Agent skill

Sealeap Bifang Amazon Small Niche Market Screening

by xjli360 in xjli360/sealeap-amazon-skills

Screen Amazon sub-markets for a capital-constrained seller by capping demand, checking top-listing concentration against the market average, filtering out seasonal curves, reading new-product share…

MITAuto-check passedDocuments & Office

Install Sealeap Bifang Amazon Small Niche Market Screening

skills CLI
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-bifang-amazon-small-niche-market-screening -a claude-code

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

GitHub CLI
$ gh skill install xjli360/sealeap-amazon-skills sealeap-bifang-amazon-small-niche-market-screening --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/bilibili/bifang/sealeap-bifang-amazon-small-niche-market-screening .claude/skills/sealeap-bifang-amazon-small-niche-market-screening && 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-bifang-amazon-small-niche-market-screening
GitHub stars
251
Token cost
~806 tokens
SKILL.md length
152 words
Files
5 (incl. scripts, references)
Skills in repo
179
Repo updated
First seen
Licence
MIT

At a glance

Screen Amazon sub-markets for a capital-constrained seller by capping demand, checking top-listing concentration against the market average, filtering out seasonal curves, reading new-product share…

  • Works in 4 steps: 诊断:读取现状、证据和缺口,不生成线上写入动作。 → 方案草案:输出可审核的结构、参数范围、实验和回退值。 → 执行准备:只生成待批准变更表或 API/控制台操作草案。 → …
  • 精铺选品、小类目选品、需求小竞争小的市场、头部垄断怎么判断、季节性产品怎么排除、退货率看什么
  • SKILL.md covers 目标, 不可妥协的边界, 先判断任务模式 and 开始前要拿到, plus 3 more sections
  • Runs Python scripts from its folder

What it does

Sealeap Bifang Amazon Small Niche Market Screening is an agent skill from xjli360/sealeap-amazon-skills. Screen Amazon sub-markets for a capital-constrained seller by capping demand, checking top-listing concentration against the market average, filtering out seasonal curves, reading new-product share, price band and return-rate signals, and turning recurring return reasons into low-cost product improvements before deciding whether to enter. Use for 精铺选品、小类目选品、需求小竞争小的市场、头部垄断怎么判断、季节性产品怎么排除、退货率看什么. Do not use to place purchase orders or to evaluate large-volume categories that require brand-level capital.

Its SKILL.md is about 810 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 sits in Documents & Office, covering Forms and invoices. 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

  • 精铺选品、小类目选品、需求小竞争小的市场、头部垄断怎么判断、季节性产品怎么排除、退货率看什么
  • Place purchase orders
  • Evaluate large-volume categories that require brand-level capital

Example prompts

  • “/sealeap-bifang-amazon-small-niche-market-screening”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. 诊断:读取现状、证据和缺口,不生成线上写入动作。
  2. 方案草案:输出可审核的结构、参数范围、实验和回退值。
  3. 执行准备:只生成待批准变更表或 API/控制台操作草案。
  4. 已批准执行:仅对用户在当前会话明确批准的对象和字段执行,并立即回读核验。

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 Bifang Amazon Small Niche Market Screening loads about 806 tokens when it runs, and up to ~3.3k if it reads all its reference files. Until then it costs about 139 tokens; SKILL.md has 152 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~139
When it runs · the whole SKILL.md, loaded when a task matches
~806
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.3k

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). 152 words, ~806 tokens.

Download SKILL.mdSave it as .claude/skills/sealeap-bifang-amazon-small-niche-market-screening/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
sealeap-bifang-amazon-small-niche-market-screening
description
Screen Amazon sub-markets for a capital-constrained seller by capping demand, checking top-listing concentration against the market average, filtering out seasonal curves, reading new-product share, price band and return-rate signals, and turning recurring return reasons into low-cost product improvements before deciding whether to enter. Use for 精铺选品、小类目选品、需求小竞争小的市场、头部垄断怎么判断、季节性产品怎么排除、退货率看什么. Do not use to place purchase orders or to evaluate large-volume categories that require brand-level capital.

Amazon 小体量低垄断细分市场筛选

目标

Screen Amazon sub-markets for a capital-constrained seller by capping demand, checking top-listing concentration against the market average, filtering out seasonal curves, reading new-product share, price band and return-rate signals, and turning recurring return reasons into low-cost product improvements before deciding whether to enter.

