Agent skill

Sealeap Baize Amazon Boutique Model

by xjli360 in xjli360/sealeap-amazon-skills

Assess an Amazon boutique business model through differentiated demand, pricing room, saturation, tail conversion, market health, capital turnover, and downside controls.

MITAuto-check passedProduct & Project Management

Install Sealeap Baize Amazon Boutique Model

skills CLI
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-baize-amazon-boutique-model -a claude-code

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

GitHub CLI
$ gh skill install xjli360/sealeap-amazon-skills sealeap-baize-amazon-boutique-model --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/baize/sealeap-baize-amazon-boutique-model .claude/skills/sealeap-baize-amazon-boutique-model && 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-baize-amazon-boutique-model
GitHub stars
251
Token cost
~538 tokens
SKILL.md length
118 words
Files
5 (incl. scripts, references)
Skills in repo
179
Repo updated
First seen
Licence
MIT

At a glance

Assess an Amazon boutique business model through differentiated demand, pricing room, saturation, tail conversion, market health, capital turnover, and downside controls.

  • 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。 → …
  • 什么是精品、精品选品框架、资金周转、市场健康度、精品是否成立
  • 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 Baize Amazon Boutique Model is an agent skill from xjli360/sealeap-amazon-skills. Assess an Amazon boutique business model through differentiated demand, pricing room, saturation, tail conversion, market health, capital turnover, and downside controls. Use for 什么是精品、精品选品框架、资金周转、市场健康度、精品是否成立. Do not reduce boutique strategy to premium creative.

Its SKILL.md is about 540 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 Product & Project Management, covering Product strategy. 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

  • 什么是精品、精品选品框架、资金周转、市场健康度、精品是否成立
  • Tasks that involve Product strategy

Example prompts

  • “/sealeap-baize-amazon-boutique-model”

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 Baize Amazon Boutique Model loads about 538 tokens when it runs, and up to ~2.5k if it reads all its reference files. Until then it costs about 75 tokens; SKILL.md has 118 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~75
When it runs · the whole SKILL.md, loaded when a task matches
~538
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.5k

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). 118 words, ~538 tokens.

Download SKILL.mdSave it as .claude/skills/sealeap-baize-amazon-boutique-model/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
sealeap-baize-amazon-boutique-model
description
Assess an Amazon boutique business model through differentiated demand, pricing room, saturation, tail conversion, market health, capital turnover, and downside controls. Use for 什么是精品、精品选品框架、资金周转、市场健康度、精品是否成立. Do not reduce boutique strategy to premium creative.

Amazon 精品商业模型

目标

Assess an Amazon boutique business model through differentiated demand, pricing room, saturation, tail conversion, market health, capital turnover, and downside controls.

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。
  • 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。
  • 任何固定饱和度系数都只算探索线索,必须用当前样本校准。
  • 大类目汇总会掩盖价格和功能切片,应在真实购买任务层分析。

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. 先定义资金回收、利润和库存周转目标。
  2. 用主题、关键词需求或使用背景发现能避开同质化的细分。
  3. 验证垂直流量、相对定价、在售同款密度和尾部转化。
  4. 检查价格分布、品牌集中、异常促销和进入壁垒。
  5. 将产品结论放入保守、可测试或不进入三档。

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:补充细分需求、价格分布、同款密度、品牌集中和趋势数据。

  • 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

  • 商业模型卡
  • 细分市场证据
  • 周转与亏损边界
  • 进入决策
  • 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/douyin/baize/sealeap-baize-amazon-boutique-model 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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Questions about Sealeap Baize Amazon Boutique Model

What does Sealeap Baize Amazon Boutique Model do?

Assess an Amazon boutique business model through differentiated demand, pricing room, saturation, tail conversion, market health, capital turnover, and downside controls. Sealeap Baize Amazon Boutique Model is an agent skill from xjli360/sealeap-amazon-skills. Assess an Amazon boutique business model through differentiated demand, pricing room, saturation, tail conversion, market health, capital turnover, and downside controls.

When should I use Sealeap Baize Amazon Boutique Model?

Sealeap Baize Amazon Boutique Model fits situations like: 什么是精品、精品选品框架、资金周转、市场健康度、精品是否成立; tasks that involve Product strategy.

How do I install Sealeap Baize Amazon Boutique Model in Claude Code?

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

How do I install Sealeap Baize Amazon Boutique Model in Codex?

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

Can I use Sealeap Baize Amazon Boutique Model 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-baize-amazon-boutique-model -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-baize-amazon-boutique-model, .gemini/skills/sealeap-baize-amazon-boutique-model, .github/skills/sealeap-baize-amazon-boutique-model and .opencode/skills/sealeap-baize-amazon-boutique-model in your project.

What does Sealeap Baize Amazon Boutique Model need to run?

Going by SKILL.md and its folder, Sealeap Baize Amazon Boutique Model needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Sealeap Baize Amazon Boutique Model 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 Baize Amazon Boutique Model 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 Baize Amazon Boutique Model use?

Sealeap Baize Amazon Boutique Model 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 Baize Amazon Boutique Model use?

About 538 tokens (SKILL.md is roughly 2.2k 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 2k tokens, read only when the agent opens those files.

What are the alternatives to Sealeap Baize Amazon Boutique Model?

Skills that share tags, products or a category with Sealeap Baize Amazon Boutique Model: What Would Lenny Do (amplitude/builder-skills, 159 stars), Sec S1 Analysis (OctagonAI/skills, 127 stars), Sec Business Desc Analysis (OctagonAI/skills, 127 stars) and Game Changing Features (openstatusHQ/data-table-filters, 2.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sealeap Baize Amazon Boutique Model?

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.