Google Ads Landing Page Audit
nowork-studio/notfair-plugin
Scores Google Ads landing pages on five weighted dimensions and diagnoses why high-CTR ad groups convert poorly, with concrete fixes for each page.
Diagnose high Amazon Ads ACoS by decomposing CPC, conversion rate, price, query mix, placement mix, and sample sufficiency.
Install Sealeap Amazon Acos Conversion Diagnostics
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-acos-conversion-diagnostics -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-acos-conversion-diagnostics --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/douyin/qilin/sealeap-amazon-acos-conversion-diagnostics .claude/skills/sealeap-amazon-acos-conversion-diagnostics && 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-amazon-acos-conversion-diagnostics" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-acos-conversion-diagnostics into .claude/skills/sealeap-amazon-acos-conversion-diagnostics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-acos-conversion-diagnostics", 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/douyin/qilin/sealeap-amazon-acos-conversion-diagnosticsType 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-amazon-acos-conversion-diagnostics -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-acos-conversion-diagnostics --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/douyin/qilin/sealeap-amazon-acos-conversion-diagnostics .agents/skills/sealeap-amazon-acos-conversion-diagnostics && 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-amazon-acos-conversion-diagnostics" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-acos-conversion-diagnostics into .agents/skills/sealeap-amazon-acos-conversion-diagnostics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-acos-conversion-diagnostics", 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-amazon-acos-conversion-diagnostics -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-acos-conversion-diagnostics --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/douyin/qilin/sealeap-amazon-acos-conversion-diagnostics .cursor/skills/sealeap-amazon-acos-conversion-diagnostics && 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-amazon-acos-conversion-diagnostics" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-acos-conversion-diagnostics into .cursor/skills/sealeap-amazon-acos-conversion-diagnostics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-acos-conversion-diagnostics", 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/douyin/qilin/sealeap-amazon-acos-conversion-diagnostics--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-amazon-acos-conversion-diagnostics -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-acos-conversion-diagnostics --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/douyin/qilin/sealeap-amazon-acos-conversion-diagnostics .gemini/skills/sealeap-amazon-acos-conversion-diagnostics && 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-amazon-acos-conversion-diagnostics" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-acos-conversion-diagnostics into .gemini/skills/sealeap-amazon-acos-conversion-diagnostics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-acos-conversion-diagnostics", 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-amazon-acos-conversion-diagnosticsInstalls 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-amazon-acos-conversion-diagnostics -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/douyin/qilin/sealeap-amazon-acos-conversion-diagnostics .github/skills/sealeap-amazon-acos-conversion-diagnostics && 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-amazon-acos-conversion-diagnostics" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-acos-conversion-diagnostics into .github/skills/sealeap-amazon-acos-conversion-diagnostics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-acos-conversion-diagnostics", 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-amazon-acos-conversion-diagnostics -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-amazon-acos-conversion-diagnostics --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/douyin/qilin/sealeap-amazon-acos-conversion-diagnostics .opencode/skills/sealeap-amazon-acos-conversion-diagnostics && 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-amazon-acos-conversion-diagnostics" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-acos-conversion-diagnostics into .opencode/skills/sealeap-amazon-acos-conversion-diagnostics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-acos-conversion-diagnostics", 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-amazon-acos-conversion-diagnostics- GitHub stars
- 251
- Token cost
- ~552 tokens
- SKILL.md length
- 108 words
- Files
- 4 (incl. scripts, references)
- Skills in repo
- 179
- Repo updated
- First seen
- Licence
- MIT
At a glance
Diagnose high Amazon Ads ACoS by decomposing CPC, conversion rate, price, query mix, placement mix, and sample sufficiency.
- Works in 6 steps: 统一经济口径 → 定位花费去向 → 建立转化基准 → …
- The user asks why ACoS is high
- SKILL.md covers 目标, 适用任务, 开始前要拿到 and 不可妥协的边界, plus 4 more sections
- Runs Python scripts from its folder
What it does
Sealeap Amazon Acos Conversion Diagnostics is an agent skill from xjli360/sealeap-amazon-skills. Diagnose high Amazon Ads ACoS by decomposing CPC, conversion rate, price, query mix, placement mix, and sample sufficiency. Use when the user asks why ACoS is high, whether a keyword has enough clicks, how to estimate CPA or break-even CPC, or whether to move, pause, or continue a target. Return evidence-ranked actions and keep live changes behind approval.
Its SKILL.md is about 550 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/mcp-data-plan.md` and `scripts/mcp_research.py`).
