Social
coreyhaines31/marketingskills
When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, or Facebook, or wants to do social listening and engagement triage.
AlphaShop新品选品SKILL：基于关键词和商品筛选条件生成深度市场分析和新品推荐报告. An agent skill from LeoYeAI/openclaw-master-skills.
MITAuto-check passed
Install Alphashop Sel Newproduct
$ npx skills add LeoYeAI/openclaw-master-skills --skill alphashop-sel-newproduct -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills alphashop-sel-newproduct --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/alphashop-sel-newproduct .claude/skills/alphashop-sel-newproduct && rm -rf skills-srcUse ~/.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/
Install the "alphashop-sel-newproduct" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/alphashop-sel-newproduct into .claude/skills/alphashop-sel-newproduct/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alphashop-sel-newproduct", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/alphashop-sel-newproductType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add LeoYeAI/openclaw-master-skills --skill alphashop-sel-newproduct -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills alphashop-sel-newproduct --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/alphashop-sel-newproduct .agents/skills/alphashop-sel-newproduct && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "alphashop-sel-newproduct" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/alphashop-sel-newproduct into .agents/skills/alphashop-sel-newproduct/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alphashop-sel-newproduct", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill alphashop-sel-newproduct -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills alphashop-sel-newproduct --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/alphashop-sel-newproduct .cursor/skills/alphashop-sel-newproduct && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "alphashop-sel-newproduct" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/alphashop-sel-newproduct into .cursor/skills/alphashop-sel-newproduct/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alphashop-sel-newproduct", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/LeoYeAI/openclaw-master-skills.git --path skills/alphashop-sel-newproduct--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add LeoYeAI/openclaw-master-skills --skill alphashop-sel-newproduct -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills alphashop-sel-newproduct --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/alphashop-sel-newproduct .gemini/skills/alphashop-sel-newproduct && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "alphashop-sel-newproduct" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/alphashop-sel-newproduct into .gemini/skills/alphashop-sel-newproduct/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alphashop-sel-newproduct", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install LeoYeAI/openclaw-master-skills alphashop-sel-newproductInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add LeoYeAI/openclaw-master-skills --skill alphashop-sel-newproduct -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/alphashop-sel-newproduct .github/skills/alphashop-sel-newproduct && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "alphashop-sel-newproduct" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/alphashop-sel-newproduct into .github/skills/alphashop-sel-newproduct/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alphashop-sel-newproduct", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill alphashop-sel-newproduct -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills alphashop-sel-newproduct --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/alphashop-sel-newproduct .opencode/skills/alphashop-sel-newproduct && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "alphashop-sel-newproduct" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/alphashop-sel-newproduct into .opencode/skills/alphashop-sel-newproduct/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "alphashop-sel-newproduct", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
alphashop-sel-newproduct- GitHub stars
- 2.2k
- Token cost
- ~2.7k tokens
- SKILL.md length
- 427 words
- Files
- 8 (incl. scripts, references)
- Skills in repo
- 1,235
- Repo updated
- First seen
- Licence
- MIT
At a glance
AlphaShop新品选品SKILL：基于关键词和商品筛选条件生成深度市场分析和新品推荐报告. An agent skill from LeoYeAI/openclaw-master-skills.
- Works in 7 steps: 关键词搜索 (search) → 新品报告 (report) → 市场分析（keywordSummary） → …
- SKILL.md covers 配置, 快速开始, 功能说明 and 支持的平台和国家, plus 7 more sections
- Runs Python and Shell scripts from its folder; calls python3; reaches api.alphashop.cn and amazon.com; needs ALPHASHOP_ACCESS_KEY and ALPHASHOP_SECRET_KEY
What it does
Alphashop Sel Newproduct is an agent skill from LeoYeAI/openclaw-master-skills. AlphaShop新品选品SKILL：基于关键词和商品筛选条件生成深度市场分析和新品推荐报告。 支持Amazon和TikTok平台的跨境电商选品，提供市场评级、竞争分析、新品推荐、热销品对比等功能。
Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts and reference files (for example `QUICKSTART.md`, `README.md` and `_meta.json`).
