Agent skill

Sealeap Xiezhi Amazon Red Ocean Micro Niche Discovery

by xjli360 in xjli360/sealeap-amazon-skills

Find defensible micro-niches inside a crowded Amazon category by combining low-review recent winners with precise design, attribute, or use-case terms.

MITAuto-check passed

Install Sealeap Xiezhi Amazon Red Ocean Micro Niche Discovery

skills CLI
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-red-ocean-micro-niche-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-red-ocean-micro-niche-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-red-ocean-micro-niche-discovery .claude/skills/sealeap-xiezhi-amazon-red-ocean-micro-niche-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-red-ocean-micro-niche-discovery
GitHub stars
251
Token cost
~516 tokens
SKILL.md length
90 words
Files
5 (incl. scripts, references)
Skills in repo
179
Repo updated
First seen
Licence
MIT

At a glance

Find defensible micro-niches inside a crowded Amazon category by combining low-review recent winners with precise design, attribute, or use-case terms.

  • Works in 6 steps: 锁定全类目 → 筛近期低评论 → 提取精准属性 → …
  • A broad category looks saturated but supports visible sub-demand
  • 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 Red Ocean Micro Niche Discovery is an agent skill from xjli360/sealeap-amazon-skills. Find defensible micro-niches inside a crowded Amazon category by combining low-review recent winners with precise design, attribute, or use-case terms. Use when a broad category looks saturated but supports visible sub-demand.

Its SKILL.md is about 520 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

  • A broad category looks saturated but supports visible sub-demand

Example prompts

  • “/sealeap-xiezhi-amazon-red-ocean-micro-niche-discovery”

Requirements

  • Python 3

Workflow steps

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

  1. 锁定全类目
  2. 筛近期低评论
  3. 提取精准属性
  4. 比较评论层级
  5. 扩展相邻元素
  6. 完成商业闸门

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 Red Ocean Micro Niche Discovery loads about 516 tokens when it runs, and up to ~2.9k if it reads all its reference files. Until then it costs about 70 tokens; SKILL.md has 90 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~70
When it runs · the whole SKILL.md, loaded when a task matches
~516
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.9k

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). 90 words, ~516 tokens.

Download SKILL.mdSave it as .claude/skills/sealeap-xiezhi-amazon-red-ocean-micro-niche-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-red-ocean-micro-niche-discovery
description
Find defensible micro-niches inside a crowded Amazon category by combining low-review recent winners with precise design, attribute, or use-case terms. Use when a broad category looks saturated but supports visible sub-demand.

Amazon 红海微细分发现

目标

从红海类目中定位近期正常做起的低评论差异样本,提取其精准属性,再发现未被充分覆盖的相邻微细分。

适用任务

  • 在指定红海类目内找蓝海细分。
  • 从近期低评论赢家提取属性词。
  • 把一个元素扩展成合法且可见的新设计方向。

开始前要拿到

  • 目标类目与产品通用词。
  • 近期上架、低评论商品及其销量、评价、变体和广告信号。
  • 自然关键词、标题词频和搜索结果。
  • 设计能力、IP 筛查、成本和流量经济。

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。
  • 不得复制竞品图案、外观或品牌表达。
  • 不得把异常运营样本包装为正常市场机会。

工作流

1. 锁定全类目

提取类目通用词并按预定样本上限、分页与筛选条件检索相关商品,记录覆盖范围和遗漏;不能把可见样本宣称为全量市场,也不以单个热门关键词代表类目。

2. 筛近期低评论

按上架时间和评论层级找有正常销量的样本,同时排除合并、异常评价、站外强推和极端促销。

3. 提取精准属性

从自然排名、标题与搜索结果识别图案、结构、材质、尺寸、对象或场景属性。

4. 比较评论层级

确认该属性词下低评论与成熟链接的销量差距不过度悬殊,并检查多个样本。

5. 扩展相邻元素

在相同消费者审美或任务下提出不同但合法的元素/设计方向,重新验证需求与竞品。

6. 完成商业闸门

核算 CPC/CVR、单位经济、供应链、IP、安全和首批库存后再决策。

判断标准

  • 近期低评论正常出单是需求变化线索,不是直接抄款依据。
  • 属性词精准性必须由搜索结果和购买任务验证,不能只看标题词频。
  • 元素迁移需要独立需求证据,并先排查版权、商标和外观风险。

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

  • 红海类目基线
  • 近期低评论样本池
  • 精准属性词证据
  • 相邻微细分地图
  • 商业与合规决策

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-red-ocean-micro-niche-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 Red Ocean Micro Niche Discovery

What does Sealeap Xiezhi Amazon Red Ocean Micro Niche Discovery do?

Find defensible micro-niches inside a crowded Amazon category by combining low-review recent winners with precise design, attribute, or use-case terms. Sealeap Xiezhi Amazon Red Ocean Micro Niche Discovery is an agent skill from xjli360/sealeap-amazon-skills. Find defensible micro-niches inside a crowded Amazon category by combining low-review recent winners with precise design, attribute, or use-case terms.

When should I use Sealeap Xiezhi Amazon Red Ocean Micro Niche Discovery?

Sealeap Xiezhi Amazon Red Ocean Micro Niche Discovery fits situations like: A broad category looks saturated but supports visible sub-demand.

How do I install Sealeap Xiezhi Amazon Red Ocean Micro Niche Discovery in Claude Code?

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

How do I install Sealeap Xiezhi Amazon Red Ocean Micro Niche Discovery in Codex?

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

Can I use Sealeap Xiezhi Amazon Red Ocean Micro Niche 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-red-ocean-micro-niche-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-red-ocean-micro-niche-discovery, .gemini/skills/sealeap-xiezhi-amazon-red-ocean-micro-niche-discovery, .github/skills/sealeap-xiezhi-amazon-red-ocean-micro-niche-discovery and .opencode/skills/sealeap-xiezhi-amazon-red-ocean-micro-niche-discovery in your project.

What does Sealeap Xiezhi Amazon Red Ocean Micro Niche Discovery need to run?

Going by SKILL.md and its folder, Sealeap Xiezhi Amazon Red Ocean Micro Niche Discovery needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Sealeap Xiezhi Amazon Red Ocean Micro Niche 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 Red Ocean Micro Niche 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 Red Ocean Micro Niche Discovery use?

Sealeap Xiezhi Amazon Red Ocean Micro Niche 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 Red Ocean Micro Niche Discovery use?

About 516 tokens (SKILL.md is roughly 2.1k 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 2.4k tokens, read only when the agent opens those files.

What are the alternatives to Sealeap Xiezhi Amazon Red Ocean Micro Niche Discovery?

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Who maintains Sealeap Xiezhi Amazon Red Ocean Micro Niche 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.