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Agent skill
Sealeap Yazi Amazon Ad Metric Tier Targeting Bid Plan
Diagnose Sponsored Products/Brands/Display performance through a layered metric model (exposure-click-spend-order, cost, conversion-efficiency and share-of-total layers), determine the current…
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Install Sealeap Yazi Amazon Ad Metric Tier Targeting Bid Plan
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan --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/weixin/yazi/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan .claude/skills/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan && 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-yazi-amazon-ad-metric-tier-targeting-bid-plan" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/yazi/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan into .claude/skills/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan", 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/weixin/yazi/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-planType 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-yazi-amazon-ad-metric-tier-targeting-bid-plan -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan --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/weixin/yazi/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan .agents/skills/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan && 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-yazi-amazon-ad-metric-tier-targeting-bid-plan" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/yazi/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan into .agents/skills/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan", 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-yazi-amazon-ad-metric-tier-targeting-bid-plan -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan --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/weixin/yazi/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan .cursor/skills/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan && 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-yazi-amazon-ad-metric-tier-targeting-bid-plan" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/yazi/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan into .cursor/skills/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan", 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/weixin/yazi/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan--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-yazi-amazon-ad-metric-tier-targeting-bid-plan -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan --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/weixin/yazi/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan .gemini/skills/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan && 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-yazi-amazon-ad-metric-tier-targeting-bid-plan" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/yazi/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan into .gemini/skills/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan", 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-yazi-amazon-ad-metric-tier-targeting-bid-planInstalls 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-yazi-amazon-ad-metric-tier-targeting-bid-plan -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/weixin/yazi/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan .github/skills/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan && 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-yazi-amazon-ad-metric-tier-targeting-bid-plan" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/yazi/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan into .github/skills/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan", 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-yazi-amazon-ad-metric-tier-targeting-bid-plan -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-yazi-amazon-ad-metric-tier-targeting-bid-plan --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/weixin/yazi/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan .opencode/skills/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan && 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-yazi-amazon-ad-metric-tier-targeting-bid-plan" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/weixin/yazi/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan into .opencode/skills/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan", 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-yazi-amazon-ad-metric-tier-targeting-bid-plan- GitHub stars
- 251
- Token cost
- ~981 tokens
- SKILL.md length
- 200 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 179
- Repo updated
- First seen
- Licence
- MIT
At a glance
Diagnose Sponsored Products/Brands/Display performance through a layered metric model (exposure-click-spend-order, cost, conversion-efficiency and share-of-total layers), determine the current…
- 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。 → …
- 广告指标一堆看不懂怎么理清、ACOS 高是不是广告不好、该投关键词还是投 ASIN、竞价怎么定、新品和老品预算怎么分配、标品和非标品广告架构怎么搭
- 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 Yazi Amazon Ad Metric Tier Targeting Bid Plan is an agent skill from xjli360/sealeap-amazon-skills. Diagnose Sponsored Products/Brands/Display performance through a layered metric model (exposure-click-spend-order, cost, conversion-efficiency and share-of-total layers), determine the current advertising objective for the listing's lifecycle stage, then build a keyword/ASIN targeting list from relevance-volume quadrants and back-calculate bid and budget from the account's own margin data. Every formula input is treated as an account-specific variable rather than a fixed constant. Use for 广告指标一堆看不懂怎么理清、ACOS…
Its SKILL.md is about 980 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`).
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
- 广告指标一堆看不懂怎么理清、ACOS 高是不是广告不好、该投关键词还是投 ASIN、竞价怎么定、新品和老品预算怎么分配、标品和非标品广告架构怎么搭
- Justify high ACOS
- A large new-listing budget without lifecycle and margin evidence
- Do not use to copy a category CPC benchmark as a bid without checking current auction data
Example prompts
- “/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan”
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 Yazi Amazon Ad Metric Tier Targeting Bid Plan loads about 981 tokens when it runs, and up to ~3.7k if it reads all its reference files. Until then it costs about 205 tokens; SKILL.md has 200 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). 200 words, ~981 tokens.
