MCP Server Builder
anthropics/skills
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Sequence Amazon keyword promotion from high-intent long-tail terms to mid-volume and head terms using stage gates, mixed ad formats, profitability checks, and exact harvesting.
MITAuto-check passed
Install Sealeap Amazon Keyword Promotion Sequencing
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-keyword-promotion-sequencing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-keyword-promotion-sequencing --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-keyword-promotion-sequencing .claude/skills/sealeap-amazon-keyword-promotion-sequencing && 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-keyword-promotion-sequencing" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-keyword-promotion-sequencing into .claude/skills/sealeap-amazon-keyword-promotion-sequencing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-keyword-promotion-sequencing", 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-keyword-promotion-sequencingType 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-keyword-promotion-sequencing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-keyword-promotion-sequencing --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-keyword-promotion-sequencing .agents/skills/sealeap-amazon-keyword-promotion-sequencing && 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-keyword-promotion-sequencing" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-keyword-promotion-sequencing into .agents/skills/sealeap-amazon-keyword-promotion-sequencing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-keyword-promotion-sequencing", 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-keyword-promotion-sequencing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-keyword-promotion-sequencing --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-keyword-promotion-sequencing .cursor/skills/sealeap-amazon-keyword-promotion-sequencing && 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-keyword-promotion-sequencing" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-keyword-promotion-sequencing into .cursor/skills/sealeap-amazon-keyword-promotion-sequencing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-keyword-promotion-sequencing", 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-keyword-promotion-sequencing--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-keyword-promotion-sequencing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-keyword-promotion-sequencing --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-keyword-promotion-sequencing .gemini/skills/sealeap-amazon-keyword-promotion-sequencing && 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-keyword-promotion-sequencing" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-keyword-promotion-sequencing into .gemini/skills/sealeap-amazon-keyword-promotion-sequencing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-keyword-promotion-sequencing", 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-keyword-promotion-sequencingInstalls 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-keyword-promotion-sequencing -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-keyword-promotion-sequencing .github/skills/sealeap-amazon-keyword-promotion-sequencing && 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-keyword-promotion-sequencing" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-keyword-promotion-sequencing into .github/skills/sealeap-amazon-keyword-promotion-sequencing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-keyword-promotion-sequencing", 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-keyword-promotion-sequencing -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-keyword-promotion-sequencing --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-keyword-promotion-sequencing .opencode/skills/sealeap-amazon-keyword-promotion-sequencing && 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-keyword-promotion-sequencing" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/qilin/sealeap-amazon-keyword-promotion-sequencing into .opencode/skills/sealeap-amazon-keyword-promotion-sequencing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-amazon-keyword-promotion-sequencing", 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-keyword-promotion-sequencing- GitHub stars
- 251
- Token cost
- ~503 tokens
- SKILL.md length
- 87 words
- Files
- 4 (incl. scripts, references)
- Skills in repo
- 179
- Repo updated
- First seen
- Licence
- MIT
At a glance
Sequence Amazon keyword promotion from high-intent long-tail terms to mid-volume and head terms using stage gates, mixed ad formats, profitability checks, and exact harvesting.
- Works in 6 steps: 阶段零准备 → 阶段一验证长尾 → 阶段二扩展中部词 → …
- The user asks which keywords to launch first
- 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 Keyword Promotion Sequencing is an agent skill from xjli360/sealeap-amazon-skills. Sequence Amazon keyword promotion from high-intent long-tail terms to mid-volume and head terms using stage gates, mixed ad formats, profitability checks, and exact harvesting. Use when the user asks which keywords to launch first, why competitor head terms do not convert for a new ASIN, or how to expand traffic without losing relevance. No ranking promises or artificial orders.
Its SKILL.md is about 500 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 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 which keywords to launch first
- Why competitor head terms do not convert for a new ASIN
- How to expand traffic without losing relevance
Example prompts
- “/sealeap-amazon-keyword-promotion-sequencing”
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 Keyword Promotion Sequencing loads about 503 tokens when it runs, and up to ~2k if it reads all its reference files. Until then it costs about 106 tokens; SKILL.md has 87 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). 87 words, ~503 tokens.
Download SKILL.mdSave it as
.claude/skills/sealeap-amazon-keyword-promotion-sequencing/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- sealeap-amazon-keyword-promotion-sequencing
- description
- Sequence Amazon keyword promotion from high-intent long-tail terms to mid-volume and head terms using stage gates, mixed ad formats, profitability checks, and exact harvesting. Use when the user asks which keywords to launch first, why competitor head terms do not convert for a new ASIN, or how to expand traffic without losing relevance. No ranking promises or artificial orders.
