Agent skill

Sealeap Xiezhi Amazon Seasonal Keyword Growth Discovery

by xjli360 in xjli360/sealeap-amazon-skills

Discover seasonal Amazon micro-niches from accelerating, moderate-volume keywords and then expand from the underlying event scenario.

MITAuto-check passed

Install Sealeap Xiezhi Amazon Seasonal Keyword Growth Discovery

skills CLI
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-seasonal-keyword-growth-discovery -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install xjli360/sealeap-amazon-skills sealeap-xiezhi-amazon-seasonal-keyword-growth-discovery --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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/xiezhi/sealeap-xiezhi-amazon-seasonal-keyword-growth-discovery .claude/skills/sealeap-xiezhi-amazon-seasonal-keyword-growth-discovery && rm -rf skills-src

Use ~/.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/

Facts

Skill name
sealeap-xiezhi-amazon-seasonal-keyword-growth-discovery
GitHub stars
251
Token cost
~504 tokens
SKILL.md length
93 words
Files
5 (incl. scripts, references)
Skills in repo
179
Repo updated
First seen
Licence
MIT

At a glance

Discover seasonal Amazon micro-niches from accelerating, moderate-volume keywords and then expand from the underlying event scenario.

  • Works in 6 steps: 倒排目标月份 → 筛增长词 → 验证重复性 → …
  • The team wants future demand signals rather than todays bestseller list
  • 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 Xiezhi Amazon Seasonal Keyword Growth Discovery is an agent skill from xjli360/sealeap-amazon-skills. Discover seasonal Amazon micro-niches from accelerating, moderate-volume keywords and then expand from the underlying event scenario. Use when the team wants future demand signals rather than today's bestseller list.

Its SKILL.md is about 500 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 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 team wants future demand signals rather than todays bestseller list

Example prompts

  • “/sealeap-xiezhi-amazon-seasonal-keyword-growth-discovery”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. 倒排目标月份
  2. 筛增长词
  3. 验证重复性
  4. 解释场景
  5. 扩展机会
  6. 完成闸门

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 Xiezhi Amazon Seasonal Keyword Growth Discovery loads about 504 tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 68 tokens; SKILL.md has 93 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~68
When it runs · the whole SKILL.md, loaded when a task matches
~504
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.8k

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). 93 words, ~504 tokens.

Download SKILL.mdSave it as .claude/skills/sealeap-xiezhi-amazon-seasonal-keyword-growth-discovery/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
sealeap-xiezhi-amazon-seasonal-keyword-growth-discovery
description
Discover seasonal Amazon micro-niches from accelerating, moderate-volume keywords and then expand from the underlying event scenario. Use when the team wants future demand signals rather than today's bestseller list.

Amazon 季节关键词增长选品

目标

通过历史同比/环比和目标月份的搜索增长寻找事件型精准词,再从低价入口产品扩展更可盈利的同场景需求。

适用任务

  • 筛选未来月份增长显著的关键词。
  • 验证关键词季节性与场景根因。
  • 从一个低利润产品延伸同场景高价值机会。

开始前要拿到

  • 目标站点、当前日期、计划上架日期和目标月份。
  • 至少两年同口径关键词月度趋势。
  • 关键词对应商品、评论、价格、销量和上架时间。
  • 目标利润、供应链与合规边界。

缺少字段时列出证据缺口,并把相关结论标为 FACT、ESTIMATE、ASSUMPTION 或 UNKNOWN;不要补造数据。

不可妥协的边界

  • 第三方数据均为估算或代理证据;Amazon 一方报告、后台实时字段和产品事实优先。
  • 经验阈值只能作为可调起点,必须展示敏感性分析,不能写成 Amazon 官方规则。
  • 不得捏造销量、搜索量、CPC、CVR、成本、认证、产品属性或消费者需求。
  • 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。
  • 不输出或保存素材来源身份、账号、链接、作品编号、互动数据、原始话术或其他可反查来源的线索。
  • 不得使用一次性事件、受保护 IP 或未经本地化验证的活动词直接备货。
  • 搜索增长不能替代单位经济和可达份额。

工作流

1. 倒排目标月份

依据开发、生产、运输与上架学习周期选择未来窗口,避免追已发生的增长。

2. 筛增长词

使用增长率与绝对搜索量双门槛,保留中小体量词,并对基数效应做标记。

3. 验证重复性

比较多年度曲线、峰值月份和相关事件,排除一次性新闻或短期异常。

4. 解释场景

从商品、评论和搜索结果确认谁在什么活动中为何搜索该词。

5. 扩展机会

若原产品经济性不足,用场景通用词跨品类寻找更高客单、低评论或更易差异化的载体。

6. 完成闸门

对扩展候选重新验证精准词、直接竞品、CPC/CVR、IP、供应和首批库存。

判断标准

  • 环比增长 100%、月搜索量上限约 3,000 等仅是发现参数,必须检查基数和同比。
  • 一次历史峰值不构成可重复季节性。
  • 从场景扩展的新产品不能继承原关键词的需求量,必须独立验证。