It works with TikTok. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
Example prompts
- “/alphashop-sel-newproduct”
Requirements
- Python 3
- A Bash shell
- A credential in ALPHASHOP_ACCESS_KEY
- A credential in ALPHASHOP_SECRET_KEY
Workflow steps
7 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit e5199b5. 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 and Shell), which the agent can run.
Shell commands in SKILL.md call:
python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
api.alphashop.cnamazon.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
ALPHASHOP_ACCESS_KEYALPHASHOP_SECRET_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Alphashop Sel Newproduct loads about 2.7k tokens when it runs, and up to ~4.9k if it reads all its reference files. Until then it costs about 31 tokens; SKILL.md has 427 words of instructions outside code blocks.
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 LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 427 words, ~2,666 tokens.
Download SKILL.mdSave it as
.claude/skills/alphashop-sel-newproduct/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.- name
- alphashop-sel-newproduct
- description
- AlphaShop新品选品SKILL：基于关键词和商品筛选条件生成深度市场分析和新品推荐报告。 支持Amazon和TikTok平台的跨境电商选品，提供市场评级、竞争分析、新品推荐、热销品对比等功能。
- category
- official-1688
- metadata.version
- 1.0.1
- metadata.label
- AI新品选品
- metadata.author
- 1688官方技术团队
配置
环境变量
需要配置 AlphaShop API 凭证。在 OpenClaw config 中设置：
{
skills: {
entries: {
"alphashop-sel-newproduct": {
env: {
ALPHASHOP_ACCESS_KEY: "你的AccessKey",
ALPHASHOP_SECRET_KEY: "你的SecretKey"
}
}
}
}
}如何获取 API Key
获取途径
本 skill 使用 AlphaShop/遨虾平台的 API 服务，需要申请以下凭证：
ALPHASHOP_ACCESS_KEY- API 访问密钥ALPHASHOP_SECRET_KEY- API 密钥
申请步骤
联系平台方
- 如果您是 1688 或阿里内部用户，请联系 AlphaShop/遨虾 平台管理员
- 平台可能需要您提供：
- 公司信息
- 使用场景说明
- 预期调用量
获取凭证
- 平台审核通过后会提供：
- Access Key（访问密钥）
- Secret Key（密钥）
- 平台审核通过后会提供：
配置到环境
- 按照上面的配置方式设置环境变量
缺少凭证时的提示
如果运行 skill 时未配置凭证，会看到详细的配置指南：
🔐 需要 AlphaShop API 凭证
本 skill 需要以下凭证才能使用：
• ALPHASHOP_ACCESS_KEY - API 访问密钥
• ALPHASHOP_SECRET_KEY - API 密钥
📋 如何获取凭证：
1. 联系 AlphaShop/遨虾 平台获取 API 凭证
2. 配置环境变量或 OpenClaw 配置
3. 重新运行命令AlphaShop新品选品SKILL
通过遨虾AI选品API进行跨境电商市场分析和新品推荐，一次调用即可获得完整的市场洞察和选品建议。
快速开始
⚠️ 使用前必读：本 skill 包含两个 API，且有先后依赖关系！
正确的使用顺序
第一步：关键词搜索 (search)
↓ 返回合法的关键词列表（带 keyword 字段）
↓
第二步：从返回结果中选择一个 keyword 字段的值
↓
第三步：新品报告 (report) - 使用第一步返回的 keyword示例：
# 1️⃣ 先搜索关键词
python3 scripts/selection.py search --keyword "phone" --platform "amazon" --region "US"
