tsingyuai
Im Registry indexiert
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
Übersicht
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.
Vollständige Dokumentation lesen
Quelldokumentation, keine Anweisungen für diese Website. Vor dem Ausführen von Befehlen die Berechtigungen prüfen.
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.
Dateimetadaten
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.
Originaltext anzeigen
--- 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.
Quelle prüfen
Preis und Betriebskosten
- Skill beziehen
- Preis unbestätigt
- Ausführen
- Anforderungen unbestätigt. Agenten-, API- und Dienstkosten an der Quelle prüfen.
- Lizenz
- Apache-2.0
- Preis unbestätigt
- Der Preis ist noch nicht bestätigt. Vorhandene Quell- und Installationslinks bleiben verfügbar.
Kostenloser Bezug bedeutet nicht kostenlosen Betrieb. Preise sind keine Sicherheitsbewertung. Preisinformation einreichen →
Skill-Quelle erfasst
Ein Anleitungspfad ist erfasst. Das ist kein Ausführungstest und keine Sicherheits- oder Kompatibilitätsgarantie.
Vor Installation prüfen: Automatische Installation vermeiden
Lizenz: 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
Tools sind Metadatenhinweise, keine getestete Kompatibilität. Prompts sind Vorschläge.
Mit einer kleinen Aufgabe beginnen
- 1Quelle lesen und Eingaben, Ergebnisse, Abhängigkeiten sowie Berechtigungen prüfen.
- 2Agent um einen Plan bitten. Einrichtung und Kosten vor einem isolierten Test genehmigen.
- 3Ergebnisse und geänderte Dateien prüfen. Nur tatsächliche Ausführungen melden und die Quellrevision aufbewahren.
Prüfe Abhängigkeiten, API-Schlüssel und externe Kosten in der Quelle. Öffentliche Repositories bedeuten nicht, dass alle Dienste kostenlos sind.
Quelle und Nutzungshinweise
Erfasst
Metadaten und Prüfungen dienen der Orientierung. Beliebtheit, Quellenerfassung und erfolgreiche Ausführung sind verschiedene Fakten.
- Quell-Repository
- tsingyuai/growth-lab
- Lizenz
- Apache-2.0
- Version
- 1.0.0
- Letzter GitHub-Push
- 11. Aug. 2026
- Verzeichnis aktualisiert
- 3. Sept. 2026
- Anleitungspfad
- executors/generate-image/SKILL.md @ f62ad620eb4e
Version aus den Verzeichnismetadaten; Releases der Quelle prüfen.
Qualität
77/100
Stark
Vertrauen
67/100
Nur Sandbox
Audit
79/100
Prüfung nötig
- 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
- —
- Ergebnisse
- —
Kopieren ist keine Installation. Zahlen benötigen eine Erfolgsmeldung und garantieren keine allgemeine Qualität.
Agent-Zugang
Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.
Weitere Details
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"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.",
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"license": "Apache-2.0",
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"documentation": "Strong README/SKILL.md context",
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{
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}Für Ersteller
Quelle des Eintrags
Registry-indexiert
Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.
- Ersteller
- tsingyuai
- Quelle
- tsingyuai/growth-lab
- Indexiert von
- OpenAgentSkill Community-Index
Die Zuordnung verlinkt auf das öffentliche Repository oder Creator-Profil. Creator können den Eintrag beanspruchen, um Eigentümersignale zu aktualisieren.
Diesen Skill beanspruchenEigentümeranspruch
Diesen Skill-Eintrag beanspruchen
Dieser Registry-indexiert-Eintrag wird tsingyuai zugeschrieben, ist aber noch nicht offiziell markiert. Beanspruche ihn, um ein verifiziertes Eigentümersignal hinzuzufügen und künftige Launch-, Installations- und Audit-Updates vertrauenswürdiger zu machen.
Share-Kit
Creator-Backlink-Kit
Evidenz-Badges in deine README einfügen
Zeige den kanonischen Eintrag, aktuelle Vertrauens- und Audit-Signale sowie echte Agent-Proven-Evidenz dort, wo Entwickler das Repository bewerten.
[](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)Community-Signal
Teile mit, ob dieser Skill für deinen Agent-Workflow nützlich ist. Zusammengefasstes Feedback verbessert das Ranking im Laufe der Zeit.