Agent skill

Sealeap Amazon Return Rate Reduction

by xjli360 in xjli360/sealeap-amazon-skills

Reduce avoidable Amazon returns through root-cause analysis, accurate listing content, packaging and quality fixes, official Product Support features, manuals, support videos, spare-parts workflows…

MITAuto-check passedDevelopment

Install Sealeap Amazon Return Rate Reduction

skills CLI
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-amazon-return-rate-reduction -a claude-code

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

GitHub CLI
$ gh skill install xjli360/sealeap-amazon-skills sealeap-amazon-return-rate-reduction --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/qilin/sealeap-amazon-return-rate-reduction .claude/skills/sealeap-amazon-return-rate-reduction && 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-amazon-return-rate-reduction
GitHub stars
251
Token cost
~531 tokens
SKILL.md length
99 words
Files
4 (incl. scripts, references)
Skills in repo
179
Repo updated
First seen
Licence
MIT

At a glance

Reduce avoidable Amazon returns through root-cause analysis, accurate listing content, packaging and quality fixes, official Product Support features, manuals, support videos, spare-parts workflows…

  • Works in 6 steps: 量化退货根因 → 修正商品承诺 → 补足自助支持 → …
  • Customers return products due to setup
  • 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 Amazon Return Rate Reduction is an agent skill from xjli360/sealeap-amazon-skills. Reduce avoidable Amazon returns through root-cause analysis, accurate listing content, packaging and quality fixes, official Product Support features, manuals, support videos, spare-parts workflows, and privacy-safe service operations. Use when customers return products due to setup, usage, missing parts, or delayed support. Never request reviews during support or build an unauthorized customer list.

Its SKILL.md is about 530 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/mcp-data-plan.md` and `scripts/mcp_research.py`).

It sits in Development, covering Root cause analysis. 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

  • Customers return products due to setup
  • Delayed support

Example prompts

  • “/sealeap-amazon-return-rate-reduction”

Requirements

  • Python 3

Workflow steps

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

  1. 量化退货根因
  2. 修正商品承诺
  3. 补足自助支持
  4. 设计零配件闭环
  5. 配置客服
  6. 验证成效

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 Amazon Return Rate Reduction loads about 531 tokens when it runs, and up to ~2.1k if it reads all its reference files. Until then it costs about 110 tokens; SKILL.md has 99 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~110
When it runs · the whole SKILL.md, loaded when a task matches
~531
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.1k

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). 99 words, ~531 tokens.

Download SKILL.mdSave it as .claude/skills/sealeap-amazon-return-rate-reduction/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
sealeap-amazon-return-rate-reduction
description
Reduce avoidable Amazon returns through root-cause analysis, accurate listing content, packaging and quality fixes, official Product Support features, manuals, support videos, spare-parts workflows, and privacy-safe service operations. Use when customers return products due to setup, usage, missing parts, or delayed support. Never request reviews during support or build an unauthorized customer list.

Amazon 退货率降低

目标

把可避免退货按根因分流,在 Amazon 允许的支持入口中更快解决安装、使用和零配件问题。

适用任务

  • 安装或使用困难导致退货。
  • 大件商品因小配件损坏整单退回。
  • 评估电话、视频、说明书或 AI 客服。

开始前要拿到

  • 退货原因、退款、客户联系主题、差评主题和批次质量数据。
  • 当前站点 Product Support、说明书、视频、电话或零配件功能资格。
  • 客服语言、时区、隐私、录音、升级和人工接管要求。

缺失的数据要明确列为缺口,并把结论标成事实、估算或假设;不要补造数字。

不可妥协的边界

  • 联系方式只放在 Amazon 明确允许的字段和场景,不绕过平台消息规则。
  • 售后过程中不得索要好评、引导改评、评价门控或把客户沉淀成未授权私域名单。
  • AI 客服必须遵守隐私、披露、录音和消费者保护要求,并保留人工升级。
  • 当前 Amazon 官方政策、帮助页、账户资格和后台实际字段优先于本 Skill 中的经验框架;规则可能变化时先核验。
  • 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。
  • 不输出原素材的创作者身份、账号、链接、视频编号或可反查线索;当前业务证据的官方来源、采集时间和口径仍需保留。

第三方 MCP 数据

只有在本任务确实需要外部市场、竞品、关键词或公开网页证据时,才读取 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,不照搬历史工具名。
  • 凭证只从环境变量读取,不放进命令参数、URL、Skill、结果文件或 Git。
  • tools/call 可能计费。调用前展示 Provider、工具名、无密钥参数、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。
  • 第三方数据标为估算或代理证据,记录 Provider、工具、无密钥参数、查询时间和原始结果位置;失败一次后记录缺口,不反复消耗额度。
  • 脱敏结果用 --output 写到 Skill 包之外的任务私有目录;不假设安装位置受仓库 .gitignore 保护,不把运行结果写入 Skill 包。

