Asd Ste100
danyuchn/asd-ste100-skill
A skill your agent uses when English text must be parsed without a human to resolve ambiguity — tool descriptions, error messages, inter-agent instructions, system prompts, status reports — and…
Agent skill
Sealeap Yingzhao Amazon Evidence Based Listing Copy
Draft a title, bullets and image brief for a new listing by first building product knowledge from off-Amazon sources (brand sites, buying guides, expert reviews), extracting what buyers care about…
Install Sealeap Yingzhao Amazon Evidence Based Listing Copy
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-yingzhao-amazon-evidence-based-listing-copy -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-yingzhao-amazon-evidence-based-listing-copy --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/yingzhao/sealeap-yingzhao-amazon-evidence-based-listing-copy .claude/skills/sealeap-yingzhao-amazon-evidence-based-listing-copy && 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-yingzhao-amazon-evidence-based-listing-copy" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/yingzhao/sealeap-yingzhao-amazon-evidence-based-listing-copy into .claude/skills/sealeap-yingzhao-amazon-evidence-based-listing-copy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-yingzhao-amazon-evidence-based-listing-copy", 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/yingzhao/sealeap-yingzhao-amazon-evidence-based-listing-copyType 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-yingzhao-amazon-evidence-based-listing-copy -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-yingzhao-amazon-evidence-based-listing-copy --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/yingzhao/sealeap-yingzhao-amazon-evidence-based-listing-copy .agents/skills/sealeap-yingzhao-amazon-evidence-based-listing-copy && 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-yingzhao-amazon-evidence-based-listing-copy" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/yingzhao/sealeap-yingzhao-amazon-evidence-based-listing-copy into .agents/skills/sealeap-yingzhao-amazon-evidence-based-listing-copy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-yingzhao-amazon-evidence-based-listing-copy", 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-yingzhao-amazon-evidence-based-listing-copy -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-yingzhao-amazon-evidence-based-listing-copy --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/yingzhao/sealeap-yingzhao-amazon-evidence-based-listing-copy .cursor/skills/sealeap-yingzhao-amazon-evidence-based-listing-copy && 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-yingzhao-amazon-evidence-based-listing-copy" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/yingzhao/sealeap-yingzhao-amazon-evidence-based-listing-copy into .cursor/skills/sealeap-yingzhao-amazon-evidence-based-listing-copy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-yingzhao-amazon-evidence-based-listing-copy", 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/yingzhao/sealeap-yingzhao-amazon-evidence-based-listing-copy--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-yingzhao-amazon-evidence-based-listing-copy -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-yingzhao-amazon-evidence-based-listing-copy --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/yingzhao/sealeap-yingzhao-amazon-evidence-based-listing-copy .gemini/skills/sealeap-yingzhao-amazon-evidence-based-listing-copy && 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-yingzhao-amazon-evidence-based-listing-copy" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/yingzhao/sealeap-yingzhao-amazon-evidence-based-listing-copy into .gemini/skills/sealeap-yingzhao-amazon-evidence-based-listing-copy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-yingzhao-amazon-evidence-based-listing-copy", 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-yingzhao-amazon-evidence-based-listing-copyInstalls 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-yingzhao-amazon-evidence-based-listing-copy -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/yingzhao/sealeap-yingzhao-amazon-evidence-based-listing-copy .github/skills/sealeap-yingzhao-amazon-evidence-based-listing-copy && 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-yingzhao-amazon-evidence-based-listing-copy" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/yingzhao/sealeap-yingzhao-amazon-evidence-based-listing-copy into .github/skills/sealeap-yingzhao-amazon-evidence-based-listing-copy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-yingzhao-amazon-evidence-based-listing-copy", 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-yingzhao-amazon-evidence-based-listing-copy -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-yingzhao-amazon-evidence-based-listing-copy --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/yingzhao/sealeap-yingzhao-amazon-evidence-based-listing-copy .opencode/skills/sealeap-yingzhao-amazon-evidence-based-listing-copy && 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-yingzhao-amazon-evidence-based-listing-copy" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/yingzhao/sealeap-yingzhao-amazon-evidence-based-listing-copy into .opencode/skills/sealeap-yingzhao-amazon-evidence-based-listing-copy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-yingzhao-amazon-evidence-based-listing-copy", 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-yingzhao-amazon-evidence-based-listing-copy- GitHub stars
- 251
- Token cost
- ~932 tokens
- SKILL.md length
- 182 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 179
- Repo updated
- First seen
- Licence
- MIT
At a glance
Draft a title, bullets and image brief for a new listing by first building product knowledge from off-Amazon sources (brand sites, buying guides, expert reviews), extracting what buyers care about…
- 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。 → …
- 新品 Listing 怎么写、五点写什么、消费者关心什么卖点、场景怎么写不像堆砌、标题参考谁、图片风格统一、要不要埋词
- 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 Yingzhao Amazon Evidence Based Listing Copy is an agent skill from xjli360/sealeap-amazon-skills. Draft a title, bullets and image brief for a new listing by first building product knowledge from off-Amazon sources (brand sites, buying guides, expert reviews), extracting what buyers care about, validating each candidate selling point against competitor review mentions, and only then mining competitor listings for structure and vocabulary. Every claim maps to a product fact or buyer evidence and copy stays scannable and natively phrased. Use for 新品 Listing 怎么写、五点写什么、消费者关心什么卖点、场景怎么写不像堆砌、标题参考谁、图片风格统一、要不要埋词. Do…
Its SKILL.md is about 930 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 Writing & Content, covering Copywriting. 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
- 新品 Listing 怎么写、五点写什么、消费者关心什么卖点、场景怎么写不像堆砌、标题参考谁、图片风格统一、要不要埋词
- Copy competitor
- Third-party text verbatim
- Do not use for A+ module design
Example prompts
- “/sealeap-yingzhao-amazon-evidence-based-listing-copy”
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 Yingzhao Amazon Evidence Based Listing Copy loads about 932 tokens when it runs, and up to ~3.6k if it reads all its reference files. Until then it costs about 173 tokens; SKILL.md has 182 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). 182 words, ~932 tokens.
