tsingyuai
Indexé dans Registry
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
Vue d’ensemble
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.
Lire la documentation complète
Documentation source, pas des instructions pour ce site. Vérifiez les permissions avant d’exécuter des commandes.
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.
Métadonnées du fichier
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.
Voir le texte 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.
Examiner la source
Prix et coûts d’utilisation
- Obtenir le skill
- Prix non confirmé
- L’utiliser
- Prérequis non confirmés. Consultez les frais d’agent, d’API et de services à la source.
- Licence
- Apache-2.0
- Prix non confirmé
- Le prix n’est pas confirmé. Les liens existants vers les sources et l’installation restent disponibles.
Gratuit à obtenir ne signifie pas gratuit à utiliser. Le prix ne constitue pas une évaluation de sécurité. Soumettre un prix →
Source du skill enregistrée
Un chemin vers les instructions est enregistré. Cela ne constitue pas un test, une garantie de sécurité ou de compatibilité.
Réviser avant installation: Éviter l’installation automatique
Licence: 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
Les outils sont des indications de métadonnées, pas une compatibilité testée. Les prompts sont des suggestions.
Commencer par une petite tâche
- 1Lisez la source et confirmez entrées, résultats, dépendances et permissions.
- 2Demandez un plan à l’agent. Approuvez la configuration et les coûts avant un test isolé.
- 3Vérifiez résultats et fichiers modifiés. Signalez uniquement ce qui a été exécuté et conservez la révision source.
Vérifiez les dépendances, clés API et frais externes dans la source. Un dépôt public ne rend pas tous les services gratuits.
Source et conseils d’utilisation
Répertorié
Métadonnées et examens sont indicatifs. Popularité, découverte et exécution réussie sont des faits distincts.
- Dépôt source
- tsingyuai/growth-lab
- Licence
- Apache-2.0
- Version
- 1.0.0
- Dernier push GitHub
- 11 août 2026
- Registre mis à jour
- 3 sept. 2026
- Chemin des instructions
- executors/generate-image/SKILL.md @ f62ad620eb4e
Version déclarée dans le registre ; vérifiez les versions de la source.
Qualité
77/100
Solide
Confiance
67/100
Sandbox uniquement
Audit
79/100
Revue nécessaire
- 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
- —
- Résultats
- —
Copier ne signifie pas installer. Les compteurs nécessitent un rapport de réussite et ne garantissent pas la qualité globale.
Accès agent
L’API Registry fournit les signaux de décision, confiance, audit, cas d’usage et installation sans analyser l’interface.
Plus de détails
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}Pour le créateur
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- Créateur
- tsingyuai
- Source
- tsingyuai/growth-lab
- Indexé par
- Index communautaire OpenAgentSkill
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Kit de backlinks créateur
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Affichez la fiche canonique, les signaux actuels de confiance et d’audit, ainsi que de vraies preuves Agent-Proven là où les développeurs évaluent le dépôt.
[](https://www.openagentskill.com/skills/tsingyuai-generate-image?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/tsingyuai-generate-image?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/tsingyuai-generate-image/audit)
[](https://www.openagentskill.com/skills/tsingyuai-generate-image?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Signal de communauté
Indiquez si ce skill semble utile à votre workflow Agent. Les retours agrégés améliorent le classement au fil du temps.