SEO API
seranking/seo-skills
SE Ranking API integration architect. An agent skill from seranking/seo-skills.
A skill your agent uses for Amazon e-commerce research, market validation, competitor analysis, traffic diagnosis, keyword strategy, advertising review, launch evaluation, and growth optimization…
$ npx skills add liangdabiao/amazon-sorftime-research-MCP-skill --skill sif-amazon-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install liangdabiao/amazon-sorftime-research-MCP-skill sif-amazon-research --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/sif-amazon-research .claude/skills/sif-amazon-research && 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 "sif-amazon-research" agent skill from https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill/tree/main/SKILLS/skills/sif-amazon-research into .claude/skills/sif-amazon-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sif-amazon-research", 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/sif-amazon-researchType 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 sif-amazon-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install liangdabiao/amazon-sorftime-research-MCP-skill sif-amazon-research --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/sif-amazon-research .agents/skills/sif-amazon-research && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sif-amazon-research" agent skill from https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill/tree/main/SKILLS/skills/sif-amazon-research into .agents/skills/sif-amazon-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sif-amazon-research", 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 sif-amazon-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install liangdabiao/amazon-sorftime-research-MCP-skill sif-amazon-research --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/sif-amazon-research .cursor/skills/sif-amazon-research && 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 "sif-amazon-research" agent skill from https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill/tree/main/SKILLS/skills/sif-amazon-research into .cursor/skills/sif-amazon-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sif-amazon-research", 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/sif-amazon-research--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 sif-amazon-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install liangdabiao/amazon-sorftime-research-MCP-skill sif-amazon-research --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/sif-amazon-research .gemini/skills/sif-amazon-research && 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 "sif-amazon-research" agent skill from https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill/tree/main/SKILLS/skills/sif-amazon-research into .gemini/skills/sif-amazon-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sif-amazon-research", 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 sif-amazon-researchInstalls 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 sif-amazon-research -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/sif-amazon-research .github/skills/sif-amazon-research && 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 "sif-amazon-research" agent skill from https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill/tree/main/SKILLS/skills/sif-amazon-research into .github/skills/sif-amazon-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sif-amazon-research", 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 sif-amazon-research -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 sif-amazon-research --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/sif-amazon-research .opencode/skills/sif-amazon-research && 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 "sif-amazon-research" agent skill from https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill/tree/main/SKILLS/skills/sif-amazon-research into .opencode/skills/sif-amazon-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sif-amazon-research", 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.
sif-amazon-researchA skill your agent uses for Amazon e-commerce research, market validation, competitor analysis, traffic diagnosis, keyword strategy, advertising review, launch evaluation, and growth optimization…
Sif Amazon Research is an agent skill from liangdabiao/amazon-sorftime-research-MCP-skill. Use this skill for Amazon e-commerce research, market validation, competitor analysis, traffic diagnosis, keyword strategy, advertising review, launch evaluation, and growth optimization using the Sif MCP server and Sif's real marketplace, traffic, keyword, sales, and ad data. Trigger when users mention Sif, Sif MCP, ASIN research, Amazon product opportunity research, keyword opportunity, competitor teardown, traffic drop/root-cause diagnosis, advertising structure review, or whether a product/market is worth…
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/field-notes.md`, `references/research-playbooks.md` and `references/sif-tool-map.md`).
It sits in Marketing & SEO, covering Competitor analysis, MCP servers and Root cause analysis. It works with Model Context Protocol. 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。
4 steps, taken from the first numbered list 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.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Sif Amazon Research loads about 1k tokens when it runs, and up to ~4.6k if it reads all its reference files. Until then it costs about 148 tokens; SKILL.md has 476 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); files beside SKILL.md are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 476 words (~1,024 tokens).
“Use Sif MCP as the evidence source whenever available. Do not infer final business conclusions from one metric alone.”
SKILL.md and 3 other files (references) in SKILLS/skills/sif-amazon-research of liangdabiao/amazon-sorftime-research-MCP-skill.
