亚马逊品类自动化选品分析技能。通过五维评分模型对亚马逊品类进行深度市场调研,生成Markdown分析报告。当用户使用 /category-selection 命令或提出'分析XX品类'、'XX品类市场调研'、'XX品类选品'等需求时触发此技能。支持配置分析数量,默认Top20。

No licenceAuto-check passedMarketing & SEO

Install Category Selection

skills CLI
$ npx skills add liangdabiao/amazon-sorftime-research-MCP-skill --skill category-selection -a claude-code

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

GitHub CLI
$ gh skill install liangdabiao/amazon-sorftime-research-MCP-skill category-selection --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/liangdabiao/amazon-sorftime-research-MCP-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/SKILLS/skills/category-selection .claude/skills/category-selection && 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
category-selection
GitHub stars
946
Used in
1 other repo
Token cost
~2.9k tokens
SKILL.md length
625 words
Files
25 (incl. scripts, references, assets)
Skills in repo
9
Repo updated
First seen
Licence
None found

At a glance

亚马逊品类自动化选品分析技能。通过五维评分模型对亚马逊品类进行深度市场调研,生成Markdown分析报告。当用户使用 /category-selection 命令或提出'分析XX品类'、'XX品类市场调研'、'XX品类选品'等需求时触发此技能。支持配置分析数量,默认Top20。

  • Works in 6 steps: API Key 未设置 → JSON 解析失败 - 未转义的控制字符 → 类目未找到 → …
  • Marketing & SEO work in your project
  • SKILL.md covers 快速参考, 触发条件, 角色设定 and 五维评分模型 (标准版), plus 7 more sections
  • Runs Python scripts from its folder; calls curl and python; reaches mcp.sorftime.com; needs SORFTIME_API_KEY and API_KEY

What it does

Category Selection is an agent skill from liangdabiao/amazon-sorftime-research-MCP-skill. 亚马逊品类自动化选品分析技能。通过五维评分模型对亚马逊品类进行深度市场调研,生成Markdown分析报告。当用户使用 /category-selection 命令或提出'分析XX品类'、'XX品类市场调研'、'XX品类选品'等需求时触发此技能。支持配置分析数量,默认Top20。

Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 27 other files, including scripts, reference files and assets (for example `CHANGELOG.md`, `assets/report_template.md` and `references/api-quick-reference.md`).

It sits in Marketing & SEO. The repository describes itself as: 亚马逊选品 之 Listing全维度穿透分析报告 加上 全品类分析 ,关键词分析,差评分析 ,市场调研 等等。codex/claude code agent skill, amazon sorftime MCP/西柚mcp/sif mcp/卖家精灵sellersprite 智能体skill. 亚马逊跨境电商skill工具集。

When your agent uses it

  • Marketing & SEO work in your project

Example prompts

  • “分析XX品类”
  • “XX品类市场调研”
  • “XX品类选品”
  • “/category-selection”

Requirements

  • Python 3
  • A credential in YOUR_API_KEY
  • A credential in API_KEY

Workflow steps

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

  1. API Key 未设置
  2. JSON 解析失败 - 未转义的控制字符
  3. 类目未找到
  4. 数据解析失败 (Mojibake 编码问题)
  5. Python dict 格式问题
  6. 大类目搜索失败

What it can do on your machine

Read from SKILL.md and the folder at commit 1b7afac. 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 10 files in scripts/ (Python, from the files we listed), which the agent can run.

    Shell commands in SKILL.md call:

    • curl
    • python

    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:

    • mcp.sorftime.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • SORFTIME_API_KEY
    • API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Category Selection loads about 2.9k tokens when it runs, and up to ~10k if it reads all its reference files. Until then it costs about 40 tokens; SKILL.md has 625 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~40
When it runs · the whole SKILL.md, loaded when a task matches
~2.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~10k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 625 words (~2,934 tokens).

name
category-selection

Read the full SKILL.md on GitHub

Files

SKILL.md and 24 other files (scripts, references, assets) in SKILLS/skills/category-selection of liangdabiao/amazon-sorftime-research-MCP-skill.