# 输出：返回关键词列表，例如：
# 1. phone (手机) - keyword: "phone"
# 2. phone case (手机壳) - keyword: "phone case"
# 2️⃣ 使用返回的 keyword 生成报告
python3 scripts/selection.py report --keyword "phone case" --platform "amazon" --country "US"❌ 错误示例：直接使用随意关键词会报错
python3 scripts/selection.py report --keyword "随便的关键词" --platform "amazon" --country "US"
# 错误：KEYWORD_ILLEGAL - 关键词不合法功能说明
本Skill封装了遨虾AI选品API，提供两大核心功能：
⚠️ 重要提示：这两个功能有先后顺序依赖关系！
- 第一步：必须先调用 关键词搜索 (search) 获取合法的关键词列表
- 第二步：从返回结果中选择一个
keyword字段的值 - 第三步：使用该关键词作为 新品报告 (report) 的
--keyword参数
1. 关键词搜索 (search)
通过AI关键词查询API，根据用户输入的关键词匹配并返回相关关键词列表及市场数据：
- 关键词推荐 - AI匹配的相关关键词列表（中英文）
- 机会评分 - 每个关键词的市场机会综合评分和排名
- 市场趋势 - 近12个月搜索排名/达人数趋势
- 销售数据 - 30天销量、销售额及环比增长
- 雷达分析 - 市场需求、供给、销售、新品、评价五维评分
2. 新品报告 (report)
⚠️ 前置依赖：此功能依赖"关键词搜索"的返回结果！
- 必须先执行
search命令获取关键词列表 --keyword参数必须使用search返回的keyword字段值- 随意填写关键词会报错
KEYWORD_ILLEGAL
通过AI新品报告执行API生成深度市场分析和新品推荐：
- 市场分析 - 市场评级、供需情况、销售表现、竞争态势
- 关键指标 - 搜索排名趋势、销量趋势、价格分析、雷达图
- 新品推荐 - AI筛选的机会新品及详细数据
- 竞品对比 - 新品与同类目热销品的深度对比分析
支持的平台和国家
Amazon 平台
支持国家：US, UK, ES, FR, DE, IT, CA, JP
TikTok 平台
支持国家：ID, VN, MY, TH, PH, US, SG, BR, MX, GB, ES, FR, DE, IT, JP
使用方法
功能1：关键词搜索 (search)
基础用法
搜索关键词并获取相关关键词列表及市场数据：
python3 scripts/selection.py search \
--keyword "yoga pants" \
--platform "amazon" \
--region "US"带上架时间筛选
指定商品上架时间范围：
python3 scripts/selection.py search \
--keyword "yoga pants" \
--platform "amazon" \
--region "US" \
--listing-time "90"参数说明
| 参数 | 类型 | 必填 | 说明 | 示例 |
|---|---|---|---|---|
--keyword | String | ✅ | 查询关键词（只支持单个关键词） | "yoga pants" |
--platform | String | ✅ | 平台（amazon 或 tiktok，小写） | "amazon" |
--region | String | ✅ | 国家代码（见上方支持列表） | "US" |
--listing-time | String | ❌ | 商品上架时间范围（"90" 或 "180"，默认180天） | "90" |
--output-json | Flag | ❌ | 输出完整JSON | - |
返回数据
每个关键词包含：
关键词信息
- keyword: 英文关键词
- keywordCn: 中文关键词
- platform: 平台标识（amazon/tiktok）
机会评分
- oppScore: 市场机会综合评分（数值越高机会越大）
- oppScoreDesc: 机会分解读（如"击败同一级类目85.5%关键词"）
核心指标
- searchRank: Amazon搜索排名 或 TikTok带货达人数
- rankTrends: 近12个月趋势数据
销售数据
- soldCnt30d: 近30天累计销量及环比增长率
- soldAmt30d: 近30天累计销售额及环比增长率
雷达分
- Amazon: 市场需求分、市场供给分、市场销售分、新品分、评价分（5维）
- TikTok: 市场供给分、市场销售分、新品分、评价分（4维）
输出示例
============================================================
相关关键词 (10)
============================================================
1. yoga pants (瑜伽裤)
平台: AMAZON
机会分: 37.2 (击败同一级类目85.5%关键词)
最新1个月亚马逊搜索排名: # 3.6k+
30天销量: 113.7w+ (↓ -17.5%)
30天销售额: US$2603.9w+ (↓ -18.4%)
雷达分: 市场需求分: 41.51, 市场供给分: 47.9, 市场销售分: 45.4...