Download SKILL.mdSave it as
.claude/skills/sealeap-yingzhao-amazon-evidence-based-listing-copy/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- sealeap-yingzhao-amazon-evidence-based-listing-copy
- description
- Draft a title, bullets and image brief for a new listing by first building product knowledge from off-Amazon sources (brand sites, buying guides, expert reviews), extracting what buyers care about, validating each candidate selling point against competitor review mentions, and only then mining competitor listings for structure and vocabulary. Every claim maps to a product fact or buyer evidence and copy stays scannable and natively phrased. Use for 新品 Listing 怎么写、五点写什么、消费者关心什么卖点、场景怎么写不像堆砌、标题参考谁、图片风格统一、要不要埋词. Do not use to copy competitor or third-party text verbatim, and do not use for A+ module design or backend attribute filling.
Amazon 精品 Listing 卖点证据写作
目标
Draft a title, bullets and image brief for a new listing by first building product knowledge from off-Amazon sources (brand sites, buying guides, expert reviews), extracting what buyers care about, validating each candidate selling point against competitor review mentions, and only then mining competitor listings for structure and vocabulary. Every claim maps to a product fact or buyer evidence and copy stays scannable and natively phrased.
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。
- “先站外后站内”是为了避免被竞品卖家的宣称误导，适合对产品尚不熟悉的场景；已有产品认知时可调整顺序，但“每个卖点有买家证据”的要求不变。
- 评论关键词提及次数只是代理指标，受评论总量、同义词与评论者用语影响；用于排序卖点优先级，不作为需求量或转化预测。
- 母语页面语法正确、可作参考，但复制第三方文案涉及版权与重复内容风险；只借鉴句式、术语和结构，文案按自己产品重新写。
- “优惠券比最低档多开一个百分点视觉折扣更大”“五点越简洁转化越高”是来源经验；以自家点击率与转化率数据校准后再定，不作为规则。
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：
- 先建产品认知笔记，暂不看 Amazon 竞品 Listing：用搜索引擎打开品牌官网、其他零售平台、专业评测与榜单、百科类页面，记录术语、材料与结构、各部件带来的好处、典型使用场景与保养注意，并标注来源；对自己不熟悉的产品，这一步做完再进入下一步。
- 提炼消费者关心点：重点阅读“如何选购这类产品”类内容与专家评测，列出买家选择时关注的属性候选清单（如舒适、耐用、透气、防滑、轻便等，按品类替换），标记每个关注点的来源。
- 用竞品评论验证关心点：在头部竞品的评论中按关键词搜索每个候选关注点，记录提及条数与评论总量，把关注点分为高频、低频、无人提及三档；写入五点的优先级按此排序，无人提及的即使卖家常写也不作为主卖点。
- 再读竞品 Listing，目的是提取而非评判：记录喜欢的标题结构、简洁的五点写法、自创的专业词汇与说明“为什么适用”的场景写法；对每个卖家宣称的点，回到第 3 步判断是否为买家关心，并核实自己产品确实具备该特性后才采用。
- 写标题与五点：每条五点只承载一个关心点，用“特性→原因→场景”说明产品为什么适合，场景选同一类相近活动而非罗列反差很大的场合；句子短、可扫读，用母语级表达，借鉴站外页面的句式与术语但不复制原文，交付前做语法与本地化校对。
- 图片与变体一致性检查：主图展示的款式必须与标题和目标搜索意图一致（如有无某个结构件），整组图片底色与风格统一，变体之间同一规范；把值得参考的竞品图片类型整理成拍摄清单，不直接使用他人图片。
- 关键词处理与终检：核对标题、五点、描述是否已自然覆盖核心搜索词，未覆盖的放入后台搜索词字段，不为埋词牺牲可读性；逐条确认每个卖点可回指产品事实或评论证据，涉及安全、认证、成分类的表述必须有资质证据，否则删除。
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：获取头部竞品 Listing 文案、评论文本与关键词反查结果，作为关心点验证与词覆盖核对的证据。
- 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
- 产品认知笔记（术语、结构与好处、场景、来源）
- 消费者关心点清单与评论验证结果（提及数、样本、档位）
- 竞品 Listing 提取表（可用结构、词汇、场景写法、需核实的宣称）
- 标题与五点草案（每条对应的关心点与证据）
- 图片拍摄清单与一致性检查记录
- 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/yingzhao/sealeap-yingzhao-amazon-evidence-based-listing-copy 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 Yingzhao Amazon Evidence Based Listing Copy 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 Yingzhao Amazon Evidence Based Listing Copy this skillxjli360/sealeap-amazon-skills | 251 | — | ~932 | Automated safety check: Pass | MIT | |
| Asd Ste100danyuchn/asd-ste100-skill | 4.3k | — | ~4.1k | Automated safety check: Pass | MIT | |
| AI Copywritermikiarlo3/ai-copywriter | 1.2k | — | ~12k | Automated safety check: Pass | MIT | |
| Brand Voice Guideluongnv89/claude-howto | 42k | — | ~609 | Automated safety check: Pass | MIT | |
| Ralph Copywritermuratcankoylan/ralph-wiggum-marketer | 778 | — | ~2.4k | Automated safety check: Pass | None | |
| Humanities Writing Companiontizzy916/humanities-writing-companion | 436 | — | ~3.4k | Automated safety check: Pass | CC-BY-NC-4.0 |
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Questions about Sealeap Yingzhao Amazon Evidence Based Listing Copy
