Guizang Social Cards
op7418/guizang-social-card-skill
Produces social card sets for Xiaohongshu and WeChat: carousels, Live Photo motion cards and puzzle layouts, and WeChat cover pairs, rendered from single-file HTML.
Agent skill
Sealeap Hundun Amazon Lifestyle Photo Lighting System
Plan a listing's full visual content set (main image, secondary images, optional video, and A+ modules where brand-registry eligible) mapped to category needs, and art-direct lifestyle photography…
Install Sealeap Hundun Amazon Lifestyle Photo Lighting System
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-hundun-amazon-lifestyle-photo-lighting-system -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-hundun-amazon-lifestyle-photo-lighting-system --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/amazon-skills/bilibili/hundun/sealeap-hundun-amazon-lifestyle-photo-lighting-system .claude/skills/sealeap-hundun-amazon-lifestyle-photo-lighting-system && rm -rf skills-srcUse ~/.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/
Install the "sealeap-hundun-amazon-lifestyle-photo-lighting-system" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/hundun/sealeap-hundun-amazon-lifestyle-photo-lighting-system into .claude/skills/sealeap-hundun-amazon-lifestyle-photo-lighting-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-hundun-amazon-lifestyle-photo-lighting-system", 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.
$skill-installer install https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/hundun/sealeap-hundun-amazon-lifestyle-photo-lighting-systemType 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.
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-hundun-amazon-lifestyle-photo-lighting-system -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-hundun-amazon-lifestyle-photo-lighting-system --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/amazon-skills/bilibili/hundun/sealeap-hundun-amazon-lifestyle-photo-lighting-system .agents/skills/sealeap-hundun-amazon-lifestyle-photo-lighting-system && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sealeap-hundun-amazon-lifestyle-photo-lighting-system" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/hundun/sealeap-hundun-amazon-lifestyle-photo-lighting-system into .agents/skills/sealeap-hundun-amazon-lifestyle-photo-lighting-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-hundun-amazon-lifestyle-photo-lighting-system", 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.
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-hundun-amazon-lifestyle-photo-lighting-system -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-hundun-amazon-lifestyle-photo-lighting-system --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/amazon-skills/bilibili/hundun/sealeap-hundun-amazon-lifestyle-photo-lighting-system .cursor/skills/sealeap-hundun-amazon-lifestyle-photo-lighting-system && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "sealeap-hundun-amazon-lifestyle-photo-lighting-system" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/hundun/sealeap-hundun-amazon-lifestyle-photo-lighting-system into .cursor/skills/sealeap-hundun-amazon-lifestyle-photo-lighting-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-hundun-amazon-lifestyle-photo-lighting-system", 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.
$ gemini skills install https://github.com/xjli360/sealeap-amazon-skills.git --path amazon-skills/bilibili/hundun/sealeap-hundun-amazon-lifestyle-photo-lighting-system--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-hundun-amazon-lifestyle-photo-lighting-system -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-hundun-amazon-lifestyle-photo-lighting-system --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/amazon-skills/bilibili/hundun/sealeap-hundun-amazon-lifestyle-photo-lighting-system .gemini/skills/sealeap-hundun-amazon-lifestyle-photo-lighting-system && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "sealeap-hundun-amazon-lifestyle-photo-lighting-system" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/hundun/sealeap-hundun-amazon-lifestyle-photo-lighting-system into .gemini/skills/sealeap-hundun-amazon-lifestyle-photo-lighting-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-hundun-amazon-lifestyle-photo-lighting-system", 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.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-hundun-amazon-lifestyle-photo-lighting-systemInstalls 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).
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-hundun-amazon-lifestyle-photo-lighting-system -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/amazon-skills/bilibili/hundun/sealeap-hundun-amazon-lifestyle-photo-lighting-system .github/skills/sealeap-hundun-amazon-lifestyle-photo-lighting-system && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "sealeap-hundun-amazon-lifestyle-photo-lighting-system" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/hundun/sealeap-hundun-amazon-lifestyle-photo-lighting-system into .github/skills/sealeap-hundun-amazon-lifestyle-photo-lighting-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-hundun-amazon-lifestyle-photo-lighting-system", 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.
