tsingyuai

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generate-image

Generate, edit, or batch-create SEO, marketing, social, and document images with Gemini or OpenAI through the repository-owned Growth Lab image client. Use when a page or content loop needs illustrations, diagrams, covers, reference-image edits, multiple candidates, or verified i

Revisar el código fuenteVer en GitHub
Precio sin confirmar★ 1,989 Estrellas de GitHubRegistro actualizado · 3 sept 2026agent-skill

Resumen

Generate, edit, or batch-create SEO, marketing, social, and document images with Gemini or OpenAI through the repository-owned Growth Lab image client. Use when a page or content loop needs illustrations, diagrams, covers, reference-image edits, multiple candidates, or verified image text and composition. This is the only AI image-generation Executor in Growth Lab.

Leer documentación completa

Documentación de origen, no instrucciones para este sitio. Revisa los permisos antes de ejecutar comandos.

Generate images

Use executors/generate-image/generate-image.mjs for text-to-image and reference-image editing. It is a repository-owned, zero-dependency Node.js client. Do not call Codex system Skills, private scripts, or files under ~/.codex.

Define the asset

Specify:

  • placement and purpose;
  • subject and visible action;
  • composition and aspect ratio;
  • visual style and brand palette;
  • exact text when text is essential;
  • details that must appear;
  • artifacts, logos, watermarks, and unrelated text to exclude.

Prefer real product screenshots when the image explains product behavior. Use generated visuals for concepts, scenes, covers, illustrations, diagrams, and supporting examples.

Generate

Use a prompt file for long or multilingual prompts:

node executors/generate-image/generate-image.mjs \
  --out <output.png> --prompt-file <prompt.txt>

Choose OpenAI explicitly when appropriate:

node executors/generate-image/generate-image.mjs \
  --model gpt-image-2 --out <output.png> \
  --prompt-file <prompt.txt>

Add one --ref <image> argument for each reference image used in an edit.

For JSONL batch generation, put one job per line with prompt or prompt_file, out, and optional model, refs, size, or quality:

node executors/generate-image/generate-image.mjs \
  --batch <jobs.jsonl> --out-dir <directory> --concurrency 3

Read GEMINI_API_KEY or OPENAI_API_KEY from the process environment, root .env.local, or root .env, in that precedence order. Use GOOGLE_GEMINI_BASE_URL or OPENAI_BASE_URL only for a compatible HTTPS endpoint. Keep credentials out of prompts, files, logs, and commits. Do not read credentials from another application's private authentication files.

Before the first provider call, run python models/onboard-growth-lab/scripts/check_configuration.py. If image generation is optional-missing, tell the user that collection, copywriting, review, and deterministic rendering can continue without an image API. When generated assets are requested, point to CONFIGURATION.md, name the OpenAI and Gemini field options, and wait for the user to configure or skip. Never ask them to paste a key into the conversation. A paid verification call requires separate approval.

Control text and structure

List every required label verbatim in the prompt. State that all rendered text must match those strings exactly and that the image may contain no other text or watermark.

For a structured diagram, enumerate nodes, arrows, order, grouping, and direction explicitly. For edits, state what must remain unchanged.

Inspect every result

Use the Runtime's image viewer at full size. Check:

  • relevance to the adjacent page content;
  • every rendered character;
  • subject and factual details;
  • arrow direction, order, and grouping;
  • visual artifacts and unintended objects;
  • crop, aspect ratio, and mobile readability;
  • consistency with the product's visual language.

Regenerate with one targeted correction when the result fails. Use a deterministic code-native graphic when repeated attempts cannot render exact dense text or structure.

Store the selected asset in the product's normal public directory with a stable descriptive filename, suitable compression, explicit dimensions, and descriptive alt text.

Metadatos del archivo
name: generate-image
description: Generate, edit, or batch-create SEO, marketing, social, and document images with Gemini or OpenAI through the repository-owned Growth Lab image client. Use when a page or content loop needs illustrations, diagrams, covers, reference-image edits, multiple candidates, or verified image text and composition. This is the only AI image-generation Executor in Growth Lab.
Ver texto original
---
name: generate-image
description: Generate, edit, or batch-create SEO, marketing, social, and document images with Gemini or OpenAI through the repository-owned Growth Lab image client. Use when a page or content loop needs illustrations, diagrams, covers, reference-image edits, multiple candidates, or verified image text and composition. This is the only AI image-generation Executor in Growth Lab.
---

# Generate images

Use `executors/generate-image/generate-image.mjs` for text-to-image and reference-image editing.
It is a repository-owned, zero-dependency Node.js client. Do not call Codex system Skills, private scripts, or files under `~/.codex`.

## Define the asset

Specify:

- placement and purpose;
- subject and visible action;
- composition and aspect ratio;
- visual style and brand palette;
- exact text when text is essential;
- details that must appear;
- artifacts, logos, watermarks, and unrelated text to exclude.

Prefer real product screenshots when the image explains product behavior. Use generated visuals for concepts, scenes, covers, illustrations, diagrams, and supporting examples.