It sits in Marketing & SEO, covering Conversion rate optimization. It works with Model Context Protocol. 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
- The user asks why ACoS is high
- Whether a keyword has enough clicks
- How to estimate CPA
- Whether to move
Example prompts
- “/sealeap-amazon-acos-conversion-diagnostics”
Requirements
- Python 3
Workflow steps
6 steps, taken from the step headings in SKILL.md.
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 Amazon Acos Conversion Diagnostics loads about 552 tokens when it runs, and up to ~2.1k if it reads all its reference files. Until then it costs about 101 tokens; SKILL.md has 108 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). 108 words, ~552 tokens.
Download SKILL.mdSave it as
.claude/skills/sealeap-amazon-acos-conversion-diagnostics/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- sealeap-amazon-acos-conversion-diagnostics
- description
- Diagnose high Amazon Ads ACoS by decomposing CPC, conversion rate, price, query mix, placement mix, and sample sufficiency. Use when the user asks why ACoS is high, whether a keyword has enough clicks, how to estimate CPA or break-even CPC, or whether to move, pause, or continue a target. Return evidence-ranked actions and keep live changes behind approval.
Amazon ACoS 转化驱动诊断
目标
把笼统的高 ACoS 问题拆成 CPC、转化率、售价、流量结构和样本量问题，优先处理最能改变利润的驱动项。
适用任务
- 广告高消耗低出单的根因诊断。
- 判断关键词样本是否足以暂停、降价或继续观察。
- 按查询和广告位重新分配预算。
开始前要拿到
- 搜索词、投放、广告位、已购商品和业务报告。
- 售价、优惠、退款、Amazon 费用、COGS 和目标贡献利润。
- 历史转化率、自有品牌分析基准或明确标注的第三方估算。
缺失的数据要明确列为缺口，并把结论标成事实、估算或假设；不要补造数字。
不可妥协的边界
- 第三方类目转化率只能做先验参考，不能冒充目标 ASIN 的真实转化率。
- 不能用固定点击数作为所有词的裁决线；应结合预期转化、花费风险和置信度。
- 新品期可以容忍阶段性高 ACoS，但仍必须设置累计亏损和库存止损。
- 当前 Amazon 官方政策、帮助页、账户资格和后台实际字段优先于本 Skill 中的经验框架；规则可能变化时先核验。
- 默认提供诊断或草案。写入前展示对象、旧值、新值、影响、停止线与回退，核对用户已有授权是否覆盖对象、动作与预算；范围已明确授权时继续执行并回读核验，只有未覆盖或扩大的范围才请求批准。
- 不输出原素材的创作者身份、账号、链接、视频编号或可反查线索；当前业务证据的官方来源、采集时间和口径仍需保留。
第三方 MCP 数据
只有在本任务确实需要外部市场、竞品、关键词或公开网页证据时，才读取 references/mcp-data-plan.md，并使用 scripts/mcp_research.py。
- 先动态执行 tools/list、search-tools 和 describe，依据实时 inputSchema 构造参数，不照搬历史工具名。
- 凭证只从环境变量读取，不放进命令参数、URL、Skill、结果文件或 Git。
- tools/call 可能计费。调用前展示 Provider、工具名、无密钥参数、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。
- 第三方数据标为估算或代理证据，记录 Provider、工具、无密钥参数、查询时间和原始结果位置；失败一次后记录缺口，不反复消耗额度。
- 脱敏结果用 --output 写到 Skill 包之外的任务私有目录；不假设安装位置受仓库 .gitignore 保护，不把运行结果写入 Skill 包。
工作流
1. 统一经济口径
计算盈亏平衡 ACoS、盈亏平衡 CPA 和盈亏平衡 CPC；说明是否按销售额、净售价或贡献毛利计算。
2. 定位花费去向
按搜索词、目标、广告活动和广告位排序花费，识别预算是否被低相关查询或低效位置吸收。
3. 建立转化基准
优先使用本 ASIN 历史数据，其次同产品组，再次类目代理值；为每个基准写明时间窗和可信度。
4. 判断样本强度
根据预期转化率估算一次转化所需点击，并结合贝叶斯或区间思路标记数据充分、偏弱或不足。
5. 选择动作
高 CPC 且转化正常时降竞价或换位置；流量不相关时否定；转化显著不足时检查商品页后再暂停；数据不足时延长窗口但不突破止损。
6. 安排复测
每次只改变一个主要变量，记录前后 CPC、CVR、CPA、ACoS、订单和利润。
判断标准
- ACoS = CPC /（平均归因每单销售额 × 订单 CVR）；订单 CVR 使用归因订单 / 点击的小数值。每单一件且价格一致时，才可用单件售价近似。
- 报告中分开商品页问题、流量问题和竞价问题。
- 任何暂停建议都附样本、损失上限和恢复条件。
必须交付的结果
- ACoS 驱动树。
- 关键词与广告位样本强度表。
- 继续、降价、迁移、否定、暂停建议。
- 待批准的最小变更集与复测窗口。
结尾列出数据窗口、关键假设、证据缺口、风险和下一步；如包含待执行动作，单独放在“待批准变更”中。
© 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 3 other files (scripts, references) in amazon-skills/douyin/qilin/sealeap-amazon-acos-conversion-diagnostics of xjli360/sealeap-amazon-skills.