Download SKILL.mdSave it as
.claude/skills/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan
- description
- Diagnose Sponsored Products/Brands/Display performance through a layered metric model (exposure-click-spend-order, cost, conversion-efficiency and share-of-total layers), determine the current advertising objective for the listing's lifecycle stage, then build a keyword/ASIN targeting list from relevance-volume quadrants and back-calculate bid and budget from the account's own margin data. Every formula input is treated as an account-specific variable rather than a fixed constant. Use for 广告指标一堆看不懂怎么理清、ACOS 高是不是广告不好、该投关键词还是投 ASIN、竞价怎么定、新品和老品预算怎么分配、标品和非标品广告架构怎么搭. Do not use to justify high ACOS or a large new-listing budget without lifecycle and margin evidence, and do not use to copy a category CPC benchmark as a bid without checking current auction data.
Amazon 广告分层诊断与选词定竞价
目标
Diagnose Sponsored Products/Brands/Display performance through a layered metric model (exposure-click-spend-order, cost, conversion-efficiency and share-of-total layers), determine the current advertising objective for the listing's lifecycle stage, then build a keyword/ASIN targeting list from relevance-volume quadrants and back-calculate bid and budget from the account's own margin data. Every formula input is treated as an account-specific variable rather than a fixed constant.
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。
- 来源给出的相关性判定占比、点击率提升幅度、CPC 参考区间等均为经验观察或特定品类样本，需按自身账户与品类重新校准，不作为通用阈值直接使用。
- 竞价公式按目标 ACOS 反推 CPC 假设转化率与客单价保持稳定，实际会随广告位、素材与季节波动，公式结果只作为起始竞价，需要用实际点击与转化数据持续修正。
- 预算按毛利润或销售额比例分配的具体区间是经验参考，不同品类、客单价与竞争强度下应有不同区间，需以账户自身盈亏平衡点作为分配依据。
- 广告订单占比的合理区间因标品/非标品和品类而异，不能脱离账户历史数据直接套用来源给出的区间。
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、店铺、ASIN/SKU、广告类型和目标
- 同口径的 Campaign、Targeting、Search Term、Placement 与 Advertised Product 报告
- 售价、优惠、COGS、Amazon 费用、退款与目标贡献利润
- 库存、Buy Box、Listing、评论和同期市场事件
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：
- 先按基础指标（曝光/点击/花费/订单）到成本指标（CPC/CPA）到转化效率指标（CTR/广告转化率/ACOS）到占比指标（广告订单占比/TACOS）逐层核对，定位问题出现在漏斗的哪一层，而不是只看 ACOS 一个数字下结论。
- 结合链接所处阶段判断当前广告目标（推排名、拓词拓流、提升关联流量、盈利、扩流放量五类中的哪一类或组合），推排名阶段允许 ACOS 阶段性偏高，但需有自然排名或自然流量同步改善的证据支撑，否则回到问题排查。
- 构建关键词库：从若干同赛道表现较好的竞品 ASIN 反查流量词，按自然结果中同赛道商品占比判定相关性强弱，再用相关性与流量大小画四象限，优先选流量大且相关性强的词，预算有限时选流量小但相关性强的词起量。
- 构建 ASIN 定投清单：合并外观或功能相似的竞品 ASIN、自身广告报告中表现好的 ASIN、通过购买行为报告发现的交叉销售 ASIN 三类来源，按各自转化数据决定分组密度。
- 定竞价时按数据可得性和目标选择方法：能接受快速试错就用平台建议值上浮测试；预算有限就用建议值小幅递增并观察数天一调；需要控制盈利就用目标 ACOS 反推 CPC；有长期品类经验则参考自身历史成交 CPC 区间，四种方法互相校验而非只用一种。
- 分标品与非标品设置不同预算结构：标品把多数预算集中到高相关性核心词以推排名，非标品把多数预算分散到自动广告、广泛匹配与再营销以扩大流量入口；新品按目标出单量倒推预算，老品按现有毛利或销售额比例设定预算上限。
- 每轮调整后回读 TACOS 与 ACOS、广告订单占比的联动变化：TACOS 过高时先判断是 ACOS 高还是广告订单占比高，分别对症调整竞价或自然流量建设，而不是笼统加大或砍掉预算。
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：获取竞品 ASIN 的公开流量词反查结果与外观相似匹配，补充关键词库与定投清单的第三方证据。
- 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
- 广告指标分层诊断表（基础/成本/转化效率/占比四层）
- 广告目标判定记录（推排名/拓流/关联/盈利/扩量）
- 关键词象限分类与预算倾斜草案
- ASIN 定投清单（按来源分类）
- 竞价与预算测算表（含账户自身校准依据）
- 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/weixin/yazi/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan 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 Yazi Amazon Ad Metric Tier Targeting Bid Plan 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 Yazi Amazon Ad Metric Tier Targeting Bid Plan this skillxjli360/sealeap-amazon-skills | 251 | — | ~981 | Automated safety check: Pass | MIT | |
| Brand Guidelinesalirezarezvani/claude-skills | 28k | 1 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Anthropic Brand Stylinganthropics/skills | 180k | 30 repos | ~559 | Automated safety check: Pass | Apache-2.0 | |
| Brand Extractnexu-io/open-design | 100k | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Brand Guidelinesnexu-io/open-design | 100k | — | ~346 | Automated safety check: Pass | Apache-2.0 | |
| Brand Discoveryaffaan-m/ECC | 277k | 1 repos | ~1.9k | Automated safety check: Pass | MIT |
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Questions about Sealeap Yazi Amazon Ad Metric Tier Targeting Bid Plan
What does Sealeap Yazi Amazon Ad Metric Tier Targeting Bid Plan do?
