How do I install the Generate Image skill?

Run npx skillmds@latest add tfcbot/generate-image in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Generate Image safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Generate Image?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Generate Image free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Generate Image?

tfcbot (@tfcbot) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Generate Image by tfcbot — Agent Skill

Name: Generate Image
Author: tfcbot

File contents

generate-image

The base image skill. Use it standalone for hero shots, character reference sheets, thumbnails, or product photos — or as a building block (start frame for /generate-video, slide for /generate-carousel). The skill's job is to turn a rough idea into a finished PNG, refining the prompt and picking the right model along the way.

Providers

Wavespeed — pull https://wavespeed.ai/docs for the current API surface; model-specific endpoints under https://wavespeed.ai/docs/docs-api/... (e.g. bytedance/bytedance-nano-banana-2, openai/gpt-image-2)

Pick the model

Model	Best for	Trade-off
Nano Banana 2	Hyperrealistic product photos, characters, lifestyle scenes. Strong identity lock from reference image.	Weak at typography — keep on-image text minimal (logos, short wordmarks only).
GPT-Image 2	Reliable in-image typography. Carousels, slides, infographics, posters, thumbnails with words.	Less photorealistic — visible "AI illustration" aesthetic on faces and skin.

Rule of thumb: if the image needs words baked in, use GPT-Image 2. Otherwise Nano Banana 2.

Steps

Capture the idea. Ask the user: what's the subject, what's the scene/setting, what's the angle/framing, what's the deliverable (e-commerce listing, video starting frame, slide), and what's the target aspect ratio.
Refine the prompt. Rewrite the idea into a model-appropriate structured prompt:
- Nano Banana 2 → Hyperrealistic photo: [subject] in [setting], [framing — e.g. 3/4 profile], [lighting — e.g. softbox above left], [aspect]. 3–5 specific material/shape callouts; more and the model averages.
- GPT-Image 2 → [Composition]: [subject] with text "[exact text]", [layout], [style]. Quote the exact text to bake in. Read the refined prompt back to the user and iterate before any provider call.
Pick the model from the table above.
Set the params. Size / aspect ratio (1024*1024 square, 1024*1792 9:16, 1792*1024 16:9), number of variations.
Generate. Call the chosen Wavespeed endpoint, download the PNG(s) to CWD/generate-image-<timestamp>/.
Show the user the result and offer to regenerate or adjust. Save the final prompt alongside the PNG.

Input

Idea (subject, scene, framing)
(optional) Reference image for identity lock (Nano Banana 2)
Aspect ratio / size
(optional) Exact in-image text (GPT-Image 2)

Output

PNG(s) at CWD/generate-image-<timestamp>/
Wavespeed-hosted URL(s) printed for reuse (e.g. as image input to /generate-video)
The final prompt saved alongside the PNG for iteration

Common failure modes

Stylized / cartoony Nano Banana output — prompt didn't anchor the model. Add "hyperrealistic" + "photograph".
Garbled GPT-Image 2 typography — the text wasn't quoted, or it was too long. Quote exact characters; cap at ~6 words per line.
Background bleeding into product — add "cutout on seamless white background, no reflections" for Nano Banana product shots.

---name: generate-imagedescription: Generate one AI image from an idea. Walks the user from rough concept → refined prompt → model pick (Nano Banana 2 or GPT-Image 2) → final PNG via Wavespeed.---# generate-imageThe base image skill. Use it standalone for hero shots, characterreference sheets, thumbnails, or product photos — or as a buildingblock (start frame for `/generate-video`, slide for`/generate-carousel`). The skill's job is to turn a rough idea into afinished PNG, refining the prompt and picking the right model alongthe way.## Providers- **Wavespeed** — pull `https://wavespeed.ai/docs` for the current API surface; model-specific endpoints under `https://wavespeed.ai/docs/docs-api/...` (e.g. `bytedance/bytedance-nano-banana-2`, `openai/gpt-image-2`)## Pick the model| Model | Best for | Trade-off ||---|---|---|| **Nano Banana 2** | Hyperrealistic product photos, characters, lifestyle scenes. Strong identity lock from reference image. | Weak at typography — keep on-image text minimal (logos, short wordmarks only). || **GPT-Image 2** | Reliable in-image typography. Carousels, slides, infographics, posters, thumbnails with words. | Less photorealistic — visible "AI illustration" aesthetic on faces and skin. |**Rule of thumb:** if the image needs words baked in, use GPT-Image 2.Otherwise Nano Banana 2.## Steps1. **Capture the idea.** Ask the user: what's the subject, what's the scene/setting, what's the angle/framing, what's the deliverable (e-commerce listing, video starting frame, slide), and what's the target aspect ratio.2. **Refine the prompt.** Rewrite the idea into a model-appropriate structured prompt: - **Nano Banana 2** → `Hyperrealistic photo: [subject] in [setting], [framing — e.g. 3/4 profile], [lighting — e.g. softbox above left], [aspect].` 3–5 specific material/shape callouts; more and the model averages. - **GPT-Image 2** → `[Composition]: [subject] with text "[exact text]", [layout], [style].` Quote the exact text to bake in. Read the refined prompt back to the user and iterate before any provider call.3. **Pick the model** from the table above.4. **Set the params.** Size / aspect ratio (`1024*1024` square, `1024*1792` 9:16, `1792*1024` 16:9), number of variations.5. **Generate.** Call the chosen Wavespeed endpoint, download the PNG(s) to `CWD/generate-image-<timestamp>/`.6. **Show the user the result** and offer to regenerate or adjust. Save the final prompt alongside the PNG.## Input- Idea (subject, scene, framing)- (optional) Reference image for identity lock (Nano Banana 2)- Aspect ratio / size- (optional) Exact in-image text (GPT-Image 2)## Output- PNG(s) at `CWD/generate-image-<timestamp>/`- Wavespeed-hosted URL(s) printed for reuse (e.g. as `image` input to `/generate-video`)- The final prompt saved alongside the PNG for iteration## Common failure modes- **Stylized / cartoony Nano Banana output** — prompt didn't anchor the model. Add "hyperrealistic" + "photograph".- **Garbled GPT-Image 2 typography** — the text wasn't quoted, or it was too long. Quote exact characters; cap at ~6 words per line.- **Background bleeding into product** — add "cutout on seamless white background, no reflections" for Nano Banana product shots.

Frequently asked questions

Generate Image