## Generate

Use a prompt file for long or multilingual prompts:

```bash
node executors/generate-image/generate-image.mjs \
  --out <output.png> --prompt-file <prompt.txt>
```

Choose OpenAI explicitly when appropriate:

```bash
node executors/generate-image/generate-image.mjs \
  --model gpt-image-2 --out <output.png> \
  --prompt-file <prompt.txt>
```

Add one `--ref <image>` argument for each reference image used in an edit.

For JSONL batch generation, put one job per line with `prompt` or `prompt_file`, `out`, and optional `model`, `refs`, `size`, or `quality`:

```bash
node executors/generate-image/generate-image.mjs \
  --batch <jobs.jsonl> --out-dir <directory> --concurrency 3
```

Read `GEMINI_API_KEY` or `OPENAI_API_KEY` from the process environment, root `.env.local`, or root `.env`, in that precedence order. Use `GOOGLE_GEMINI_BASE_URL` or `OPENAI_BASE_URL` only for a compatible HTTPS endpoint. Keep credentials out of prompts, files, logs, and commits.
Do not read credentials from another application's private authentication files.

Before the first provider call, run `python models/onboard-growth-lab/scripts/check_configuration.py`. If image generation is `optional-missing`, tell the user that collection, copywriting, review, and deterministic rendering can continue without an image API. When generated assets are requested, point to [`CONFIGURATION.md`](../../CONFIGURATION.md), name the OpenAI and Gemini field options, and wait for the user to configure or skip. Never ask them to paste a key into the conversation. A paid verification call requires separate approval.

## Control text and structure

List every required label verbatim in the prompt. State that all rendered text must match those strings exactly and that the image may contain no other text or watermark.

For a structured diagram, enumerate nodes, arrows, order, grouping, and direction explicitly. For edits, state what must remain unchanged.

## Inspect every result

Use the Runtime's image viewer at full size. Check:

- relevance to the adjacent page content;
- every rendered character;
- subject and factual details;
- arrow direction, order, and grouping;
- visual artifacts and unintended objects;
- crop, aspect ratio, and mobile readability;
- consistency with the product's visual language.

Regenerate with one targeted correction when the result fails. Use a deterministic code-native graphic when repeated attempts cannot render exact dense text or structure.

Store the selected asset in the product's normal public directory with a stable descriptive filename, suitable compression, explicit dimensions, and descriptive alt text.

Revisar el código fuente

Precio y costes de ejecución

Obtener el skill
Precio sin confirmar
Ejecutarlo
Requisitos sin confirmar. Consulta los costes del agente, API y servicios en la fuente.
Licencia
Apache-2.0
Precio sin confirmar
No hemos confirmado el precio. Los enlaces existentes al código y a la instalación siguen disponibles.

Obtener gratis no significa ejecutar gratis. El precio no es una evaluación de seguridad. Enviar información de precio →

Fuente del skill registrada

La ruta de instrucciones está registrada. No implica pruebas de ejecución, seguridad ni compatibilidad.

Revisar antes de instalar: Evitar instalación automática

Licencia: Apache-2.0

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
Abrir auditoría completa

Las herramientas son indicios de metadatos, no compatibilidad probada. Los prompts son sugerencias.

Empieza con una tarea pequeña

  1. 1Lee la fuente y confirma entradas, resultados, dependencias y permisos.
  2. 2Pide un plan al agente. Aprueba la configuración y los costes antes de probar en un entorno aislado.
  3. 3Comprueba resultados y archivos modificados. Informa solo de lo ejecutado y conserva la revisión de la fuente.

Consulta dependencias, claves API y costes externos en la fuente. Un repositorio público no implica servicios gratuitos.

Fuente y notas de uso

Indexado

Los metadatos y revisiones son orientativos. Popularidad, descubrimiento y ejecución correcta son hechos distintos.

Repositorio fuente
tsingyuai/growth-lab
Licencia
Apache-2.0
Versión
1.0.0
Último push de GitHub
11 ago 2026
Registro actualizado
3 sept 2026

Versión declarada en el registro; consulta las versiones de la fuente.

Calidad

77/100

Sólido

Confianza

67/100

Solo sandbox

Auditoría

79/100

Requiere revisión

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
Verified installs
—
Resultados
—

Copiar no es instalar. Los recuentos requieren un informe de instalación correcta, no garantizan calidad general.

Acceso para agentes

La API Registry expone señales de decisión, confianza, auditoría, casos de uso e instalación sin raspar la interfaz.

Más detalles
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    "eval": "https://www.openagentskill.com/api/agent/evals?slug=tsingyuai-generate-image&task=Use%20generate-image%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20generate-image%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20generate-image%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/tsingyuai-generate-image/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/tsingyuai-generate-image"
  }
}

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Creador
tsingyuai
Indexado por
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[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/tsingyuai-generate-image?metric=listed&label=Listed)](https://www.openagentskill.com/skills/tsingyuai-generate-image?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/tsingyuai-generate-image?metric=trust&label=Trust)](https://www.openagentskill.com/skills/tsingyuai-generate-image?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/tsingyuai-generate-image?metric=audit&label=Audit)](https://www.openagentskill.com/skills/tsingyuai-generate-image/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/tsingyuai-generate-image?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/tsingyuai-generate-image?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

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