL and local archive URL.
  4. Map each uploaded asset to an exact capability field. Never invent image_url; models differ.
  5. Call create_media with the smallest suitable model and explicit parameters.
  6. Return local result URLs first and hosted fal URLs second.

Do not say a reference influenced an output merely because fal accepted the field. Say “submitted successfully” unless an output was actually reviewed.

Website and document workflow

Write a concrete creative brief containing audience, purpose, mood, required sections, and constraints. Pick low depth for routine drafts and medium for consequential work. Builds use the local ChatGPT-authenticated Codex SDK and create inspectable files under Bench's project archive.

Poll until complete, failed, or cancelled. Do not report a queued job as delivered. For PDFs, visually inspect representative rendered pages before calling the document finished when the user asks for a final production artifact.

Safety and truthfulness

  • Never copy or expose ~/.codex/auth.json, fal keys, or other credentials. The SDK reads cached authentication itself.
  • Never bypass a model's capability contract to force an attachment through.
  • Prefer local media and project URLs; retain remote URLs for portability.
  • Avoid high-cost generations when a frugal model can answer the brief.
  • Explain whether cost is an estimate, metered rate, or actual billed total.

Read references/interface.md when MCP tools are unavailable or when debugging the local service.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
114
Repository forks
44
7-day trend score
24

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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