Agent skill

Sealeap Xiezhi Amazon Commodity Bundle Repositioning

by xjli360 in xjli360/sealeap-amazon-skills

Reposition mature commodity products into differentiated bulk, kit, gifting, or event solutions without unnecessary tooling.

MITAuto-check passed

Install Sealeap Xiezhi Amazon Commodity Bundle Repositioning

skills CLI
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-commodity-bundle-repositioning -a claude-code

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

GitHub CLI
$ gh skill install xjli360/sealeap-amazon-skills sealeap-xiezhi-amazon-commodity-bundle-repositioning --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-commodity-bundle-repositioning .claude/skills/sealeap-xiezhi-amazon-commodity-bundle-repositioning && 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-commodity-bundle-repositioning
GitHub stars
251
Token cost
~499 tokens
SKILL.md length
92 words
Files
5 (incl. scripts, references)
Skills in repo
179
Repo updated
First seen
Licence
MIT

At a glance

Reposition mature commodity products into differentiated bulk, kit, gifting, or event solutions without unnecessary tooling.

  • Works in 5 steps: 识别成熟产能 → 定义采购任务 → 设计价值组合 → …
  • A seller has accessible commodity supply but lacks a defensible Amazon use case
  • 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 Commodity Bundle Repositioning is an agent skill from xjli360/sealeap-amazon-skills. Reposition mature commodity products into differentiated bulk, kit, gifting, or event solutions without unnecessary tooling. Use when a seller has accessible commodity supply but lacks a defensible Amazon use case.

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

  • A seller has accessible commodity supply but lacks a defensible Amazon use case

Example prompts

  • “/sealeap-xiezhi-amazon-commodity-bundle-repositioning”

Requirements

  • Python 3

Workflow steps

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

  1. 识别成熟产能
  2. 定义采购任务
  3. 设计价值组合
  4. 重建竞争集
  5. 核算与小批验证

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 Commodity Bundle Repositioning loads about 499 tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 67 tokens; SKILL.md has 92 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~67
When it runs · the whole SKILL.md, loaded when a task matches
~499
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). 92 words, ~499 tokens.

Download SKILL.mdSave it as .claude/skills/sealeap-xiezhi-amazon-commodity-bundle-repositioning/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-commodity-bundle-repositioning
description
Reposition mature commodity products into differentiated bulk, kit, gifting, or event solutions without unnecessary tooling. Use when a seller has accessible commodity supply but lacks a defensible Amazon use case.

Amazon 成熟产能组合重定位

目标

利用成熟供应链的小批量与成本优势,通过真实场景、数量和组合设计提高价值,而不是简单加量卷规格。

适用任务

  • 把通货转成批量活动或礼赠方案。
  • 在不开模前提下设计轻量差异化。
  • 评估多 SKU 小批量组合的盈利边界。

开始前要拿到

  • 现有产品、工艺、MOQ、质量与包装能力。
  • 目标活动、人群、采购数量和使用任务。
  • 竞品套装、数量、价格、评论和流量词。
  • 单件/套装的采购、包装、物流、FBA 与广告成本。

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。
  • 不得混装不兼容、无证据或可能造成安全风险的组件。
  • 不得用虚假数量、礼赠对象或场景声明抬价。

工作流

1. 识别成熟产能

选择工艺稳定、供给充足、可小批量包装或组合的基础产品,并验证质量一致性。

2. 定义采购任务

把需求写成某类组织者为某活动一次采购多少、解决什么任务,而不是泛泛的送礼。

3. 设计价值组合

围绕数量、搭配、包装、身份表达和操作便利设计方案,避免只把同行数量翻倍。

4. 重建竞争集

用场景与对象词搜索,确认新定位的直接竞品、价格带和评论门槛。

5. 核算与小批验证

计算整套落地成本、缺件风险、配送重量和退货影响,限定首批量和淘汰线。

判断标准

  • 组合必须提高任务完成度或采购便利,单纯增量通常只会复制价格竞争。
  • 优先非标准化需求,但每个组件仍需符合安全、标签和类目要求。
  • 目标售价和投产比必须由实际成本与 CPC/CVR 情景推导,不能只因套装而假设溢价。

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

  • 成熟产能清单
  • 采购任务说明
  • 组合 BOM 与包装方案
  • 新竞争集与单位经济
  • 首批验证计划

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-commodity-bundle-repositioning 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 Commodity Bundle Repositioning

What does Sealeap Xiezhi Amazon Commodity Bundle Repositioning do?

Reposition mature commodity products into differentiated bulk, kit, gifting, or event solutions without unnecessary tooling. Sealeap Xiezhi Amazon Commodity Bundle Repositioning is an agent skill from xjli360/sealeap-amazon-skills. Reposition mature commodity products into differentiated bulk, kit, gifting, or event solutions without unnecessary tooling.

When should I use Sealeap Xiezhi Amazon Commodity Bundle Repositioning?

Sealeap Xiezhi Amazon Commodity Bundle Repositioning fits situations like: A seller has accessible commodity supply but lacks a defensible Amazon use case.

How do I install Sealeap Xiezhi Amazon Commodity Bundle Repositioning in Claude Code?

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

How do I install Sealeap Xiezhi Amazon Commodity Bundle Repositioning in Codex?

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

Can I use Sealeap Xiezhi Amazon Commodity Bundle Repositioning 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-commodity-bundle-repositioning -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-commodity-bundle-repositioning, .gemini/skills/sealeap-xiezhi-amazon-commodity-bundle-repositioning, .github/skills/sealeap-xiezhi-amazon-commodity-bundle-repositioning and .opencode/skills/sealeap-xiezhi-amazon-commodity-bundle-repositioning in your project.

What does Sealeap Xiezhi Amazon Commodity Bundle Repositioning need to run?

Going by SKILL.md and its folder, Sealeap Xiezhi Amazon Commodity Bundle Repositioning needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Sealeap Xiezhi Amazon Commodity Bundle Repositioning 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 Commodity Bundle Repositioning 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 Commodity Bundle Repositioning use?

Sealeap Xiezhi Amazon Commodity Bundle Repositioning 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 Commodity Bundle Repositioning use?

About 499 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 Commodity Bundle Repositioning?

Skills that share tags, products or a category with Sealeap Xiezhi Amazon Commodity Bundle Repositioning: 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 Commodity Bundle Repositioning?

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.