Geo Fundamentals
wasp-lang/wasp
Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
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。
$ npx skills add liangdabiao/amazon-sorftime-research-MCP-skill --skill category-selection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install liangdabiao/amazon-sorftime-research-MCP-skill category-selection --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/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-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 "category-selection" agent skill from https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill/tree/main/SKILLS/skills/category-selection into .claude/skills/category-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "category-selection", 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/liangdabiao/amazon-sorftime-research-MCP-skill/tree/main/SKILLS/skills/category-selectionType 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 liangdabiao/amazon-sorftime-research-MCP-skill --skill category-selection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install liangdabiao/amazon-sorftime-research-MCP-skill category-selection --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/SKILLS/skills/category-selection .agents/skills/category-selection && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "category-selection" agent skill from https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill/tree/main/SKILLS/skills/category-selection into .agents/skills/category-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "category-selection", 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 liangdabiao/amazon-sorftime-research-MCP-skill --skill category-selection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install liangdabiao/amazon-sorftime-research-MCP-skill category-selection --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/SKILLS/skills/category-selection .cursor/skills/category-selection && 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 "category-selection" agent skill from https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill/tree/main/SKILLS/skills/category-selection into .cursor/skills/category-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "category-selection", 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/liangdabiao/amazon-sorftime-research-MCP-skill.git --path SKILLS/skills/category-selection--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 liangdabiao/amazon-sorftime-research-MCP-skill --skill category-selection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install liangdabiao/amazon-sorftime-research-MCP-skill category-selection --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/SKILLS/skills/category-selection .gemini/skills/category-selection && 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 "category-selection" agent skill from https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill/tree/main/SKILLS/skills/category-selection into .gemini/skills/category-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "category-selection", 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 liangdabiao/amazon-sorftime-research-MCP-skill category-selectionInstalls 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 liangdabiao/amazon-sorftime-research-MCP-skill --skill category-selection -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/SKILLS/skills/category-selection .github/skills/category-selection && 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 "category-selection" agent skill from https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill/tree/main/SKILLS/skills/category-selection into .github/skills/category-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "category-selection", 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 liangdabiao/amazon-sorftime-research-MCP-skill --skill category-selection -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install liangdabiao/amazon-sorftime-research-MCP-skill category-selection --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/SKILLS/skills/category-selection .opencode/skills/category-selection && 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 "category-selection" agent skill from https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill/tree/main/SKILLS/skills/category-selection into .opencode/skills/category-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "category-selection", 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.
category-selection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. 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。
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 568be29. It shows what the files ask for, not the result of running them.
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.
Ships 10 files in scripts/ (Python, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
curlpythonFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
mcp.sorftime.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
SORFTIME_API_KEYAPI_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 625 words (~2,934 tokens).
SKILL.md and 24 other files (scripts, references, assets) in SKILLS/skills/category-selection of liangdabiao/amazon-sorftime-research-MCP-skill.
Open the folder on GitHubat commit 568be29
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.
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Category Selection this skillliangdabiao/amazon-sorftime-research-MCP-skill | 953 | 1 repos | ~2.9k | Automated safety check: Pass | None | |
| Geo Fundamentalswasp-lang/wasp | 19k | 9 repos | ~861 | Automated safety check: Pass | MIT | |
| Ab Testingcoreyhaines31/marketingskills | 54k | 3 repos | ~3.1k | Automated safety check: Pass | MIT | |
| Hreflang and International SEOAgriciDaniel/claude-seo | 19k | 5 repos | ~3.4k | Automated safety check: Pass | MIT | |
| Referralscoreyhaines31/marketingskills | 54k | 2 repos | ~2.6k | Automated safety check: Pass | MIT | |
| SEO GeoReScienceLab/opc-skills | 1.8k | 4 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 |
wasp-lang/wasp
Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
coreyhaines31/marketingskills
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program.
AgriciDaniel/claude-seo
Audits, validates and generates hreflang tags for multi-language and multi-region sites in HTML, HTTP headers or XML sitemaps, flagging common code and return-tag mistakes.
coreyhaines31/marketingskills
When the user wants to create, optimize, or analyze a referral program, affiliate program, or word-of-mouth strategy.
ReScienceLab/opc-skills
SEO & GEO (Generative Engine Optimization) for websites. An agent skill from ReScienceLab/opc-skills.
LeoYeAI/openclaw-marketing-skills
When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform.
liangdabiao/amazon-sorftime-research-MCP-skill
对亚马逊商品评论进行深度分析,自动识别产品痛点、分析退货原因,生成改进建议和客服回复模板。Invoke when user uses /review-analysis command with a product ASIN.
liangdabiao/amazon-sorftime-research-MCP-skill
基于Sorftime MCP的深度选品调研。通过LLM Agent执行多维度分析:数据采集→属性标注→交叉分析→竞品VOC→壁垒评估→选品决策评估。交互式执行,输出Markdown报告和Dashboard看板。
liangdabiao/amazon-sorftime-research-MCP-skill
对亚马逊竞品Listing进行全维度穿透分析,包括文案逻辑、评论分析、关键词分析、市场动态等。分析完成后自动保存为Markdown报告文档到reports/目录。Invoke when user uses /amazon-analyse command with a product ASIN.
liangdabiao/amazon-sorftime-research-MCP-skill
亚马逊关键词深度调研与智能分类分析。基于 Sorftime MCP 数据采集 2000+ 关键词,通过 LLM Agent 按 8 维度智能分类(否定词、品牌词、材质词、场景词、属性词、功能词、核心词、其他),生成 Markdown 报告、CSV 词库和 HTML 仪表板。触发方式:/keyword-research {ASIN} {SITE}
liangdabiao/amazon-sorftime-research-MCP-skill
卖家精灵 Amazon 全链路数据调研 Skill。通过 43 个 MCP 数据工具完成选品分析、关键词研究、竞品监控、市场分析、定价策略、评论分析、广告优化、流量分析、Listing 优化和蓝海机会挖掘。触发场景:(1) 用户询问 Amazon 选品/市场/竞品分析 (2) 用户输入 /product-research, /market-analysis…
liangdabiao/amazon-sorftime-research-MCP-skill
基于西柚洞察MCP的亚马逊竞品分析与广告策略工具。提供7大核心工作场景:实时监控广告投放效果、快速找到高性价比流量缺口、快速拆解对标竞对打法、提升新品推广效率、精准拆解竞品流量以及广告策略、透视竞品广告策略和预算、高效搭建关键词库。适用于亚马逊卖家进行竞品分析、广告优化和关键词研究。
Categories
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.
Category Selection fits situations like: marketing & SEO work in your project.
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.
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.
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.
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.
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.
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.
No licence was found for Category Selection or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
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.
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, 19k 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.
liangdabiao (a GitHub user) maintains it in liangdabiao/amazon-sorftime-research-MCP-skill, which has 953 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on October 9, 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.