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-hundun-amazon-lifestyle-photo-lighting-system -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-hundun-amazon-lifestyle-photo-lighting-system --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/amazon-skills/bilibili/hundun/sealeap-hundun-amazon-lifestyle-photo-lighting-system .opencode/skills/sealeap-hundun-amazon-lifestyle-photo-lighting-system && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "sealeap-hundun-amazon-lifestyle-photo-lighting-system" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/hundun/sealeap-hundun-amazon-lifestyle-photo-lighting-system into .opencode/skills/sealeap-hundun-amazon-lifestyle-photo-lighting-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-hundun-amazon-lifestyle-photo-lighting-system", 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
sealeap-hundun-amazon-lifestyle-photo-lighting-system- GitHub stars
- 251
- Token cost
- ~853 tokens
- SKILL.md length
- 159 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 179
- Repo updated
- First seen
- Licence
- MIT
At a glance
Plan a listing's full visual content set (main image, secondary images, optional video, and A+ modules where brand-registry eligible) mapped to category needs, and art-direct lifestyle photography…
- Works in 4 steps: 诊断：读取现状、证据和缺口，不生成线上写入动作。 → 方案草案：输出可审核的结构、参数范围、实验和回退值。 → 执行准备：只生成待批准变更表或 API/控制台操作草案。 → …
- 副图该放什么内容、场景图怎么布光、产品和背景怎么做区隔、不同类目图片数量怎么规划、没有专业设备怎么拍场景图、A+ 图片尺寸多大
- SKILL.md covers 目标, 不可妥协的边界, 先判断任务模式 and 开始前要拿到, plus 3 more sections
- Runs Python scripts from its folder
What it does
Sealeap Hundun Amazon Lifestyle Photo Lighting System is an agent skill from xjli360/sealeap-amazon-skills. Plan a listing's full visual content set (main image, secondary images, optional video, and A+ modules where brand-registry eligible) mapped to category needs, and art-direct lifestyle photography using color-isolation, centered composition and basic multi-point lighting so the product reads clearly against its environment. Use for 副图该放什么内容、场景图怎么布光、产品和背景怎么做区隔、不同类目图片数量怎么规划、没有专业设备怎么拍场景图、A+ 图片尺寸多大. Do not use to claim a specific lighting setup guarantees higher conversion without an account-level before/after test…
Its SKILL.md is about 850 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/mcp-data-plan.md` and `references/playbook.md`).
It sits in Media & Creative. The repository describes itself as: Reusable Agent Skills for Amazon product research, listings, advertising, inventory, and operations. The licence is MIT.
When your agent uses it
- 副图该放什么内容、场景图怎么布光、产品和背景怎么做区隔、不同类目图片数量怎么规划、没有专业设备怎么拍场景图、A+ 图片尺寸多大
- Claim a specific lighting setup guarantees higher conversion without an account-level before/after test
- Skip current brand-registry eligibility checks for A+ content
Example prompts
- “/sealeap-hundun-amazon-lifestyle-photo-lighting-system”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- 诊断：读取现状、证据和缺口，不生成线上写入动作。
- 方案草案：输出可审核的结构、参数范围、实验和回退值。
- 执行准备：只生成待批准变更表或 API/控制台操作草案。
- 已批准执行：仅对用户在当前会话明确批准的对象和字段执行，并立即回读核验。
What it can do on your machine
Read from SKILL.md and the folder at commit 497d4b8. 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 1 file 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
Sealeap Hundun Amazon Lifestyle Photo Lighting System loads about 853 tokens when it runs, and up to ~3.5k if it reads all its reference files. Until then it costs about 160 tokens; SKILL.md has 159 words of instructions outside code blocks.
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.
SKILL.md
The full file from xjli360/sealeap-amazon-skills at commit 497d4b8, republished under its MIT licence (© xjli360). 159 words, ~853 tokens.