Open the folder on GitHubat commit 568be29
Sif Amazon Research 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 |
|---|---|---|---|---|---|---|
| Sif Amazon Research this skillliangdabiao/amazon-sorftime-research-MCP-skill | 959 | — | ~1k | Automated safety check: Pass | None | |
| SEO APIseranking/seo-skills | 161 | — | ~4.1k | Automated safety check: Pass | MIT | |
| 03 Performance Eval Globalminhnv0807/ai-business-skills | 609 | — | ~3.5k | Automated safety check: Pass | MIT | |
| SEO Dataforseohashgraph-online/awesome-codex-plugins | 1.3k | — | ~4.5k | Automated safety check: Notes | MIT | |
| Amazon Listing Competitor Analysisbrowser-act/skills | 6.1k | 1 repos | ~3.2k | Automated safety check: Pass | MIT | |
| SEO DataforseoAgriciDaniel/codex-seo | 799 | 2 repos | ~4.6k | Automated safety check: Pass | MIT |
seranking/seo-skills
SE Ranking API integration architect. An agent skill from seranking/seo-skills.
minhnv0807/ai-business-skills
A skill your agent uses when marketing numbers look bad and the user needs to know WHY — layered root-cause diagnosis across tracking, delivery, creative, landing page, offer, and audience quality…
hashgraph-online/awesome-codex-plugins
Live SEO data via DataForSEO API credentials. An agent skill from hashgraph-online/awesome-codex-plugins.
browser-act/skills
Analyzes a competitor's Amazon listing by ASIN with BrowserAct data extraction, then reports what it does well, where the market has gaps and opportunity points for your own listing.
AgriciDaniel/codex-seo
Live SEO data via DataForSEO MCP server. An agent skill from AgriciDaniel/codex-seo.
cablate/mcp-google-map
Search places, resolve addresses, compare routes, inspect neighborhoods, and retrieve geographic or environmental facts through the standalone @cablate/mcp-google-map CLI.
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。
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…
Works with
Categories
A skill your agent uses for Amazon e-commerce research, market validation, competitor analysis, traffic diagnosis, keyword strategy, advertising review, launch evaluation, and growth optimization…. Sif Amazon Research is an agent skill from liangdabiao/amazon-sorftime-research-MCP-skill. Use this skill for Amazon e-commerce research, market validation, competitor analysis, traffic diagnosis, keyword strategy, advertising review, launch evaluation, and growth optimization using the Sif MCP server and Sif's real marketplace, traffic, keyword, sales, and ad data.
Sif Amazon Research fits situations like: amazon e-commerce research; market validation; competitor analysis; traffic diagnosis.
Run `npx skills add liangdabiao/amazon-sorftime-research-MCP-skill --skill sif-amazon-research -a claude-code`. Or copy the skill folder (SKILLS/skills/sif-amazon-research in liangdabiao/amazon-sorftime-research-MCP-skill) into .claude/skills/sif-amazon-research in your project. Claude Code loads it when a task matches its description.
Run `npx skills add liangdabiao/amazon-sorftime-research-MCP-skill --skill sif-amazon-research -a codex`. Or copy the skill folder (SKILLS/skills/sif-amazon-research in liangdabiao/amazon-sorftime-research-MCP-skill) into .agents/skills/sif-amazon-research 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 sif-amazon-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sif-amazon-research, .gemini/skills/sif-amazon-research, .github/skills/sif-amazon-research and .opencode/skills/sif-amazon-research in your project.
SKILL.md names no scripts, command-line tools or credentials: Sif Amazon Research is instructions for the agent only.
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.
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. Review the folder before installing.
No licence was found for Sif Amazon Research or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 1k tokens (SKILL.md is roughly 4.1k 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 3.6k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Sif Amazon Research: SEO API (seranking/seo-skills, 161 stars), 03 Performance Eval Global (minhnv0807/ai-business-skills, 609 stars), SEO Dataforseo (hashgraph-online/awesome-codex-plugins, 1.3k stars) and Amazon Listing Competitor Analysis (browser-act/skills, 6.1k 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 959 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.