Agent skill

Sealeap Xiezhi Amazon Niche Market Profitability Screen

by xjli360 in xjli360/sealeap-amazon-skills

Screen Amazon niche opportunities for precise demand, low competitive density, conservative paid-traffic profitability, and small-batch inventory fit.

MITAuto-check passed

Install Sealeap Xiezhi Amazon Niche Market Profitability Screen

skills CLI
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-niche-market-profitability-screen -a claude-code

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

GitHub CLI
$ gh skill install xjli360/sealeap-amazon-skills sealeap-xiezhi-amazon-niche-market-profitability-screen --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-niche-market-profitability-screen .claude/skills/sealeap-xiezhi-amazon-niche-market-profitability-screen && 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-niche-market-profitability-screen
GitHub stars
251
Token cost
~503 tokens
SKILL.md length
97 words
Files
5 (incl. scripts, references)
Skills in repo
179
Repo updated
First seen
Licence
MIT

At a glance

Screen Amazon niche opportunities for precise demand, low competitive density, conservative paid-traffic profitability, and small-batch inventory fit.

  • Works in 5 steps: 设置多档筛选 → 验证精准词 → 评估竞争与广告 → …
  • The user asks how to find genuinely small blue-ocean markets
  • 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 Niche Market Profitability Screen is an agent skill from xjli360/sealeap-amazon-skills. Screen Amazon niche opportunities for precise demand, low competitive density, conservative paid-traffic profitability, and small-batch inventory fit. Use when the user asks how to find genuinely small blue-ocean markets.

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 user asks how to find genuinely small blue-ocean markets

Example prompts

  • “/sealeap-xiezhi-amazon-niche-market-profitability-screen”

Requirements

  • Python 3

Workflow steps

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

  1. 设置多档筛选
  2. 验证精准词
  3. 评估竞争与广告
  4. 核算盈利
  5. 扩展与控货

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 Niche Market Profitability Screen loads about 503 tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 69 tokens; SKILL.md has 97 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~69
When it runs · the whole SKILL.md, loaded when a task matches
~503
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). 97 words, ~503 tokens.

Download SKILL.mdSave it as .claude/skills/sealeap-xiezhi-amazon-niche-market-profitability-screen/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-niche-market-profitability-screen
description
Screen Amazon niche opportunities for precise demand, low competitive density, conservative paid-traffic profitability, and small-batch inventory fit. Use when the user asks how to find genuinely small blue-ocean markets.

Amazon 冷门细分盈利筛选

目标

把冷门定义为有精准需求、可解释的正常销量和较低直接竞争,并用单位经济与库存边界验证。

适用任务

  • 筛选小体量蓝海候选。
  • 验证精准词、CPC 和市场友好度。
  • 为冷门产品制定小批首发目标。

开始前要拿到

  • 站点、类目、计划旺季和上架时间。
  • 销量、评论、价格、上架时间与历史月份数据。
  • 精准词、CPC、直接竞品和低评论样本。
  • 落地成本、毛利、首批量与目标市场份额。

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。
  • 不得将少量竞品自动解释为高需求低竞争。
  • 最终采购前完成差异化、IP、安全、政策和供应商核查。

工作流

1. 设置多档筛选

用销量、评论、售价与历史月份构造宽中严三档,而不是只跑一个参数组合。

2. 验证精准词

确认词能清晰描述产品/对象/场景,且搜索结果主要是同一购买任务。

3. 评估竞争与广告

比较低评论和头部样本,用新品或弱历史信号的假设情景估算 CPC 与 CPA 区间;不把不可观测的“权重”当成已测事实。

4. 核算盈利

在不计自然流量下运行多档 CVR;只有能接近或达到目标贡献利润时继续。

5. 扩展与控货

用对象/场景词寻找相邻机会,并按可比正常样本与目标份额限定首批库存。

判断标准

  • 销量上限约 200–500、评论 30–100、售价约 30 以上是探索区间,不是定义。
  • 冷门不等于无搜索词;找不到消费者表达时更可能是需求不可触达。
  • 首批量应由可达份额、销售窗口和清货能力决定,不由头部销量直接外推。

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

  • 三档筛选结果
  • 精准词与竞品集合
  • 广告盈利情景
  • 相邻细分机会
  • 首批库存与 HOLD/GO 结论

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-niche-market-profitability-screen 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 Niche Market Profitability Screen

What does Sealeap Xiezhi Amazon Niche Market Profitability Screen do?

Screen Amazon niche opportunities for precise demand, low competitive density, conservative paid-traffic profitability, and small-batch inventory fit. Sealeap Xiezhi Amazon Niche Market Profitability Screen is an agent skill from xjli360/sealeap-amazon-skills. Screen Amazon niche opportunities for precise demand, low competitive density, conservative paid-traffic profitability, and small-batch inventory fit.

When should I use Sealeap Xiezhi Amazon Niche Market Profitability Screen?

Sealeap Xiezhi Amazon Niche Market Profitability Screen fits situations like: the user asks how to find genuinely small blue-ocean markets.

How do I install Sealeap Xiezhi Amazon Niche Market Profitability Screen in Claude Code?

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

How do I install Sealeap Xiezhi Amazon Niche Market Profitability Screen in Codex?

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

Can I use Sealeap Xiezhi Amazon Niche Market Profitability Screen 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-niche-market-profitability-screen -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-niche-market-profitability-screen, .gemini/skills/sealeap-xiezhi-amazon-niche-market-profitability-screen, .github/skills/sealeap-xiezhi-amazon-niche-market-profitability-screen and .opencode/skills/sealeap-xiezhi-amazon-niche-market-profitability-screen in your project.

What does Sealeap Xiezhi Amazon Niche Market Profitability Screen need to run?

Going by SKILL.md and its folder, Sealeap Xiezhi Amazon Niche Market Profitability Screen needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Sealeap Xiezhi Amazon Niche Market Profitability Screen 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 Niche Market Profitability Screen 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 Niche Market Profitability Screen use?

Sealeap Xiezhi Amazon Niche Market Profitability Screen 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 Niche Market Profitability Screen 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 2.3k tokens, read only when the agent opens those files.

What are the alternatives to Sealeap Xiezhi Amazon Niche Market Profitability Screen?

Skills that share tags, products or a category with Sealeap Xiezhi Amazon Niche Market Profitability Screen: 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 Niche Market Profitability Screen?

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.