What does Sealeap Yingzhao Amazon Evidence Based Listing Copy do?
Draft a title, bullets and image brief for a new listing by first building product knowledge from off-Amazon sources (brand sites, buying guides, expert reviews), extracting what buyers care about…. Sealeap Yingzhao Amazon Evidence Based Listing Copy is an agent skill from xjli360/sealeap-amazon-skills. Draft a title, bullets and image brief for a new listing by first building product knowledge from off-Amazon sources (brand sites, buying guides, expert reviews), extracting what buyers care about, validating each candidate selling point against competitor review mentions, and only then mining competitor listings for structure and vocabulary.
When should I use Sealeap Yingzhao Amazon Evidence Based Listing Copy?
Sealeap Yingzhao Amazon Evidence Based Listing Copy fits situations like: 新品 Listing 怎么写、五点写什么、消费者关心什么卖点、场景怎么写不像堆砌、标题参考谁、图片风格统一、要不要埋词; copy competitor; third-party text verbatim; do not use for A+ module design.
How do I install Sealeap Yingzhao Amazon Evidence Based Listing Copy in Claude Code?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-yingzhao-amazon-evidence-based-listing-copy -a claude-code`. Or copy the skill folder (amazon-skills/bilibili/yingzhao/sealeap-yingzhao-amazon-evidence-based-listing-copy in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-yingzhao-amazon-evidence-based-listing-copy in your project. Claude Code loads it when a task matches its description.
How do I install Sealeap Yingzhao Amazon Evidence Based Listing Copy in Codex?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-yingzhao-amazon-evidence-based-listing-copy -a codex`. Or copy the skill folder (amazon-skills/bilibili/yingzhao/sealeap-yingzhao-amazon-evidence-based-listing-copy in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-yingzhao-amazon-evidence-based-listing-copy in your project. Codex loads it when a task matches its description.
Can I use Sealeap Yingzhao Amazon Evidence Based Listing Copy 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-yingzhao-amazon-evidence-based-listing-copy -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-yingzhao-amazon-evidence-based-listing-copy, .gemini/skills/sealeap-yingzhao-amazon-evidence-based-listing-copy, .github/skills/sealeap-yingzhao-amazon-evidence-based-listing-copy and .opencode/skills/sealeap-yingzhao-amazon-evidence-based-listing-copy in your project.
What does Sealeap Yingzhao Amazon Evidence Based Listing Copy need to run?
Going by SKILL.md and its folder, Sealeap Yingzhao Amazon Evidence Based Listing Copy needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Sealeap Yingzhao Amazon Evidence Based Listing Copy 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 Yingzhao Amazon Evidence Based Listing Copy 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 Yingzhao Amazon Evidence Based Listing Copy use?
Sealeap Yingzhao Amazon Evidence Based Listing Copy 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 Yingzhao Amazon Evidence Based Listing Copy use?
About 932 tokens (SKILL.md is roughly 3.7k 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 2.7k tokens, read only when the agent opens those files.
What are the alternatives to Sealeap Yingzhao Amazon Evidence Based Listing Copy?
Skills that share tags, products or a category with Sealeap Yingzhao Amazon Evidence Based Listing Copy: Asd Ste100 (danyuchn/asd-ste100-skill, 4.3k stars), AI Copywriter (mikiarlo3/ai-copywriter, 1.2k stars), Brand Voice Guide (luongnv89/claude-howto, 42k stars) and Ralph Copywriter (muratcankoylan/ralph-wiggum-marketer, 778 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sealeap Yingzhao Amazon Evidence Based Listing Copy?
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.