Amazon 关键词推广顺序
目标
先用最容易验证真实转化的查询建立基本盘，再按证据扩大到中部与核心词。
适用任务
- 新品直接打大词转化差。
- 需要规划长尾、中部和核心词的先后顺序。
- 在不同阶段组合 SP、商品投放和品牌视频。
开始前要拿到
- 关键词相关性、意图、搜索量代理、CPC、预估转化和词根关系。
- 广告类型资格、视频素材权利和预算。
- 商品转化、库存、利润和自然位置趋势。
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
- 搜索量分段不是跨类目固定阈值，应按当前市场分位数定义。
- 品牌视频或促销仅在账号有资格且素材合规时使用。
- 自然位置是观测结果，不以固定订单承诺排名。
- 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. 阶段零准备
完成 Listing、库存、利润和词库检查，为每个词标注意图与当前证据。
2. 阶段一验证长尾
用精准广告和受控发现覆盖最贴合卖点的长尾主题，优先验证 CVR 与 CPA。
3. 阶段二扩展中部词
把同词根中部词分批放入词组或其他合适匹配，按样本淘汰并保留表现者。
4. 阶段三精准承接
把通过门槛的中部词迁移到精准层，增加预算前检查与原活动重叠。
5. 阶段四测试核心词
在基本盘、库存和利润足够后，小规模测试核心词及商品投放，不一次性重押。
6. 持续收敛
把预算流向增量利润成立的层级，缩减无效泛词并观察自然侧变化。
判断标准
- 每个阶段有进入、毕业和停止条件。
- 词从一层迁移到下一层有报告证据。
- 广告类型选择与资格、素材和预算相匹配。
必须交付的结果
- 关键词分层与阶段顺序。
- 每阶段广告组合和预算职责。
- 迁移、否定与停止规则。
- 自然侧与利润监控方案。
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-keyword-promotion-sequencing 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 Keyword Promotion Sequencing 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 Keyword Promotion Sequencing this skillxjli360/sealeap-amazon-skills | 251 | — | ~503 | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 4 repos | ~1.2k | Automated safety check: Pass | MIT | |
| MCP Integration for Pluginsanthropics/claude-plugins-official | 38k | 11 repos | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Figma use_figma Plugin API Ruleswarpdotdev/warp | 65k | 4 repos | ~4.4k | Automated safety check: Pass | AGPL-3.0 | |
| Stitch to Remotion Walkthrough Videosgoogle-labs-code/stitch-skills | 8.5k | 6 repos | ~3.2k | Automated safety check: Notes | Apache-2.0 |
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Questions about Sealeap Amazon Keyword Promotion Sequencing
What does Sealeap Amazon Keyword Promotion Sequencing do?
Sequence Amazon keyword promotion from high-intent long-tail terms to mid-volume and head terms using stage gates, mixed ad formats, profitability checks, and exact harvesting. Sealeap Amazon Keyword Promotion Sequencing is an agent skill from xjli360/sealeap-amazon-skills. Sequence Amazon keyword promotion from high-intent long-tail terms to mid-volume and head terms using stage gates, mixed ad formats, profitability checks, and exact harvesting.
When should I use Sealeap Amazon Keyword Promotion Sequencing?
Sealeap Amazon Keyword Promotion Sequencing fits situations like: the user asks which keywords to launch first; why competitor head terms do not convert for a new ASIN; how to expand traffic without losing relevance.
How do I install Sealeap Amazon Keyword Promotion Sequencing in Claude Code?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-keyword-promotion-sequencing -a claude-code`. Or copy the skill folder (amazon-skills/douyin/qilin/sealeap-amazon-keyword-promotion-sequencing in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-amazon-keyword-promotion-sequencing in your project. Claude Code loads it when a task matches its description.
How do I install Sealeap Amazon Keyword Promotion Sequencing in Codex?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-keyword-promotion-sequencing -a codex`. Or copy the skill folder (amazon-skills/douyin/qilin/sealeap-amazon-keyword-promotion-sequencing in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-amazon-keyword-promotion-sequencing in your project. Codex loads it when a task matches its description.
Can I use Sealeap Amazon Keyword Promotion Sequencing 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-keyword-promotion-sequencing -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-keyword-promotion-sequencing, .gemini/skills/sealeap-amazon-keyword-promotion-sequencing, .github/skills/sealeap-amazon-keyword-promotion-sequencing and .opencode/skills/sealeap-amazon-keyword-promotion-sequencing in your project.
What does Sealeap Amazon Keyword Promotion Sequencing need to run?
Going by SKILL.md and its folder, Sealeap Amazon Keyword Promotion Sequencing needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Sealeap Amazon Keyword Promotion Sequencing 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 Keyword Promotion Sequencing 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 Keyword Promotion Sequencing use?
Sealeap Amazon Keyword Promotion Sequencing 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 Keyword Promotion Sequencing use?
About 503 tokens (SKILL.md is roughly 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 Keyword Promotion Sequencing?
Skills that share tags, products or a category with Sealeap Amazon Keyword Promotion Sequencing: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Figma use_figma Plugin API Rules (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sealeap Amazon Keyword Promotion Sequencing?
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.