Install the "ngs-amazon-image-studio" agent skill from https://github.com/binggandata/bggg-skills/tree/main/ngs-amazon-image-studio into .claude/skills/ngs-amazon-image-studio/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ngs-amazon-image-studio", then confirm the skill loads.
Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
skills CLI
$ npx skills add binggandata/bggg-skills --skill ngs-amazon-image-studio -a codex
Project install goes to .agents/skills/; add -g for ~/.codex/skills/.
Install the "ngs-amazon-image-studio" agent skill from https://github.com/binggandata/bggg-skills/tree/main/ngs-amazon-image-studio into .agents/skills/ngs-amazon-image-studio/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ngs-amazon-image-studio", then confirm the skill loads.
Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
skills CLI
$ npx skills add binggandata/bggg-skills --skill ngs-amazon-image-studio -a cursor
Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.
Install the "ngs-amazon-image-studio" agent skill from https://github.com/binggandata/bggg-skills/tree/main/ngs-amazon-image-studio into .cursor/skills/ngs-amazon-image-studio/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ngs-amazon-image-studio", then confirm the skill loads.
Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
skills CLI
$ npx skills add binggandata/bggg-skills --skill ngs-amazon-image-studio -a gemini-cli
Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.
Install the "ngs-amazon-image-studio" agent skill from https://github.com/binggandata/bggg-skills/tree/main/ngs-amazon-image-studio into .gemini/skills/ngs-amazon-image-studio/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ngs-amazon-image-studio", then confirm the skill loads.
Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
skills CLI
$ npx skills add binggandata/bggg-skills --skill ngs-amazon-image-studio -a github-copilot
Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.
Install the "ngs-amazon-image-studio" agent skill from https://github.com/binggandata/bggg-skills/tree/main/ngs-amazon-image-studio into .github/skills/ngs-amazon-image-studio/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ngs-amazon-image-studio", then confirm the skill loads.
GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
skills CLI
$ npx skills add binggandata/bggg-skills --skill ngs-amazon-image-studio -a opencode
OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
Install the "ngs-amazon-image-studio" agent skill from https://github.com/binggandata/bggg-skills/tree/main/ngs-amazon-image-studio into .opencode/skills/ngs-amazon-image-studio/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ngs-amazon-image-studio", then confirm the skill loads.
OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
Skill name
ngs-amazon-image-studio
GitHub stars
605
Token cost
~2.4k tokens
SKILL.md length
315 words
Files
17 (incl. scripts, references)
Skills in repo
13
Repo updated
First seen
Licence
MIT
At a glance
Generate Amazon and cross-border ecommerce product images from a product business card.
Works in 6 steps: 白底图 white-background → 展示图 showcase → 卖点图 selling-point → …
The user asks for a white-background image
SKILL.md covers 目标, 强制执行顺序, 第一步:先收产品业务卡 and 第二步:再问用户生什么图和尺寸, plus 8 more sections
Runs Python scripts from its folder
What it does
Ngs Amazon Image Studio is an agent skill from binggandata/bggg-skills. Generate Amazon and cross-border ecommerce product images from a product business card. Use when the user asks for a white-background image, showcase image, selling-point image, hero image, detail image, lifestyle image, one or more ecommerce images, or a complete image set. Always collect the business card first, then confirm image types, output location, filenames, and the generation plan before creating images.
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 19 other files, including scripts and reference files (for example `references/business-card.md`, `references/competitor-benchmark.md` and `references/creative-direction.md`).
It sits in Research & Science, covering Bioinformatics and E-commerce operations. The repository describes itself as: Open-source Codex skills from BGGG. The licence is MIT.
When your agent uses it
The user asks for a white-background image
Selling-point image
Lifestyle image
More ecommerce images
Example prompts
“/ngs-amazon-image-studio”
Requirements
Python 3
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
1白底图 white-background
2展示图 showcase
3卖点图 selling-point
4英雄图 hero
5细节图 detail
6场景图 lifestyle
What it can do on your machine
Read from SKILL.md and the folder at commit 1034ee5. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 2 files in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Ngs Amazon Image Studio loads about 2.4k tokens when it runs, and up to ~38k if it reads all its reference files. Until then it costs about 110 tokens; SKILL.md has 315 words of instructions outside code blocks.