2. yoga pants set (瑜伽裤套装)
平台: AMAZON
机会分: 38.9 (击败同一级类目91.5%关键词)
最新1个月亚马逊搜索排名: # 20w+
30天销量: 34.6w+ (↑ 4.7%)
30天销售额: US$1219.4w+ (↑ 3.4%)
雷达分: 市场需求分: 12.86, 市场供给分: 48.7, 市场销售分: 42.5...
============================================================
关键词数据已保存到: output/alphashop-sel-newproduct/keywords-yoga-pants-US-20260312-213928.json
============================================================功能2：新品报告 (report)
⚠️ 重要：使用此功能前，必须先调用"关键词搜索"获取合法关键词！
基础用法
生成完整的新品选品报告：
python3 scripts/selection.py report \
--keyword "phone" \
--platform "amazon" \
--country "US"带筛选条件的用法
指定商品上架时间和筛选条件：
python3 scripts/selection.py report \
--keyword "phone" \
--platform "amazon" \
--country "US" \
--listing-time "90" \
--min-price 10 \
--max-price 100 \
--min-sales 1 \
--max-sales 1000 \
--min-rating 2.0 \
--max-rating 5.0参数说明
| 参数 | 类型 | 必填 | 说明 | 示例 |
|---|---|---|---|---|
--keyword | String | ✅ | ⚠️ 必须从 search 命令返回的 keyword 字段获取，不可随意填写 | "phone" |
--platform | String | ✅ | 平台（amazon 或 tiktok，小写） | "amazon" |
--country | String | ✅ | 国家代码（见上方支持列表） | "US" |
--listing-time | String | ❌ | 商品上架时间范围（"90" 或 "180"，默认180天） | "90" |
--min-price | Number | ❌ | 最低价格 | 10 |
--max-price | Number | ❌ | 最高价格 | 100 |
--min-sales | Integer | ❌ | 最低月销量 | 1 |
--max-sales | Integer | ❌ | 最高月销量 | 1000 |
--min-rating | Float | ❌ | 最低评分（0-5.0） | 2.0 |
--max-rating | Float | ❌ | 最高评分（0-5.0） | 5.0 |
Show full SKILL.md (151 more words)Show less
返回数据说明
1. 市场分析（keywordSummary）
市场评级
- 强烈推荐 (BEST) - 高增长、低竞争的蓝海机会
- 推荐进入 (GOOD) - 市场健康，有结构性机会
- 建议观望 (MEDIUM) - 市场平稳，需谨慎评估
- 不建议进入 (BAD) - 红海市场或需求萎缩
市场总结（Markdown格式）
##### 1. 市场机会总结
- 市场评级：✅推荐进入
- 市场总结：该关键词市场正处于需求强势扩张期...
##### 2. 市场情况分析
- 供给情况：在售商品数量过剩，落后于69%的同类市场...
- 需求情况：Amazon搜索排名持续提升...
- 商品销售情况：近30天销量达17.1万件...关键指标数据
- 需求侧
- 搜索排名趋势（近12个月）
- 销量趋势（近12个月）
- Google Trends数据
- 供给侧
- 在售商品数、品牌垄断系数、商品垄断系数
- 中国卖家占比、新品销量占比
- 商品平均评分
- 销售表现
- 30天销量/销售额及环比增长
- 平均价格及价格带分析
- 雷达图
- 市场需求分、供给分、销售分、新品分、评价分
2. 新品推荐（productList）
每个新品包含：
- 基本信息：标题、ASIN、类目、图片、链接
- 价格评分：价格区间、评分、评论数
- 销售数据：近30天销量、近12个月销量趋势
- 上架信息：上架日期、上架天数
- 同款簇信息：同款商品数、价格范围、平均评分
- 对比分析：与同类目热销品的深度对比（Markdown格式）
输出示例
命令行输出
=== 市场分析 ===
市场评级: ✅推荐进入 (GOOD)
评级说明: 高增长、高客单、低新品竞争下的结构性机会
机会分: 41.7 (击败同一级类目60.5%关键词)
📊 关键指标:
- 30天销量: 17.1w+ (↑ 69.2%)
- 30天销售额: US$4170.1w+ (↑ 113.8%)
- 平均价格: US$313.27 (较高)
- 搜索排名: # 1.9k+ (BEST)
- 在售商品数: 133 (供给适中)
- 中国卖家占比: 19.3% (中低竞争)
- 新品成交占比: 0.1% (较难突围)