Diagnose Sponsored Products/Brands/Display performance through a layered metric model (exposure-click-spend-order, cost, conversion-efficiency and share-of-total layers), determine the current…. Sealeap Yazi Amazon Ad Metric Tier Targeting Bid Plan is an agent skill from xjli360/sealeap-amazon-skills. Diagnose Sponsored Products/Brands/Display performance through a layered metric model (exposure-click-spend-order, cost, conversion-efficiency and share-of-total layers), determine the current advertising objective for the listing's lifecycle stage, then build a keyword/ASIN targeting list from relevance-volume quadrants and back-calculate bid and budget from the account's own margin data.
When should I use Sealeap Yazi Amazon Ad Metric Tier Targeting Bid Plan?
Sealeap Yazi Amazon Ad Metric Tier Targeting Bid Plan fits situations like: 广告指标一堆看不懂怎么理清、ACOS 高是不是广告不好、该投关键词还是投 ASIN、竞价怎么定、新品和老品预算怎么分配、标品和非标品广告架构怎么搭; justify high ACOS; A large new-listing budget without lifecycle and margin evidence; do not use to copy a category CPC benchmark as a bid without checking current auction data.
How do I install Sealeap Yazi Amazon Ad Metric Tier Targeting Bid Plan in Claude Code?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan -a claude-code`. Or copy the skill folder (amazon-skills/weixin/yazi/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan in your project. Claude Code loads it when a task matches its description.
How do I install Sealeap Yazi Amazon Ad Metric Tier Targeting Bid Plan in Codex?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan -a codex`. Or copy the skill folder (amazon-skills/weixin/yazi/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan in your project. Codex loads it when a task matches its description.
Can I use Sealeap Yazi Amazon Ad Metric Tier Targeting Bid Plan 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-yazi-amazon-ad-metric-tier-targeting-bid-plan -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-yazi-amazon-ad-metric-tier-targeting-bid-plan, .gemini/skills/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan, .github/skills/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan and .opencode/skills/sealeap-yazi-amazon-ad-metric-tier-targeting-bid-plan in your project.
What does Sealeap Yazi Amazon Ad Metric Tier Targeting Bid Plan need to run?
Going by SKILL.md and its folder, Sealeap Yazi Amazon Ad Metric Tier Targeting Bid Plan needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Sealeap Yazi Amazon Ad Metric Tier Targeting Bid Plan 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 Yazi Amazon Ad Metric Tier Targeting Bid Plan 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 Yazi Amazon Ad Metric Tier Targeting Bid Plan use?
Sealeap Yazi Amazon Ad Metric Tier Targeting Bid Plan 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 Yazi Amazon Ad Metric Tier Targeting Bid Plan use?
About 981 tokens (SKILL.md is roughly 3.9k 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 Yazi Amazon Ad Metric Tier Targeting Bid Plan?
Skills that share tags, products or a category with Sealeap Yazi Amazon Ad Metric Tier Targeting Bid Plan: Brand Guidelines (alirezarezvani/claude-skills, 28k stars), Anthropic Brand Styling (anthropics/skills, 180k stars), Brand Extract (nexu-io/open-design, 100k stars) and Brand Guidelines (nexu-io/open-design, 100k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sealeap Yazi Amazon Ad Metric Tier Targeting Bid Plan?
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.