不可妥协的边界

  • 当前 Amazon 官方政策、账户资格、站点字段和一方数据优先于本 Skill 的经验框架。
  • 第三方数据一律标为估算或前台观测,不得写成 Amazon 一方事实。
  • 默认只读诊断和草案;任何广告、Listing、库存、促销或外部系统写操作都需逐项展示并取得明确批准。
  • 一次实验只改变一个主要变量,并记录基线、样本、成功、停止和回退条件。
  • 不得复制来源材料或竞品表达;输出必须按当前任务重新组织并可由现有证据支撑。
  • “头部占比超过某倍数即垄断”“集中度阈值”“月销上限”等数值均为来源经验,必须按当前站点与自身资金校准;第三方市场数据是估算,不是平台一方事实。
  • “新品占比高等于机会大”是来源推断,需结合价格趋势验证是否为低价内卷。
  • 退货率与退货原因来自第三方汇总,样本与时间窗可能与当前不同;决策前用平台可见的退货原因或评论复核。
  • 来源关于竞争者动机的判断需要证据(融资、扩张速度、长期定价),不能凭印象定性。

先判断任务模式

  1. 诊断:读取现状、证据和缺口,不生成线上写入动作。
  2. 方案草案:输出可审核的结构、参数范围、实验和回退值。
  3. 执行准备:只生成待批准变更表或 API/控制台操作草案。
  4. 已批准执行:仅对用户在当前会话明确批准的对象和字段执行,并立即回读核验。

用户未指定时采用“诊断”。

开始前要拿到

  • 目标 marketplace、类目、价格带、上架时间与运营模式
  • 候选品与同购买意图可比样本的销量、评论、价格和上架时间
  • 关键词需求、历史趋势、广告依赖、同款密度和品牌集中度
  • 采购、头程、平台费、退货、仓储、交期和合规/IP 基础信息

缺失项必须标为 NEEDS_EVIDENCE;不得猜数字、补属性或把不同站点、ASIN、变体、币种和时间窗混在一起。

工作流

先读取 references/playbook.md,确认该方法适用于当前对象。按以下顺序执行:

  1. 先写下自身约束:可用资金、可承接的月销上限与最低利润率、可触达的有门槛货源(本地产业带、非公开货盘);没有货源优势的候选市场后续只能靠运营细节竞争,其余条件要相应收紧。
  2. 用市场筛选工具按三条件初筛:月均销量不超过自身可承接上限、头部若干个 Listing 的销量合计相对市场平均的倍数不过高、商品集中度不超过自设上限;倍数与上限的具体数值按当前站点分布校准,来源经验值仅作参考。
  3. 逐个候选市场看销售趋势曲线:明显随开学季、节日等波动的先排除,或只在有库存周转把握时作为备选;曲线平缓的进入下一步。
  4. 看排名曲线与新品占比:从头部到尾部销量衰减是否平缓(尾部仍有可观销量说明有进入空间)、近半年上架的新品在前列的比例(比例高说明市场未定型,但要核对是否为低价内卷)。
  5. 看价格带与退货率:价格带能否覆盖采购、头程、平台费后仍留目标利润;退货率与退货原因是否指向可低成本改善的痛点(说明书、配件、加固提示等),能改善的加分,“不需要了”类退货不算改善机会。
  6. 调研在场竞争者的动机:以盈利为目的的对手通常不打持久价格战,以份额或融资为目的的对手会长期压价;出现后者且有证据时,对小资金卖家的合理决定是退出。
  7. 输出 GO/NO-GO 与进入方案:定价以利润率与周转率共同约束,接受单品失败但要求组合整体正现金流;候选连续不达标时回到第一步复核约束与货源,而不是放宽筛选条件。

最后做数据充分性检查,并把结论分成 FACT / ESTIMATE / HYPOTHESIS / UNKNOWN。若关键证据不足,状态写 HOLD。

第三方 MCP 数据

仅在自有数据不足且当前任务确实需要外部证据时,读取 references/mcp-data-plan.md,再使用 scripts/mcp_research.py。本 Skill 的外部取数目的:获取细分市场销量分布、趋势、新品占比、价格带与退货率的第三方代理数据。