Download SKILL.mdSave it as
.claude/skills/sealeap-hundun-amazon-lifestyle-photo-lighting-system/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- sealeap-hundun-amazon-lifestyle-photo-lighting-system
- description
- Plan a listing's full visual content set (main image, secondary images, optional video, and A+ modules where brand-registry eligible) mapped to category needs, and art-direct lifestyle photography using color-isolation, centered composition and basic multi-point lighting so the product reads clearly against its environment. Use for 副图该放什么内容、场景图怎么布光、产品和背景怎么做区隔、不同类目图片数量怎么规划、没有专业设备怎么拍场景图、A+ 图片尺寸多大. Do not use to claim a specific lighting setup guarantees higher conversion without an account-level before/after test, or to skip current brand-registry eligibility checks for A+ content.
Amazon 场景图布光与图片体系规划
目标
Plan a listing's full visual content set (main image, secondary images, optional video, and A+ modules where brand-registry eligible) mapped to category needs, and art-direct lifestyle photography using color-isolation, centered composition and basic multi-point lighting so the product reads clearly against its environment.
不可妥协的边界
- 当前 Amazon 官方政策、账户资格、站点字段和一方数据优先于本 Skill 的经验框架。
- 第三方数据一律标为估算或前台观测，不得写成 Amazon 一方事实。
- 默认只读诊断和草案；任何广告、Listing、库存、促销或外部系统写操作都需逐项展示并取得明确批准。
- 一次实验只改变一个主要变量，并记录基线、样本、成功、停止和回退条件。
- 不得复制来源材料或竞品表达；输出必须按当前任务重新组织并可由现有证据支撑。
- 来源给出的像素尺寸与各站点 A+ 资格差异为特定时点信息，需以当前后台实时提示与政策为准，不作为长期不变的规范。
- 简约风格更受欢迎、特定构图/光线手法能提升点击率均为来源的经验判断，未经账户内验证前记为待验证假设。
- 场景图中使用未随附赠送的道具需明确视觉呈现不会让买家误解为赠品；来源提到部分买家会因道具产生疑虑，属于需要在图片说明或详情页澄清的风险点。
- 素材必须为自有拍摄或已获合法授权，使用无版权来源不明的图片存在侵权风险，不建议直接采用。
先判断任务模式
- 诊断：读取现状、证据和缺口，不生成线上写入动作。
- 方案草案：输出可审核的结构、参数范围、实验和回退值。
- 执行准备：只生成待批准变更表或 API/控制台操作草案。
- 已批准执行：仅对用户在当前会话明确批准的对象和字段执行，并立即回读核验。
用户未指定时采用“诊断”。
开始前要拿到
- marketplace、ASIN/SKU、产品事实和当前 Listing
- 同购买意图可比竞品、价格、评论、图片和销量
- Search Term、Placement、CTR、CVR、订单、退货和利润
- VOC、Q&A、退货原因与任何页面或广告变更日志
缺失项必须标为 NEEDS_EVIDENCE；不得猜数字、补属性或把不同站点、ASIN、变体、币种和时间窗混在一起。
工作流
先读取 references/playbook.md，确认该方法适用于当前对象。按以下顺序执行：
- 先按当前政策确认本账户可用的图片位与资格：主图 1 张（白底）、副图数量上限（含可选视频位）、A+ 内容是否已开通品牌资格及各站点是否都支持同一套模块，不假设所有站点规则一致，以当前后台为准。
- 按类目规划副图内容分工而非随意拍摄：电子类适合安排功能特写、界面或配件展示、使用场景，必要时补一段功能演示视频；服装/家居类适合安排场景图、材质细节、尺寸参照，具体分工参照同类目在售的高表现 Listing，不照搬其画面只借鉴内容类型。
- 场景图构图先做产品与环境的视觉隔离：把产品放在画面视觉中心，环境道具尽量选择弱化色彩而让产品保留原色，或反向处理，突出产品而不是环境；道具数量克制，避免喧宾夺主或让买家误以为道具随附赠送。
- 简易布光可用三点思路搭建：主光模拟自然光从正前方偏上打向产品减少生硬阴影，背景/轮廓光从主体两侧后方打向背景或人物边缘制造分离感，避免逆光或强侧光在产品上投出遮挡细节的阴影；没有专业设备时可用白色泡沫板/反光板加基础灯具搭出近似效果。