- SKILL.md
- agents/openai.yaml
- references/mcp-data-plan.md
- scripts/mcp_research.py
Open the folder on GitHubat commit 497d4b8
Compare with similar skills
Sealeap Amazon Acos Conversion Diagnostics 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 Amazon Acos Conversion Diagnostics this skillxjli360/sealeap-amazon-skills | 251 | — | ~552 | Automated safety check: Pass | MIT | |
| Google Ads Landing Page Auditnowork-studio/notfair-plugin | 3.9k | — | ~306 | Automated safety check: Pass | MIT | |
| 03 Danh Gia Hieu Suatminhnv0807/ai-business-skills | 609 | — | ~4.6k | Automated safety check: Pass | MIT | |
| Evaluate Skillevery-app/open-seo | 23k | — | ~1.8k | Automated safety check: Notes | MIT | |
| FLOW SEO FrameworkAgriciDaniel/claude-seo | 19k | 2 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Paywallscoreyhaines31/marketingskills | 54k | 1 repos | ~1.4k | Automated safety check: Pass | MIT |
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Questions about Sealeap Amazon Acos Conversion Diagnostics
What does Sealeap Amazon Acos Conversion Diagnostics do?
Diagnose high Amazon Ads ACoS by decomposing CPC, conversion rate, price, query mix, placement mix, and sample sufficiency. Sealeap Amazon Acos Conversion Diagnostics is an agent skill from xjli360/sealeap-amazon-skills. Diagnose high Amazon Ads ACoS by decomposing CPC, conversion rate, price, query mix, placement mix, and sample sufficiency.
When should I use Sealeap Amazon Acos Conversion Diagnostics?
Sealeap Amazon Acos Conversion Diagnostics fits situations like: the user asks why ACoS is high; whether a keyword has enough clicks; how to estimate CPA; whether to move.
How do I install Sealeap Amazon Acos Conversion Diagnostics in Claude Code?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-acos-conversion-diagnostics -a claude-code`. Or copy the skill folder (amazon-skills/douyin/qilin/sealeap-amazon-acos-conversion-diagnostics in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-amazon-acos-conversion-diagnostics in your project. Claude Code loads it when a task matches its description.
How do I install Sealeap Amazon Acos Conversion Diagnostics in Codex?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-acos-conversion-diagnostics -a codex`. Or copy the skill folder (amazon-skills/douyin/qilin/sealeap-amazon-acos-conversion-diagnostics in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-amazon-acos-conversion-diagnostics in your project. Codex loads it when a task matches its description.
Can I use Sealeap Amazon Acos Conversion Diagnostics 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-amazon-acos-conversion-diagnostics -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-amazon-acos-conversion-diagnostics, .gemini/skills/sealeap-amazon-acos-conversion-diagnostics, .github/skills/sealeap-amazon-acos-conversion-diagnostics and .opencode/skills/sealeap-amazon-acos-conversion-diagnostics in your project.
What does Sealeap Amazon Acos Conversion Diagnostics need to run?
Going by SKILL.md and its folder, Sealeap Amazon Acos Conversion Diagnostics needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Sealeap Amazon Acos Conversion Diagnostics 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 Amazon Acos Conversion Diagnostics 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 Amazon Acos Conversion Diagnostics use?
Sealeap Amazon Acos Conversion Diagnostics 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 Amazon Acos Conversion Diagnostics use?
About 552 tokens (SKILL.md is roughly 2.2k 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 1.5k tokens, read only when the agent opens those files.
What are the alternatives to Sealeap Amazon Acos Conversion Diagnostics?
Skills that share tags, products or a category with Sealeap Amazon Acos Conversion Diagnostics: Google Ads Landing Page Audit (nowork-studio/notfair-plugin, 3.9k stars), 03 Danh Gia Hieu Suat (minhnv0807/ai-business-skills, 609 stars), Evaluate Skill (every-app/open-seo, 23k stars) and FLOW SEO Framework (AgriciDaniel/claude-seo, 19k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sealeap Amazon Acos Conversion Diagnostics?
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.