Always· name and description, kept in context so the agent knows when to use it
~110
When it runs· the whole SKILL.md, loaded when a task matches
~2.4k
With references· SKILL.md plus every file in references/, read only if the agent opens them
~38k
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
Download SKILL.mdSave it as .claude/skills/ngs-amazon-image-studio/SKILL.md (or your agent's skills folder). This skill also uses 16 other files; get the full folder from GitHub.
name
ngs-amazon-image-studio
description
Generate Amazon and cross-border ecommerce product images from a product business card. Use when the user asks for a white-background image, showcase image, selling-point image, hero image, detail image, lifestyle image, one or more ecommerce images, or a complete image set. Always collect the business card first, then confirm image types, output location, filenames, and the generation plan before creating images.
NGS Amazon Image Studio
目标
根据用户提交的产品业务卡,生成一张、多张或整套跨境电商商品图。只支持以下六类:
白底图 white-background
展示图 showcase
卖点图 selling-point
英雄图 hero
细节图 detail
场景图 lifestyle
整套模式默认包含以上六类各 1 张。用户未明确要求整套时,不得自行扩充为整套。
本 Skill 不负责 A+ 页面、不上传 Amazon 或其他电商后台,也不生成独立的尺寸图、成分图、模特图、HOW TO USE 图或使用对比图。尺寸、成分、人物和使用步骤只有在用户选定的六类图片确实需要时,作为画面内容处理,不作为独立图片入口。
Ngs Amazon Image Studio next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
Ngs Amazon Image Studio compared with similar skills
Skill
Stars
Used in
Tokens
Auto-check
Licence
Repo updated
Ngs Amazon Image Studio this skillbinggandata/bggg-skills
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Generate Amazon and cross-border ecommerce product images from a product business card. Ngs Amazon Image Studio is an agent skill from binggandata/bggg-skills. Generate Amazon and cross-border ecommerce product images from a product business card.
When should I use Ngs Amazon Image Studio?
Ngs Amazon Image Studio fits situations like: the user asks for a white-background image; selling-point image; lifestyle image; more ecommerce images.
How do I install Ngs Amazon Image Studio in Claude Code?
Run `npx skills add binggandata/bggg-skills --skill ngs-amazon-image-studio -a claude-code`. Or copy the skill folder (ngs-amazon-image-studio in binggandata/bggg-skills) into .claude/skills/ngs-amazon-image-studio in your project. Claude Code loads it when a task matches its description.
How do I install Ngs Amazon Image Studio in Codex?
Run `npx skills add binggandata/bggg-skills --skill ngs-amazon-image-studio -a codex`. Or copy the skill folder (ngs-amazon-image-studio in binggandata/bggg-skills) into .agents/skills/ngs-amazon-image-studio in your project. Codex loads it when a task matches its description.
Can I use Ngs Amazon Image Studio in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add binggandata/bggg-skills --skill ngs-amazon-image-studio -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ngs-amazon-image-studio, .gemini/skills/ngs-amazon-image-studio, .github/skills/ngs-amazon-image-studio and .opencode/skills/ngs-amazon-image-studio in your project.
What does Ngs Amazon Image Studio need to run?
Going by SKILL.md and its folder, Ngs Amazon Image Studio needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Ngs Amazon Image Studio access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Ngs Amazon Image Studio safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Ngs Amazon Image Studio use?
Ngs Amazon Image Studio is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Ngs Amazon Image Studio use?
About 2.4k tokens (SKILL.md is roughly 9.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 36k tokens, read only when the agent opens those files.
What are the alternatives to Ngs Amazon Image Studio?
Skills that share tags, products or a category with Ngs Amazon Image Studio: Mlsys Writing Style (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars), Alphagenome Single Variant Analysis (google-deepmind/science-skills, 3.2k stars), 13C Metabolic Flux Analysis (K-Dense-AI/scientific-agent-skills, 48k stars) and Clinvar Database (google-deepmind/science-skills, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Ngs Amazon Image Studio?
binggandata (a GitHub user) maintains it in binggandata/bggg-skills, which has 605 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on August 13, 2026.
Source: binggandata/bggg-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.