=== 推荐新品 (1) ===
1. Apple iPhone 17 Pro Max, US Version...
价格: US$1449.99~US$1950.0
评分: 4.1 ⭐ (0条评论)
30天销量: 473件
上架: 2025-10-09 (75天)
同款: 12个商品
链接: https://www.amazon.com/dp/B0FTC2PRVZ/
报告已保存到: output/alphashop-sel-newproduct/report-phone-US-20261212-143000.json错误处理
常见错误码
| 错误码 | 说明 | 解决方案 |
|---|---|---|
KEYWORD_ILLEGAL | 关键词不合法 | 使用关键词查询API返回的关键词 |
TARGET_PLATFORM_ILLEGAL | 平台不合法 | 只能是 amazon 或 tiktok |
TARGET_COUNTRY_ILLEGAL | 国家不合法 | 检查国家代码是否在支持列表中 |
PRODUCT_LISTING_TIME_ERROR | 上架时间参数错误 | 只能是 "90" 或 "180" |
PRODUCT_FILTER_PARAMS_ERROR | 筛选参数错误 | 检查价格/销量/评分区间是否合理 |
PRODUCT_RECALL_EMPTY | 商品召回为空 | 放宽筛选条件（扩大价格/销量区间） |
KEYWORD_RISK_ERROR | 关键词涉及违禁 | 更换其他关键词 |
TIMEOUT_ERROR | 请求超时 | 稍后重试 |
使用技巧
1. API 依赖关系（重要！）
⚠️ 关键词来源限制：新品报告 API 的 --keyword 参数必须来自关键词搜索 API 的返回结果！
正确的使用流程：
# 步骤1：调用关键词搜索 API
python3 scripts/selection.py search \
--keyword "phone" \
--platform "amazon" \
--region "US"
# 步骤2：从返回的关键词列表中选择一个 keyword 值
# 例如返回了：
# 1. phone - keyword: "phone"
# 2. phone case - keyword: "phone case"
# 3. phone holder - keyword: "phone holder"
# 步骤3：使用选中的 keyword 调用新品报告 API
python3 scripts/selection.py report \
--keyword "phone case" # ⚠️ 必须是 search 返回的 keyword 字段值
--platform "amazon" \
--country "US"错误示例：
# ❌ 直接使用随意的关键词（会报错 KEYWORD_ILLEGAL）
python3 scripts/selection.py report \
--keyword "my random keyword" \
--platform "amazon" \
--country "US"为什么有这个限制？
- 关键词搜索 API 会对关键词进行 AI 分析和校验
- 只有经过校验的关键词才能保证新品报告的数据质量
- 随意填写的关键词可能无法匹配到有效的市场数据
2. 筛选条件设置
- 价格区间：根据目标利润空间设置，最低价 < 最高价
- 销量区间：建议设置宽松范围，避免召回为空
- 评分区间：0-5.0，建议
minRating >= 3.0过滤低质商品 - 上架时间：
"90"查找最新商品，"180"覆盖面更广
3. 报错处理
PRODUCT_RECALL_EMPTY：说明筛选条件太严，建议：- 扩大价格区间（如 1-500）
- 放宽销量要求（如 0-10000）
- 降低评分门槛（如 0-5.0）
API 接口地址
| 接口 | 方法 | URL | 响应耗时 |
|---|---|---|---|
| 关键词搜索API | POST | https://api.alphashop.cn/opp.selection.keyword.search/1.0 | 10秒内 |
| 新品报告API | POST | https://api.alphashop.cn/opp.selection.newproduct.report/1.0 | 10秒内 |
注意事项
- 响应时间：接口响应需要几十秒，请耐心等待
- 无需鉴权：API为公开接口，无需配置Token
- 同步返回：一次调用即可获得完整报告，无需轮询
- 关键词限制：仅支持单个关键词，不支持多关键词组合
- 平台差异：Amazon和TikTok的数据结构和指标略有差异
完整示例
正确的完整工作流
# ====================================
# 步骤1：关键词搜索
# ====================================
python3 scripts/selection.py search \
--keyword "yoga pants" \
--platform "amazon" \
--region "US" \
--listing-time "90"
# 输出示例：
# 1. yoga pants (瑜伽裤) - keyword: "yoga pants"
# 2. yoga pants women (女士瑜伽裤) - keyword: "yoga pants women"
# 3. yoga pants set (瑜伽裤套装) - keyword: "yoga pants set"
# ====================================
# 步骤2：选择关键词生成新品报告
# ====================================
# ⚠️ 注意：--keyword 必须使用步骤1返回的 keyword 字段值
python3 scripts/selection.py report \
--keyword "yoga pants set" \
--platform "amazon" \
--country "US" \
--listing-time "90" \
--min-price 15 \
--max-price 50 \
