SEO API
seranking/seo-skills
SE Ranking API integration architect. An agent skill from seranking/seo-skills.
Agent skill
Sellersprite Amazon Research
by liangdabiao in 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…
Install Sellersprite Amazon Research
$ npx skills add liangdabiao/amazon-sorftime-research-MCP-skill --skill sellersprite-amazon-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install liangdabiao/amazon-sorftime-research-MCP-skill sellersprite-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/sellersprite-amazon-research .claude/skills/sellersprite-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 "sellersprite-amazon-research" agent skill from https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill/tree/main/SKILLS/skills/sellersprite-amazon-research into .claude/skills/sellersprite-amazon-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sellersprite-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/sellersprite-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 sellersprite-amazon-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install liangdabiao/amazon-sorftime-research-MCP-skill sellersprite-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/sellersprite-amazon-research .agents/skills/sellersprite-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 "sellersprite-amazon-research" agent skill from https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill/tree/main/SKILLS/skills/sellersprite-amazon-research into .agents/skills/sellersprite-amazon-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sellersprite-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 sellersprite-amazon-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install liangdabiao/amazon-sorftime-research-MCP-skill sellersprite-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/sellersprite-amazon-research .cursor/skills/sellersprite-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 "sellersprite-amazon-research" agent skill from https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill/tree/main/SKILLS/skills/sellersprite-amazon-research into .cursor/skills/sellersprite-amazon-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sellersprite-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/sellersprite-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 sellersprite-amazon-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install liangdabiao/amazon-sorftime-research-MCP-skill sellersprite-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/sellersprite-amazon-research .gemini/skills/sellersprite-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 "sellersprite-amazon-research" agent skill from https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill/tree/main/SKILLS/skills/sellersprite-amazon-research into .gemini/skills/sellersprite-amazon-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sellersprite-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 sellersprite-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 sellersprite-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/sellersprite-amazon-research .github/skills/sellersprite-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 "sellersprite-amazon-research" agent skill from https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill/tree/main/SKILLS/skills/sellersprite-amazon-research into .github/skills/sellersprite-amazon-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sellersprite-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 sellersprite-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 sellersprite-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/sellersprite-amazon-research .opencode/skills/sellersprite-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 "sellersprite-amazon-research" agent skill from https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill/tree/main/SKILLS/skills/sellersprite-amazon-research into .opencode/skills/sellersprite-amazon-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sellersprite-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.
Facts
- Skill name
sellersprite-amazon-research- GitHub stars
- 959
- Token cost
- ~4.3k tokens
- SKILL.md length
- 1,130 words
- Files
- 47 (incl. scripts)
- Skills in repo
- 9
- Repo updated
- First seen
- Licence
- None found
At a glance
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 in 5 steps: 数据源 — 以刚完成的 market_report.md 为数据源，不额外调 API → 全面展示 —… → 图表呈现 — 关键数据用 Canvas 图表展示（价格/BSR… → …
- Tasks that involve Market research
- SKILL.md covers 重要：MCP 连接配置, 工具调用方式, 关键：参数传递模式 and 全局参数默认值, plus 4 more sections
- Calls curl and python3; reaches mcp.sellersprite.com
What it does
Sellersprite Amazon Research is an agent skill from 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, /competitor-analysis, /keyword-research, /listing-optimizer, /traffic-analysis, /opportunity-finder, /review-insights, /pricing-strategy, /ad-optimizer 等命令 (3) 用户提及新品爆发、隐形爆款、ABA 增长词、低品牌垄断、评论分析等选品策略。适用于跨境电商卖家、Amazon 运营和产品开发决策。
Its SKILL.md is about 4.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 48 other files, including scripts (for example `README.md`, `comprehensive/ad-optimizer.md` and `comprehensive/competitor-analysis.md`).
It sits in Marketing & SEO, covering Market research, Keyword research and Competitor 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。
When your agent uses it
- Tasks that involve Market research
- Tasks that involve Keyword research
- Tasks that involve Competitor analysis
Example prompts
- “/sellersprite-amazon-research”
Requirements
- Python 3
- A credential in YOUR_KEY
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- 数据源 — 以刚完成的 market_report.md 为数据源，不额外调 API
- 全面展示 — 覆盖报告的每个核心维度（概览、销量、流量、关键词、竞争、市场、评论、价格、SWOT、行动建议）
- 图表呈现 — 关键数据用 Canvas 图表展示（价格/BSR 趋势、对比柱状图、趋势线等）
- 设计风格 — 深色专业主题、配色统一、响应式适配、交互流畅
- 输出 — 保存到与 MD 相同的目录 {类别名}/market_report.html
What it can do on your machine
Read from SKILL.md and the folder at commit 568be29. 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/, which the agent can run.