- 素材版权与合规检查：确认拍摄素材为自有拍摄或已获授权，不使用来源不明的网络图片；图片内容不得包含系统生成元素，不得展示非随附赠送的道具造成误导。
- A+ 内容按当前允许的模块尺寸制作（以后台实时提示的桌面端/移动端尺寸为准），把场景图复用到 A+ 页面时保持风格统一，避免主图、副图、A+ 三处视觉调性不一致。
- 小批量上线后对比同类目平均水平与自身历史数据，观察点击率与转化率变化，若某类场景图表现不达预期，回头检查是否道具喧宾夺主、构图偏离视觉中心或光线导致细节丢失。
最后做数据充分性检查，并把结论分成 FACT / ESTIMATE / HYPOTHESIS / UNKNOWN。若关键证据不足，状态写 HOLD。
第三方 MCP 数据
仅在自有数据不足且当前任务确实需要外部证据时，读取 references/mcp-data-plan.md，再使用 scripts/mcp_research.py。本 Skill 的外部取数目的：抓取同类目高表现 Listing 的公开图片内容类型分布，作为图片体系分工的对照参考。
- 先
doctor，再search-tools和describe；工具名及参数以实时tools/list与inputSchema为准。 - Token 只从环境变量读取。不得写入命令参数、URL、Skill、报告、日志或 Git。
tools/call或 Actor 可能计费；先展示 Provider、工具、无密钥业务参数、预计成本与输出位置，核对已有授权覆盖后才加--allow-cost；该标志不是费用上限。
必须交付的结果
- 按类目分工的图片体系清单（主图/副图/视频/A+ 模块）
- 场景图构图与布光方案（含简易设备替代方案）
- 素材版权与合规核查记录
- 上线后点击率/转化率对比记录
- 数据范围、来源、采集时间、样本与限制。
- 关键假设、待补证据、风险和不可确定项。
- 若有动作：对象、旧值、新值、预期、停止条件、回退值与审批状态。
方案状态使用 READY FOR REVIEW / DRAFT / HOLD / STOP；如已执行，另行记录实际结果及回读证据。未得到明确批准时，不得声称已修改线上对象。
© xjli360, 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 4 other files (scripts, references) in amazon-skills/bilibili/hundun/sealeap-hundun-amazon-lifestyle-photo-lighting-system of xjli360/sealeap-amazon-skills.
- SKILL.md
- agents/openai.yaml
- references/mcp-data-plan.md
- references/playbook.md
- scripts/mcp_research.py
Open the folder on GitHubat commit 497d4b8
Compare with similar skills
Sealeap Hundun Amazon Lifestyle Photo Lighting System 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Sealeap Hundun Amazon Lifestyle Photo Lighting System this skillxjli360/sealeap-amazon-skills | 251 | — | ~853 | Automated safety check: Pass | MIT | |
| Guizang Social Cardsop7418/guizang-social-card-skill | 7.4k | 1 repos | ~7.8k | Automated safety check: Pass | AGPL-3.0 | |
| Weekly Changelog Videoheygen-com/hyperframes | 60k | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | |
| Anthropic Brand Stylinganthropics/skills | 180k | 30 repos | ~559 | Automated safety check: Pass | Apache-2.0 | |
| MoneyPrinterTurbo Video Generatorharry0703/MoneyPrinterTurbo | 130k | — | ~2.1k | Automated safety check: Warn | MIT | |
| HyperFrames Media Useheygen-com/hyperframes | 60k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 |
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Questions about Sealeap Hundun Amazon Lifestyle Photo Lighting System
What does Sealeap Hundun Amazon Lifestyle Photo Lighting System do?