--min-sales 10 \
--min-rating 3.5
# ====================================
# TikTok 平台完整示例
# ====================================
# 步骤1：搜索关键词
python3 scripts/selection.py search \
--keyword "female dress" \
--platform "tiktok" \
--region "ID"
# 步骤2：生成报告
python3 scripts/selection.py report \
--keyword "female dress" # 使用步骤1返回的 keyword
--platform "tiktok" \
--country "ID" \
--listing-time "180"API 参考文档
完整的API接口和数据结构文档请参阅 references/api.md。
© LeoYeAI, 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 7 other files (scripts, references) in skills/alphashop-sel-newproduct of LeoYeAI/openclaw-master-skills.
- SKILL.md
- QUICKSTART.md
- README.md
- _meta.json
- references/api.md
- requirements.txt
- scripts/selection.py
- test.sh
Open the folder on GitHubat commit e5199b5
Compare with similar skills
Alphashop Sel Newproduct 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Alphashop Sel Newproduct this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~2.7k | Automated safety check: Pass | MIT | |
| Socialcoreyhaines31/marketingskills | 54k | 4 repos | ~4.5k | Automated safety check: Pass | MIT | |
| Last30daysmvanhorn/last30days-skill | 64k | — | ~7.9k | Automated safety check: Notes | MIT | |
| Social Contentfreekmurze/dotfiles | 1k | 23 repos | ~2.1k | Automated safety check: Pass | None | |
| Video Transcribewendy7756/AI-Video-Transcriber | 3.3k | — | ~937 | Automated safety check: Notes | Apache-2.0 | |
| Last30days CnJesseovo/last30days-skill-cn | 1.9k | — | ~2.4k | Automated safety check: Notes | MIT |
Similar skills
Last30days
mvanhorn/last30days-skill
Research what people actually say about any topic in the last 30 days.
Social Content
freekmurze/dotfiles
When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, Facebook, or other platforms.
Video Transcribe
wendy7756/AI-Video-Transcriber
Transcribe and summarize a video or podcast from a URL (YouTube, TikTok, Bilibili, Apple Podcasts, SoundCloud, 30+ platforms) or from a local media/.txt file.
Last30days Cn
Jesseovo/last30days-skill-cn
Research what Chinese internet users actually said in the last 30 days across Weibo, Xiaohongshu (RED), Bilibili, Zhihu, Douyin, WeChat public accounts, Baidu and Toutiao: engagement-weighted…
Postiz
gitroomhq/postiz-agent
Postiz is a tool to schedule social media and chat posts to 28+ channels X, LinkedIn, LinkedIn Page, Reddit, Instagram, Facebook Page, Threads, YouTube, Google My Business, TikTok, Pinterest…
More from LeoYeAI/openclaw-master-skills
All 1,200 skills in this repoDevOps Pipeline Management
LeoYeAI/openclaw-master-skills
Manages pipelines on a DevOps quality and efficiency platform through its OpenAPI: list workspaces and templates, create, update, run and cancel pipelines, and read run records.