Shell commands in SKILL.md call:
curlpython3
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.sellersprite.com
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
Sellersprite Amazon Research loads about 4.3k tokens when it runs. Until then it costs about 109 tokens; SKILL.md has 1,130 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 1,130 words (~4,296 tokens).
“.mcp.json 必须使用以下格式（⚠️ 密钥通过 header 传入，不是 URL 参数）：”
- name
- sellersprite-amazon-research
Files
SKILL.md and 46 other files (scripts) in SKILLS/skills/sellersprite-amazon-research of liangdabiao/amazon-sorftime-research-MCP-skill.
- SKILL.md
- README.md
- comprehensive/ad-optimizer.md
- comprehensive/competitor-analysis.md
- comprehensive/keyword-research.md
- comprehensive/listing-optimizer.md
- comprehensive/market-analysis.md
- comprehensive/opportunity-finder.md
- comprehensive/pricing-strategy.md
- comprehensive/product-research.md
- comprehensive/review-insights.md
- comprehensive/traffic-analysis.md
- reference/asin_detail.md
- reference/competitor_lookup.md
- reference/keyword_miner.md
- reference/market_research.md
- reference/product_research.md
- reference/tools_index.md
- reference/traffic_keyword.md
- … and 28 more
Open the folder on GitHubat commit 568be29
Compare with similar skills
Sellersprite 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 |
|---|---|---|---|---|---|---|
| Sellersprite Amazon Research this skillliangdabiao/amazon-sorftime-research-MCP-skill | 959 | — | ~4.3k | Automated safety check: Pass | None | |
| SEO APIseranking/seo-skills | 161 | — | ~4.1k | Automated safety check: Pass | MIT | |
| SEO Dataforseohashgraph-online/awesome-codex-plugins | 1.3k | — | ~4.5k | Automated safety check: Notes | MIT | |
| SEO DataforseoAgriciDaniel/codex-seo | 799 | 2 repos | ~4.6k | Automated safety check: Pass | MIT | |
| DataForSEO Live SEO DataAgriciDaniel/claude-seo | 19k | — | ~4.4k | Automated safety check: Pass | MIT | |
| Localseodata Toolgarrettjsmith/localseoskills | 121 | — | ~4.1k | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about Sellersprite Amazon Research
What does Sellersprite Amazon Research do?
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…. Sellersprite Amazon Research is an agent skill from liangdabiao/amazon-sorftime-research-MCP-skill.
When should I use Sellersprite Amazon Research?
Sellersprite Amazon Research fits situations like: tasks that involve Market research; tasks that involve Keyword research; tasks that involve Competitor analysis.
How do I install Sellersprite Amazon Research in Claude Code?
Run `npx skills add liangdabiao/amazon-sorftime-research-MCP-skill --skill sellersprite-amazon-research -a claude-code`. Or copy the skill folder (SKILLS/skills/sellersprite-amazon-research in liangdabiao/amazon-sorftime-research-MCP-skill) into .claude/skills/sellersprite-amazon-research in your project. Claude Code loads it when a task matches its description.
How do I install Sellersprite Amazon Research in Codex?
Run `npx skills add liangdabiao/amazon-sorftime-research-MCP-skill --skill sellersprite-amazon-research -a codex`. Or copy the skill folder (SKILLS/skills/sellersprite-amazon-research in liangdabiao/amazon-sorftime-research-MCP-skill) into .agents/skills/sellersprite-amazon-research in your project. Codex loads it when a task matches its description.
Can I use Sellersprite Amazon Research 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 sellersprite-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/sellersprite-amazon-research, .gemini/skills/sellersprite-amazon-research, .github/skills/sellersprite-amazon-research and .opencode/skills/sellersprite-amazon-research in your project.
What does Sellersprite Amazon Research need to run?
Going by SKILL.md and its folder, Sellersprite Amazon Research needs the command-line tools its instructions call (curl and python3). Our summary lists: Python 3; A credential in YOUR_KEY.
Does Sellersprite Amazon Research access the network?
SKILL.md names 1 domain. In commands or code: mcp.sellersprite.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Sellersprite Amazon Research 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 Sellersprite Amazon Research use?
No licence was found for Sellersprite Amazon Research or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Sellersprite Amazon Research use?
About 4.3k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Sellersprite Amazon Research?
Skills that share tags, products or a category with Sellersprite Amazon Research: SEO API (seranking/seo-skills, 161 stars), SEO Dataforseo (hashgraph-online/awesome-codex-plugins, 1.3k stars), SEO Dataforseo (AgriciDaniel/codex-seo, 799 stars) and DataForSEO Live SEO Data (AgriciDaniel/claude-seo, 19k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sellersprite Amazon Research?
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.