第三方 MCP 数据

需要外部关键词、竞品、评论或公开网页证据时,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。
  • 凭证只从环境变量读取,不进入参数、URL、Skill、终端输出或 Git。
  • 可能计费的 tools/call 先展示 Provider、工具、无密钥参数、预计成本与输出位置,核对已有授权;仅在授权覆盖本次范围时使用 --allow-cost,该标志不是费用上限。
  • 脱敏结果用 --output 写入 Skill 包之外的任务私有目录;不假设安装位置受仓库 .gitignore 保护。第三方数据标为估算或代理证据。
  • 失败一次后记录缺口,不以重复付费重试掩盖不可用状态。

必须交付的结果

  • 目标月份与倒排
  • 增长词候选
  • 多年度季节验证
  • 场景需求解释
  • 扩展产品与立项清单

结尾列出站点、数据窗口、证据来源、关键假设、缺口、风险、下一步和所有待批准动作。证据不足时写 HOLD,不得包装成可直接执行。

执行细节、证据字段和质量检查见 references/playbook.md。

© 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/douyin/xiezhi/sealeap-xiezhi-amazon-seasonal-keyword-growth-discovery 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

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Questions about Sealeap Xiezhi Amazon Seasonal Keyword Growth Discovery

What does Sealeap Xiezhi Amazon Seasonal Keyword Growth Discovery do?

Discover seasonal Amazon micro-niches from accelerating, moderate-volume keywords and then expand from the underlying event scenario. Sealeap Xiezhi Amazon Seasonal Keyword Growth Discovery is an agent skill from xjli360/sealeap-amazon-skills. Discover seasonal Amazon micro-niches from accelerating, moderate-volume keywords and then expand from the underlying event scenario.

When should I use Sealeap Xiezhi Amazon Seasonal Keyword Growth Discovery?

Sealeap Xiezhi Amazon Seasonal Keyword Growth Discovery fits situations like: the team wants future demand signals rather than todays bestseller list.

How do I install Sealeap Xiezhi Amazon Seasonal Keyword Growth Discovery in Claude Code?

Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-seasonal-keyword-growth-discovery -a claude-code`. Or copy the skill folder (amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-seasonal-keyword-growth-discovery in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-xiezhi-amazon-seasonal-keyword-growth-discovery in your project. Claude Code loads it when a task matches its description.

How do I install Sealeap Xiezhi Amazon Seasonal Keyword Growth Discovery in Codex?

Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-seasonal-keyword-growth-discovery -a codex`. Or copy the skill folder (amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-seasonal-keyword-growth-discovery in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-xiezhi-amazon-seasonal-keyword-growth-discovery in your project. Codex loads it when a task matches its description.

Can I use Sealeap Xiezhi Amazon Seasonal Keyword Growth Discovery 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-xiezhi-amazon-seasonal-keyword-growth-discovery -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-xiezhi-amazon-seasonal-keyword-growth-discovery, .gemini/skills/sealeap-xiezhi-amazon-seasonal-keyword-growth-discovery, .github/skills/sealeap-xiezhi-amazon-seasonal-keyword-growth-discovery and .opencode/skills/sealeap-xiezhi-amazon-seasonal-keyword-growth-discovery in your project.

What does Sealeap Xiezhi Amazon Seasonal Keyword Growth Discovery need to run?

Going by SKILL.md and its folder, Sealeap Xiezhi Amazon Seasonal Keyword Growth Discovery needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Sealeap Xiezhi Amazon Seasonal Keyword Growth Discovery 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 Xiezhi Amazon Seasonal Keyword Growth Discovery 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 Xiezhi Amazon Seasonal Keyword Growth Discovery use?

Sealeap Xiezhi Amazon Seasonal Keyword Growth Discovery 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 Xiezhi Amazon Seasonal Keyword Growth Discovery use?

About 504 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 2.3k tokens, read only when the agent opens those files.

What are the alternatives to Sealeap Xiezhi Amazon Seasonal Keyword Growth Discovery?

Skills that share tags, products or a category with Sealeap Xiezhi Amazon Seasonal Keyword Growth Discovery: 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 Xiezhi Amazon Seasonal Keyword Growth Discovery?

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.