Plan a listing's full visual content set (main image, secondary images, optional video, and A+ modules where brand-registry eligible) mapped to category needs, and art-direct lifestyle photography…. Sealeap Hundun Amazon Lifestyle Photo Lighting System is an agent skill from xjli360/sealeap-amazon-skills. Plan a listing's full visual content set (main image, secondary images, optional video, and A+ modules where brand-registry eligible) mapped to category needs, and art-direct lifestyle photography using color-isolation, centered composition and basic multi-point lighting so the product reads clearly against its environment.
When should I use Sealeap Hundun Amazon Lifestyle Photo Lighting System?
Sealeap Hundun Amazon Lifestyle Photo Lighting System fits situations like: 副图该放什么内容、场景图怎么布光、产品和背景怎么做区隔、不同类目图片数量怎么规划、没有专业设备怎么拍场景图、A+ 图片尺寸多大; claim a specific lighting setup guarantees higher conversion without an account-level before/after test; skip current brand-registry eligibility checks for A+ content.
How do I install Sealeap Hundun Amazon Lifestyle Photo Lighting System in Claude Code?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-hundun-amazon-lifestyle-photo-lighting-system -a claude-code`. Or copy the skill folder (amazon-skills/bilibili/hundun/sealeap-hundun-amazon-lifestyle-photo-lighting-system in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-hundun-amazon-lifestyle-photo-lighting-system in your project. Claude Code loads it when a task matches its description.
How do I install Sealeap Hundun Amazon Lifestyle Photo Lighting System in Codex?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-hundun-amazon-lifestyle-photo-lighting-system -a codex`. Or copy the skill folder (amazon-skills/bilibili/hundun/sealeap-hundun-amazon-lifestyle-photo-lighting-system in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-hundun-amazon-lifestyle-photo-lighting-system in your project. Codex loads it when a task matches its description.
Can I use Sealeap Hundun Amazon Lifestyle Photo Lighting System 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 xjli360/sealeap-amazon-skills --skill sealeap-hundun-amazon-lifestyle-photo-lighting-system -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sealeap-hundun-amazon-lifestyle-photo-lighting-system, .gemini/skills/sealeap-hundun-amazon-lifestyle-photo-lighting-system, .github/skills/sealeap-hundun-amazon-lifestyle-photo-lighting-system and .opencode/skills/sealeap-hundun-amazon-lifestyle-photo-lighting-system in your project.
What does Sealeap Hundun Amazon Lifestyle Photo Lighting System need to run?
Going by SKILL.md and its folder, Sealeap Hundun Amazon Lifestyle Photo Lighting System needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Sealeap Hundun Amazon Lifestyle Photo Lighting System 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 Sealeap Hundun Amazon Lifestyle Photo Lighting System 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 Sealeap Hundun Amazon Lifestyle Photo Lighting System use?
Sealeap Hundun Amazon Lifestyle Photo Lighting System 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 Sealeap Hundun Amazon Lifestyle Photo Lighting System use?
About 853 tokens (SKILL.md is roughly 3.4k 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 2.6k tokens, read only when the agent opens those files.
What are the alternatives to Sealeap Hundun Amazon Lifestyle Photo Lighting System?
Skills that share tags, products or a category with Sealeap Hundun Amazon Lifestyle Photo Lighting System: Guizang Social Cards (op7418/guizang-social-card-skill, 7.4k stars), Weekly Changelog Video (heygen-com/hyperframes, 60k stars), Anthropic Brand Styling (anthropics/skills, 180k stars) and MoneyPrinterTurbo Video Generator (harry0703/MoneyPrinterTurbo, 130k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sealeap Hundun Amazon Lifestyle Photo Lighting System?
xjli360 (a GitHub user) maintains it in xjli360/sealeap-amazon-skills, which has 251 GitHub stars. The repository holds 179 skills in this directory. The repository was last updated on September 28, 2026.
Source: xjli360/sealeap-amazon-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.