Agent skill

Product Image Direction

by T8mars in T8mars/T8-penguin-canvas

Turn one supplied product image and a short brief into one product-led advertising image.

MITAuto-check passedFrontend & Design

Install Product Image Direction

skills CLI
$ npx skills add T8mars/T8-penguin-canvas --skill product-image-direction -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install T8mars/T8-penguin-canvas product-image-direction --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/T8mars/T8-penguin-canvas.git skills-src && mkdir -p .claude/skills && cp -r skills-src/resources/creator-skills/product-image-direction .claude/skills/product-image-direction && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
product-image-direction
GitHub stars
615
Token cost
~268 tokens
SKILL.md length
14 words
Files
2 (incl. references)
Skills in repo
4
Repo updated
First seen
Licence
MIT

At a glance

Turn one supplied product image and a short brief into one product-led advertising image.

  • A new product scene
  • SKILL.md covers 从素材到方向 and 交付与修改
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Not exact pixel editing

What it does

Product Image Direction is an agent skill from T8mars/T8-penguin-canvas. Turn one supplied product image and a short brief into one product-led advertising image. Use for a new product scene or composition, not exact pixel editing, typography production, or a batch campaign.

Its SKILL.md is about 270 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/product-checks.md`).

It sits in Frontend & Design, covering Typography. The licence is MIT.

When your agent uses it

  • A new product scene
  • Not exact pixel editing
  • Typography production
  • A batch campaign

Example prompts

  • “/product-image-direction”

What it can do on your machine

Read from SKILL.md and the folder at commit 7ba4ede. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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

Product Image Direction loads about 268 tokens when it runs, and up to ~480 if it reads all its reference files. Until then it costs about 57 tokens; SKILL.md has 14 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~57
When it runs · the whole SKILL.md, loaded when a task matches
~268
With references · SKILL.md plus every file in references/, read only if the agent opens them
~480

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from T8mars/T8-penguin-canvas at commit 7ba4ede, republished under its MIT licence (© T8mars). 14 words, ~268 tokens.

Download SKILL.mdSave it as .claude/skills/product-image-direction/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
product-image-direction
description
Turn one supplied product image and a short brief into one product-led advertising image. Use for a new product scene or composition, not exact pixel editing, typography production, or a batch campaign.
license
MIT
metadata.version
1.0.0

商品主视觉 / Product-led image

把用户的一张商品图变成一张有明确卖点、可信材质和清晰视觉层级的广告创意图。跟随用户使用的语言;英文需求用英文交付。尊重用户指定的风格、比例、受众和保留范围,不把所有产品做成同一种奢华棚拍。

从素材到方向

先区分看得见的产品事实、用户明确提供的事实和需要保留的不确定性。保留主体形状、包装比例、配色、材质、可辨认的标志及数量;不要从模糊图中猜品牌、成分、价格、功效或认证。

没有商品图时,只问用户提供哪张商品图,不凭空替换商品。用户给多张图且主商品不明确时,只问哪一张作为本次主体;其他图不能悄悄变成混合产品。没有额外要求时,以单主体、适度留白、清晰材质光和一张成品为起点,比例优先跟随输入。不要重复询问已给出的信息。

从用户目标选择一个视觉动作:例如以背光说明透明材质、以近景表现触感、以相关生活场景说明用途。装饰必须服务主体,不加入未经要求的促销标、认证章或道具品牌。最终完整提示词应讲清主体保留、场景关系、构图、光线、材质和明确禁止的改动,避免堆砌互相冲突的风格词。

交付与修改

用户只要方向或提示词时,交付完整文本,不安排生成。用户明确要成图时,先简短说明方案,再通过宿主已有的图片动作与生成确认完成;说明、提示词和规划都不等于图片已经生成。

长提示词放入完整作品,聊天仅说明这版解决了什么。用户调整背景、光线等局部要求时,只改变相关描述;保留未要求变化的产品事实与已接受方向。宿主只支持整图生成时,明确说明不能保证逐像素局部编辑,不声称主体绝对不变。

生成后用 产品验收要点 对照原图。无法可靠读出的文字标为待核对,不以“高清”“商业级”替代检查。不要自动反复付费重绘或覆盖已采用作品。

© T8mars, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in resources/creator-skills/product-image-direction of T8mars/T8-penguin-canvas.

  • SKILL.md
  • references/product-checks.md

Open the folder on GitHubat commit 7ba4ede

Compare with similar skills

Product Image Direction 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.

Product Image Direction compared with similar skills
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Product Image Direction this skillT8mars/T8-penguin-canvas615—~268Automated safety check: PassMIT
Impeccablebestofjs/bestofjs3.1k26 repos~2.6kAutomated safety check: PassMIT
Tailwindcss Developmentanonaddy/anonaddy4.9k10 repos~865Automated safety check: PassMIT
Design SystemOhh-889/skyroc79511 repos~1.7kAutomated safety check: PassMIT
Make Interfaces Feel Bettersamuelclay/NewsBlur7.6k10 repos~1.5kAutomated safety check: PassMIT
UI UX Pro Maxsaoudi-h/solar-icons19018 repos~11kAutomated safety check: NotesCustom licence

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Questions about Product Image Direction

What does Product Image Direction do?

Turn one supplied product image and a short brief into one product-led advertising image. Product Image Direction is an agent skill from T8mars/T8-penguin-canvas. Turn one supplied product image and a short brief into one product-led advertising image.

When should I use Product Image Direction?

Product Image Direction fits situations like: A new product scene; not exact pixel editing; typography production; A batch campaign.

How do I install Product Image Direction in Claude Code?

Run `npx skills add T8mars/T8-penguin-canvas --skill product-image-direction -a claude-code`. Or copy the skill folder (resources/creator-skills/product-image-direction in T8mars/T8-penguin-canvas) into .claude/skills/product-image-direction in your project. Claude Code loads it when a task matches its description.

How do I install Product Image Direction in Codex?

Run `npx skills add T8mars/T8-penguin-canvas --skill product-image-direction -a codex`. Or copy the skill folder (resources/creator-skills/product-image-direction in T8mars/T8-penguin-canvas) into .agents/skills/product-image-direction in your project. Codex loads it when a task matches its description.

Can I use Product Image Direction 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 T8mars/T8-penguin-canvas --skill product-image-direction -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/product-image-direction, .gemini/skills/product-image-direction, .github/skills/product-image-direction and .opencode/skills/product-image-direction in your project.

What does Product Image Direction need to run?

SKILL.md names no scripts, command-line tools or credentials: Product Image Direction is instructions for the agent only.

Does Product Image Direction 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 Product Image Direction 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. Review the folder before installing.

What licence does Product Image Direction use?

Product Image Direction is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Product Image Direction use?

About 268 tokens (SKILL.md is roughly 1.1k 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 212 tokens, read only when the agent opens those files.

What are the alternatives to Product Image Direction?

Skills that share tags, products or a category with Product Image Direction: Impeccable (bestofjs/bestofjs, 3.1k stars), Tailwindcss Development (anonaddy/anonaddy, 4.9k stars), Design System (Ohh-889/skyroc, 795 stars) and Make Interfaces Feel Better (samuelclay/NewsBlur, 7.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Product Image Direction?

T8mars (a GitHub user) maintains it in T8mars/T8-penguin-canvas, which has 615 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on October 9, 2026.

Source: T8mars/T8-penguin-canvas on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.