工作流

1. 量化退货根因

按 ASIN、变体、批次、原因、时间和成本建立 Pareto,先处理高频且可避免问题。

2. 修正商品承诺

让图片、尺寸、兼容性、安装难度和限制与实物一致,减少购买前误解。

3. 补足自助支持

在当前官方允许的位置提供清晰说明书、故障排查、安装或使用视频,并验证移动端可读性。

4. 设计零配件闭环

为适合商品建立配件库存、资格、验证、防欺诈和物流 SLA,比较补件与整单退货成本。

5. 配置客服

使用合规号码或平台入口,建立语言覆盖、响应时限、AI 到人工升级和敏感问题处理。

6. 验证成效

比较实施前后退货率、原因分布、解决率、响应时长、成本和客户满意度。

判断标准

  • 功能资格和联系方式规则已核对当前官方文档。
  • 支持不与评价请求或营销再触达绑定。
  • 退货下降没有以拒绝合法退款为代价。

必须交付的结果

  • 退货根因 Pareto。
  • 内容、说明、视频和配件修复清单。
  • 客服与 AI 升级 SOP。
  • 实施前后评估方案。

结尾列出数据窗口、关键假设、证据缺口、风险和下一步;如包含待执行动作,单独放在“待批准变更”中。

© 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 3 other files (scripts, references) in amazon-skills/douyin/qilin/sealeap-amazon-return-rate-reduction of xjli360/sealeap-amazon-skills.

  • SKILL.md
  • agents/openai.yaml
  • references/mcp-data-plan.md
  • scripts/mcp_research.py

Open the folder on GitHubat commit 497d4b8

Compare with similar skills

Sealeap Amazon Return Rate Reduction next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Sealeap Amazon Return Rate Reduction compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Sealeap Amazon Return Rate Reduction this skillxjli360/sealeap-amazon-skills251—~531Automated safety check: PassMIT
Graph-Based Bug Tracingtirth8205/code-review-graph32k1 repos~287Automated safety check: PassMIT
Octocode Code Researchbgauryy/octocode949—~1.5kAutomated safety check: PassMIT
Debugagentic-community/mcp-gateway-registry968—~1.8kAutomated safety check: NotesApache-2.0
Broken UI Debuggerreticlehq/reticle1.2k—~1.3kAutomated safety check: PassApache-2.0
Self Healingpskoett/pskoett-ai-skills315—~5.3kAutomated safety check: NotesNone

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Categories

Questions about Sealeap Amazon Return Rate Reduction

What does Sealeap Amazon Return Rate Reduction do?

Reduce avoidable Amazon returns through root-cause analysis, accurate listing content, packaging and quality fixes, official Product Support features, manuals, support videos, spare-parts workflows…. Sealeap Amazon Return Rate Reduction is an agent skill from xjli360/sealeap-amazon-skills. Reduce avoidable Amazon returns through root-cause analysis, accurate listing content, packaging and quality fixes, official Product Support features, manuals, support videos, spare-parts workflows, and privacy-safe service operations.

When should I use Sealeap Amazon Return Rate Reduction?

Sealeap Amazon Return Rate Reduction fits situations like: customers return products due to setup; delayed support.

How do I install Sealeap Amazon Return Rate Reduction in Claude Code?

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

How do I install Sealeap Amazon Return Rate Reduction in Codex?

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

Can I use Sealeap Amazon Return Rate Reduction 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-amazon-return-rate-reduction -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-amazon-return-rate-reduction, .gemini/skills/sealeap-amazon-return-rate-reduction, .github/skills/sealeap-amazon-return-rate-reduction and .opencode/skills/sealeap-amazon-return-rate-reduction in your project.

What does Sealeap Amazon Return Rate Reduction need to run?

Going by SKILL.md and its folder, Sealeap Amazon Return Rate Reduction needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Sealeap Amazon Return Rate Reduction 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 Amazon Return Rate Reduction 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 Amazon Return Rate Reduction use?

Sealeap Amazon Return Rate Reduction 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 Amazon Return Rate Reduction use?

About 531 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 1.5k tokens, read only when the agent opens those files.

What are the alternatives to Sealeap Amazon Return Rate Reduction?

Skills that share tags, products or a category with Sealeap Amazon Return Rate Reduction: Graph-Based Bug Tracing (tirth8205/code-review-graph, 32k stars), Octocode Code Research (bgauryy/octocode, 949 stars), Debug (agentic-community/mcp-gateway-registry, 968 stars) and Broken UI Debugger (reticlehq/reticle, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sealeap Amazon Return Rate Reduction?

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.