Feishu Document Collaboration
LeoYeAI/openclaw-master-skills
Patches OpenClaw's Feishu extension so an edited document triggers an isolated agent session that reads the doc and replies inline, turning it into a live chat space.
Files Memory System
LeoYeAI/openclaw-master-skills
Multi-context memory management system for OpenClaw agents with group-isolated storage, global shared memory, workspace organization, and group-specific skills isolation.
GEO-Claw AI Visibility Agent
LeoYeAI/openclaw-master-skills
Runs a brand's AI-search visibility work end to end: diagnosing how AI platforms represent it, repositioning it, producing AI-optimized content and monitoring ongoing mentions.
Google Workspace CLI
LeoYeAI/openclaw-master-skills
Installs and authenticates the gws CLI, then automates Gmail, Drive, Sheets, Calendar, Docs, Chat and Tasks with ready-made recipes, persona bundles and security audits.
HealthFit Health Advisors
LeoYeAI/openclaw-master-skills
Runs four advisor roles, a fitness coach, nutritionist, data analyst and TCM practitioner, to build a health profile and track workouts, diet and wellness over time.
Related
Works with
Questions about Alphashop Sel Newproduct
What does Alphashop Sel Newproduct do?
AlphaShop新品选品SKILL：基于关键词和商品筛选条件生成深度市场分析和新品推荐报告. An agent skill from LeoYeAI/openclaw-master-skills. Alphashop Sel Newproduct is an agent skill from LeoYeAI/openclaw-master-skills.
How do I install Alphashop Sel Newproduct in Claude Code?
Run `npx skills add LeoYeAI/openclaw-master-skills --skill alphashop-sel-newproduct -a claude-code`. Or copy the skill folder (skills/alphashop-sel-newproduct in LeoYeAI/openclaw-master-skills) into .claude/skills/alphashop-sel-newproduct in your project. Claude Code loads it when a task matches its description.
How do I install Alphashop Sel Newproduct in Codex?
Run `npx skills add LeoYeAI/openclaw-master-skills --skill alphashop-sel-newproduct -a codex`. Or copy the skill folder (skills/alphashop-sel-newproduct in LeoYeAI/openclaw-master-skills) into .agents/skills/alphashop-sel-newproduct in your project. Codex loads it when a task matches its description.
Can I use Alphashop Sel Newproduct 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 LeoYeAI/openclaw-master-skills --skill alphashop-sel-newproduct -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/alphashop-sel-newproduct, .gemini/skills/alphashop-sel-newproduct, .github/skills/alphashop-sel-newproduct and .opencode/skills/alphashop-sel-newproduct in your project.
What does Alphashop Sel Newproduct need to run?
Going by SKILL.md and its folder, Alphashop Sel Newproduct needs Python and a shell for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named ALPHASHOP_ACCESS_KEY and ALPHASHOP_SECRET_KEY. Our summary lists: Python 3; A Bash shell; A credential in ALPHASHOP_ACCESS_KEY; A credential in ALPHASHOP_SECRET_KEY.
Does Alphashop Sel Newproduct access the network?
SKILL.md names 2 domains. In commands or code: api.alphashop.cn and amazon.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
Is Alphashop Sel Newproduct 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 Alphashop Sel Newproduct use?
Alphashop Sel Newproduct 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 Alphashop Sel Newproduct use?
About 2.7k tokens (SKILL.md is roughly 11k 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 Alphashop Sel Newproduct?
Skills that share tags, products or a category with Alphashop Sel Newproduct: Social (coreyhaines31/marketingskills, 54k stars), Last30days (mvanhorn/last30days-skill, 64k stars), Social Content (freekmurze/dotfiles, 1k stars) and Video Transcribe (wendy7756/AI-Video-Transcriber, 3.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Alphashop Sel Newproduct?
LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.
Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.