# multi-angle-set

Generates a matching multi-angle image set for product listings with locked lighting and background. Keeps logos and proportions consistent across shots.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · ★ 120
- Author: xianyu110
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/xianyu110/ecommerce-image-skills/tree/HEAD/skills/multi-angle-set/SKILL.md
- Updated: 2026-10-08
- HTML: https://affpapa.org/en/nevibecode/skills/multi-angle-set

## What it does

This skill builds structured prompts for 6 to 9 camera angles of a single product. Standard shots cover front, 45-degree angle, profile, back, top-down view, and macro details. It starts by drafting a strict identity lock for shapes, materials, and logos so creative generation never distorts real items.

Every shot shares a set lock specifying an 85mm lens, neutral grading, and softbox studio lighting. The workflow uses `gpt-image-2.5-flare` by default for fast concepts. It swaps to `gpt-image-2.5-sunburst` when tiny typography and brand marks must remain legible.

Generation runs via built-in agent image tools, a local script with `GPTIMAGE_API_KEY`, or a web link. Combining the resulting images into a 3-column grid requires Python and `pillow` installed locally.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add xianyu110/ecommerce-image-skills --skill multi-angle-set -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/multi-angle-set/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/multi-angle-set/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add xianyu110/ecommerce-image-skills --skill multi-angle-set -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/multi-angle-set/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add xianyu110/ecommerce-image-skills --skill multi-angle-set -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/multi-angle-set/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install xianyu110/ecommerce-image-skills multi-angle-set
```

2. **Manually: put the files in place**
- File: `.github/skills/multi-angle-set/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add xianyu110/ecommerce-image-skills --skill multi-angle-set -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/xianyu110/ecommerce-image-skills --path skills/multi-angle-set
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/multi-angle-set/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add xianyu110/ecommerce-image-skills --skill multi-angle-set -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/xianyu110/ecommerce-image-skills/tree/HEAD/skills/multi-angle-set/SKILL.md

## When to use it
- build consistent prompts for 6 to 9 product angles
- lock lighting, background, and focal length across all shots
- preserve labels and logos across different perspectives
- arrange generated product images into a multi-column grid

## Example prompts
- Create a 6-angle prompt set for the water bottle photo formatted for Amazon 1:1.
- Generate multi-angle prompts for this speaker and lock the logo details.
- Build a 3-column grid from all generated product angles in out/.

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 43998f0733788afa.

BEGIN THIRD-PARTY FILE 43998f0733788afa
````text
---
name: multi-angle-set
description: "Generate a consistent multi-angle product image set (front, back, left/right side, top, 45°, detail macro, packaging, in-hand) with identical lighting and background, optionally combined into a grid. Use for 多角度图, 多视角套图, 360 view, angle set, gallery images."
---

# Multi-Angle Set · 多角度套图

One product, 6–9 matching angles — same light, same background, same colour — so the gallery looks shot in one session.

> Part of [ecommerce-image-skills](https://github.com/xianyu110/ecommerce-image-skills). Works with Claude Code, Codex, Cursor and any agent that loads `SKILL.md`. Default model: GPT Image 2.5 **Sunburst**.

## Step 1 · Product identity lock (always first)

Before writing any prompt, study every reference photo and write a short **identity lock** for the product. Paste it verbatim into **every** prompt this skill produces, and never let a creative instruction override it.

```text
PRODUCT IDENTITY LOCK (do not change):
- Shape & proportions: <e.g. tall cylinder, rounded shoulders, 26 cm high, 7.5 cm wide>
- Colour & finish: <e.g. matte sage green #8FA58C body, natural bamboo lid>
- Logo & printed text: <exact spelling, font feel, position, colour — e.g. white "AURA" wordmark centred on upper body>
- Parts & details: <lid, loop, buttons, ports, seams, labels, accessories that are included>
- Must NOT appear: <accessories not in the box, extra logos, invented claims>
```

Rules:
- Only use facts visible in the photos or confirmed by the user. If something is unknown (size, capacity, material), ask or leave it out — never invent specs or certifications.
- If the user gave no photo, ask for one (front view at minimum). Text-only generation is allowed but say the result is a concept, not the real product.

## Step 2 · Pick the model

| Use **Flare** (`gpt-image-2.5-flare`, default) | Switch to **Sunburst** (`gpt-image-2.5-sunburst`) |
|---|---|
| New scenes, backgrounds, layouts, many quick variations | The product's logo / label / small text must survive exactly |
| Text-to-image concepts | Local edits: swap background, recolour, remove objects, keep everything else |
| Drafts for the user to pick from | Final hero assets and anything with dense typography |

If an endpoint only exposes other image models, use the closest equivalent and tell the user.

## Specs
- Amazon gallery: up to 9 images (7 visible on desktop), 1:1.
- Taobao/Tmall: 5 main images 800×800, plus detail screens.
- Shopify: 1:1 or 4:5; keep the same ratio for the whole set.
- Give the model **every real angle you have** (front, back, side, logo close-up) — it can't know what the back looks like.

## Shot list (default 6)
1. Front, straight on · 2. 45° front-left · 3. Side profile · 4. Back · 5. Top-down · 6. Detail macro of {lid/texture/port/logo}
````
END THIRD-PARTY FILE 43998f0733788afa

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