  • 先 doctor,再 search-tools 和 describe;工具名及参数以实时 tools/list 与 inputSchema 为准。
  • Token 只从环境变量读取。不得写入命令参数、URL、Skill、报告、日志或 Git。
  • tools/call 或 Actor 可能计费;先展示 Provider、工具、无密钥业务参数、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。

必须交付的结果

  • 自身约束与货源优势清单
  • 细分市场初筛表(需求、集中度、趋势、新品占比、价格带、退货率)
  • 痛点与微改进机会表
  • 竞争者动机评估
  • GO/NO-GO 结论与进入前提
  • 数据范围、来源、采集时间、样本与限制。
  • 关键假设、待补证据、风险和不可确定项。
  • 若有动作:对象、旧值、新值、预期、停止条件、回退值与审批状态。

方案状态使用 READY FOR REVIEW / DRAFT / HOLD / STOP;如已执行,另行记录实际结果及回读证据。未得到明确批准时,不得声称已修改线上对象。

© 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/bilibili/bifang/sealeap-bifang-amazon-small-niche-market-screening 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

Compare with similar skills

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Sealeap Bifang Amazon Small Niche Market Screening this skillxjli360/sealeap-amazon-skills251—~806Automated safety check: PassMIT
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Tw Ecom Invoice Ezpayasgard-ai-platform/skills242—~3.5kAutomated safety check: PassMIT
Invoice Verifyinfometa/workbuddyskills348—~3.8kAutomated safety check: NotesNone
Wpe Invoice Checkinfometa/workbuddyskills348—~1.7kAutomated safety check: PassNone

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Questions about Sealeap Bifang Amazon Small Niche Market Screening

What does Sealeap Bifang Amazon Small Niche Market Screening do?

Screen Amazon sub-markets for a capital-constrained seller by capping demand, checking top-listing concentration against the market average, filtering out seasonal curves, reading new-product share…. Sealeap Bifang Amazon Small Niche Market Screening is an agent skill from xjli360/sealeap-amazon-skills. Screen Amazon sub-markets for a capital-constrained seller by capping demand, checking top-listing concentration against the market average, filtering out seasonal curves, reading new-product share, price band and return-rate signals, and turning recurring return reasons into low-cost product improvements before deciding whether to enter.

When should I use Sealeap Bifang Amazon Small Niche Market Screening?

Sealeap Bifang Amazon Small Niche Market Screening fits situations like: 精铺选品、小类目选品、需求小竞争小的市场、头部垄断怎么判断、季节性产品怎么排除、退货率看什么; place purchase orders; evaluate large-volume categories that require brand-level capital.

How do I install Sealeap Bifang Amazon Small Niche Market Screening in Claude Code?

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

How do I install Sealeap Bifang Amazon Small Niche Market Screening in Codex?

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

Can I use Sealeap Bifang Amazon Small Niche Market Screening 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-bifang-amazon-small-niche-market-screening -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-bifang-amazon-small-niche-market-screening, .gemini/skills/sealeap-bifang-amazon-small-niche-market-screening, .github/skills/sealeap-bifang-amazon-small-niche-market-screening and .opencode/skills/sealeap-bifang-amazon-small-niche-market-screening in your project.

What does Sealeap Bifang Amazon Small Niche Market Screening need to run?

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

Does Sealeap Bifang Amazon Small Niche Market Screening 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 Bifang Amazon Small Niche Market Screening 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 Bifang Amazon Small Niche Market Screening use?

Sealeap Bifang Amazon Small Niche Market Screening 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 Bifang Amazon Small Niche Market Screening use?

About 806 tokens (SKILL.md is roughly 3.2k 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 2.5k tokens, read only when the agent opens those files.

What are the alternatives to Sealeap Bifang Amazon Small Niche Market Screening?

Skills that share tags, products or a category with Sealeap Bifang Amazon Small Niche Market Screening: Quickbooks (asgeirtj/system_prompts_leaks, 69k stars), Purchase Order Processing (GAIK-project/gaik-toolkit, 100 stars), Tw Ecom Invoice Ezpay (asgard-ai-platform/skills, 242 stars) and Invoice Verify (infometa/workbuddyskills, 348 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sealeap Bifang Amazon Small Niche Market Screening?

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.