  • SKILL.md
  • CHANGELOG.md
  • assets/dashboard_template.html
  • assets/report_template.md
  • references/api-quick-reference.md
  • references/category-api-reference.md
  • references/scoring-standard.md
  • references/sorftime-mcp-api.md
  • scripts/analyze_category.py
  • scripts/data_adapter.py
  • scripts/data_utils.py
  • scripts/extract_category_stats.py
  • scripts/extract_top_products.py
  • scripts/fix_encoding.py
  • scripts/generate_excel_report.py
  • scripts/generate_markdown_report.py
  • scripts/generate_reports.py
  • scripts/keywords_parser.py
  • … and 7 more

Open the folder on GitHubat commit 1b7afac

Used in 1 other repository

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in liangdabiao/amazon-sorftime-research-MCP-skill, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Category Selection 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.

Category Selection compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Category Selection this skillliangdabiao/amazon-sorftime-research-MCP-skill9461 repos~2.9kAutomated safety check: PassNone
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Ab Testingcoreyhaines31/marketingskills54k3 repos~2.8kAutomated safety check: PassMIT
Hreflang and International SEOAgriciDaniel/claude-seo18k5 repos~3.4kAutomated safety check: PassMIT
Referralscoreyhaines31/marketingskills54k2 repos~2.4kAutomated safety check: PassMIT
SEO GeoReScienceLab/opc-skills1.8k4 repos~2.1kAutomated safety check: PassApache-2.0

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Categories

Questions about Category Selection

What does Category Selection do?

亚马逊品类自动化选品分析技能。通过五维评分模型对亚马逊品类进行深度市场调研,生成Markdown分析报告。当用户使用 /category-selection 命令或提出'分析XX品类'、'XX品类市场调研'、'XX品类选品'等需求时触发此技能。支持配置分析数量,默认Top20。. Category Selection is an agent skill from liangdabiao/amazon-sorftime-research-MCP-skill.

When should I use Category Selection?

Category Selection fits situations like: marketing & SEO work in your project.

How do I install Category Selection in Claude Code?

Run `npx skills add liangdabiao/amazon-sorftime-research-MCP-skill --skill category-selection -a claude-code`. Or copy the skill folder (SKILLS/skills/category-selection in liangdabiao/amazon-sorftime-research-MCP-skill) into .claude/skills/category-selection in your project. Claude Code loads it when a task matches its description.

How do I install Category Selection in Codex?

Run `npx skills add liangdabiao/amazon-sorftime-research-MCP-skill --skill category-selection -a codex`. Or copy the skill folder (SKILLS/skills/category-selection in liangdabiao/amazon-sorftime-research-MCP-skill) into .agents/skills/category-selection in your project. Codex loads it when a task matches its description.

Can I use Category Selection 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 liangdabiao/amazon-sorftime-research-MCP-skill --skill category-selection -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/category-selection, .gemini/skills/category-selection, .github/skills/category-selection and .opencode/skills/category-selection in your project.

What does Category Selection need to run?

Going by SKILL.md and its folder, Category Selection needs Python for the scripts in its folder, the command-line tools its instructions call (curl and python) and credentials named SORFTIME_API_KEY and API_KEY. Our summary lists: Python 3; A credential in YOUR_API_KEY; A credential in API_KEY.

Does Category Selection access the network?

SKILL.md names 1 domain. In commands or code: mcp.sorftime.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Category Selection 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 Category Selection use?

No licence was found for Category Selection or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Category Selection use?

About 2.9k tokens (SKILL.md is roughly 12k 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 7.1k tokens, read only when the agent opens those files.

What are the alternatives to Category Selection?

Skills that share tags, products or a category with Category Selection: Geo Fundamentals (wasp-lang/wasp, 19k stars), Ab Testing (coreyhaines31/marketingskills, 54k stars), Hreflang and International SEO (AgriciDaniel/claude-seo, 18k stars) and Referrals (coreyhaines31/marketingskills, 54k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Category Selection?

liangdabiao (a GitHub user) maintains it in liangdabiao/amazon-sorftime-research-MCP-skill, which has 946 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on July 8, 2026.

Source: liangdabiao/amazon-sorftime-research-MCP-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.