Agent skill

Sealeap Xiezhi Amazon Seasonal Listing Lifecycle

by xjli360 in xjli360/sealeap-amazon-skills

Plan a compliant multi-year lifecycle for seasonal Amazon products using early entry, controlled inventory, valid variations, and year-over-year evidence.

MITAuto-check passed

Install Sealeap Xiezhi Amazon Seasonal Listing Lifecycle

skills CLI
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-seasonal-listing-lifecycle -a claude-code

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

GitHub CLI
$ gh skill install xjli360/sealeap-amazon-skills sealeap-xiezhi-amazon-seasonal-listing-lifecycle --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-seasonal-listing-lifecycle .claude/skills/sealeap-xiezhi-amazon-seasonal-listing-lifecycle && 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-seasonal-listing-lifecycle
GitHub stars
251
Token cost
~520 tokens
SKILL.md length
95 words
Files
5 (incl. scripts, references)
Skills in repo
179
Repo updated
First seen
Licence
MIT

At a glance

Plan a compliant multi-year lifecycle for seasonal Amazon products using early entry, controlled inventory, valid variations, and year-over-year evidence.

  • Works in 6 steps: 复盘需求周期 → 倒排首年 → 管理合法变体 → …
  • A seasonal ASIN should compound learning without review
  • 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 Seasonal Listing Lifecycle is an agent skill from xjli360/sealeap-amazon-skills. Plan a compliant multi-year lifecycle for seasonal Amazon products using early entry, controlled inventory, valid variations, and year-over-year evidence. Use when a seasonal ASIN should compound learning without review or variation manipulation.

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 seasonal ASIN should compound learning without review
  • Variation manipulation

Example prompts

  • “/sealeap-xiezhi-amazon-seasonal-listing-lifecycle”

Requirements

  • Python 3

Workflow steps

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

  1. 复盘需求周期
  2. 倒排首年
  3. 管理合法变体
  4. 季中控制
  5. 季末退出
  6. 次年复用

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 Seasonal Listing Lifecycle loads about 520 tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 74 tokens; SKILL.md has 95 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~74
When it runs · the whole SKILL.md, loaded when a task matches
~520
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.7k

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). 95 words, ~520 tokens.

Download SKILL.mdSave it as .claude/skills/sealeap-xiezhi-amazon-seasonal-listing-lifecycle/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-seasonal-listing-lifecycle
description
Plan a compliant multi-year lifecycle for seasonal Amazon products using early entry, controlled inventory, valid variations, and year-over-year evidence. Use when a seasonal ASIN should compound learning without review or variation manipulation.

Amazon 季节 Listing 生命周期

目标

把季节产品当作可复盘的年度循环,沉淀真实评价、素材、供应和广告经验,同时严格遵守变体与评价政策。

适用任务

  • 规划季节产品首年与次年运营。
  • 设计旺季前上架、扩色和补货节奏。
  • 处理季末库存与合法变体结构。

开始前要拿到

  • 活动日期、历史需求曲线和进场时效。
  • 父子体事实、当前类目允许的 variation theme 与各子体属性。
  • 变体级库存、销量、评分、退货和广告表现。
  • 当前 Amazon 变体、评价和重复商品政策。

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。
  • 禁止创建未来占位、虚假或无实质差异的子体。
  • 禁止通过拆并变体规避差评、共享不相关评论或操纵排名。

工作流

1. 复盘需求周期

识别起量、峰值、回落和次年重复性,并将促销或异常流量单独标记。

2. 倒排首年

在峰值前完成产品事实、素材、合规、入仓和受控广告学习,首批量按保守份额制定。

3. 管理合法变体

仅把实质相同、符合当前允许主题的真实子体放入父体,逐子体保持图片、属性、库存和价格一致。

4. 季中控制

按变体真实需求补货和调整广告,不以合并/拆分操纵评论、排名或评分。

5. 季末退出

提前设停止补货、降速、清货或保留库存的日期与毛利门槛。

6. 次年复用

复用合法保留的链接历史、素材、需求和供应经验,重新核验政策、竞争和产品事实。

判断标准

  • 季节产品的历史可积累,但需求、政策和竞争每年都要重新验证。
  • 变体数量不是护城河;只有真实有效子体和合规共享关系才可保留。
  • 旺季前一到两个月上架是常见起点,必须按实际入仓和学习需求倒推。

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

  • 年度生命周期图
  • 合法父子体事实矩阵
  • 首批/补货/季末规则
  • 广告学习计划
  • 次年复盘清单

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-seasonal-listing-lifecycle 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 Seasonal Listing Lifecycle

What does Sealeap Xiezhi Amazon Seasonal Listing Lifecycle do?

Plan a compliant multi-year lifecycle for seasonal Amazon products using early entry, controlled inventory, valid variations, and year-over-year evidence. Sealeap Xiezhi Amazon Seasonal Listing Lifecycle is an agent skill from xjli360/sealeap-amazon-skills. Plan a compliant multi-year lifecycle for seasonal Amazon products using early entry, controlled inventory, valid variations, and year-over-year evidence.

When should I use Sealeap Xiezhi Amazon Seasonal Listing Lifecycle?

Sealeap Xiezhi Amazon Seasonal Listing Lifecycle fits situations like: A seasonal ASIN should compound learning without review; variation manipulation.

How do I install Sealeap Xiezhi Amazon Seasonal Listing Lifecycle in Claude Code?

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

How do I install Sealeap Xiezhi Amazon Seasonal Listing Lifecycle in Codex?

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

Can I use Sealeap Xiezhi Amazon Seasonal Listing Lifecycle 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-seasonal-listing-lifecycle -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-seasonal-listing-lifecycle, .gemini/skills/sealeap-xiezhi-amazon-seasonal-listing-lifecycle, .github/skills/sealeap-xiezhi-amazon-seasonal-listing-lifecycle and .opencode/skills/sealeap-xiezhi-amazon-seasonal-listing-lifecycle in your project.

What does Sealeap Xiezhi Amazon Seasonal Listing Lifecycle need to run?

Going by SKILL.md and its folder, Sealeap Xiezhi Amazon Seasonal Listing Lifecycle needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Sealeap Xiezhi Amazon Seasonal Listing Lifecycle 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 Seasonal Listing Lifecycle 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 Seasonal Listing Lifecycle use?

Sealeap Xiezhi Amazon Seasonal Listing Lifecycle 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 Seasonal Listing Lifecycle use?

About 520 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 2.2k tokens, read only when the agent opens those files.

What are the alternatives to Sealeap Xiezhi Amazon Seasonal Listing Lifecycle?

Skills that share tags, products or a category with Sealeap Xiezhi Amazon Seasonal Listing Lifecycle: 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 Seasonal Listing Lifecycle?

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.