MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Agent skill
Sealeap Xiezhi Amazon AI Product Research Governance
Govern AI-assisted Amazon product research by separating automatable evidence work from human commercial judgment.
MITAuto-check passed
Install Sealeap Xiezhi Amazon AI Product Research Governance
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-ai-product-research-governance -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-xiezhi-amazon-ai-product-research-governance --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/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-ai-product-research-governance .claude/skills/sealeap-xiezhi-amazon-ai-product-research-governance && 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 "sealeap-xiezhi-amazon-ai-product-research-governance" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-ai-product-research-governance into .claude/skills/sealeap-xiezhi-amazon-ai-product-research-governance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-xiezhi-amazon-ai-product-research-governance", 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/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-ai-product-research-governanceType 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 xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-ai-product-research-governance -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-xiezhi-amazon-ai-product-research-governance --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-ai-product-research-governance .agents/skills/sealeap-xiezhi-amazon-ai-product-research-governance && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sealeap-xiezhi-amazon-ai-product-research-governance" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-ai-product-research-governance into .agents/skills/sealeap-xiezhi-amazon-ai-product-research-governance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-xiezhi-amazon-ai-product-research-governance", 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 xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-ai-product-research-governance -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-xiezhi-amazon-ai-product-research-governance --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-ai-product-research-governance .cursor/skills/sealeap-xiezhi-amazon-ai-product-research-governance && 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 "sealeap-xiezhi-amazon-ai-product-research-governance" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-ai-product-research-governance into .cursor/skills/sealeap-xiezhi-amazon-ai-product-research-governance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-xiezhi-amazon-ai-product-research-governance", 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/xjli360/sealeap-amazon-skills.git --path amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-ai-product-research-governance--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 xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-ai-product-research-governance -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-xiezhi-amazon-ai-product-research-governance --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-ai-product-research-governance .gemini/skills/sealeap-xiezhi-amazon-ai-product-research-governance && 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 "sealeap-xiezhi-amazon-ai-product-research-governance" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-ai-product-research-governance into .gemini/skills/sealeap-xiezhi-amazon-ai-product-research-governance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-xiezhi-amazon-ai-product-research-governance", 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 xjli360/sealeap-amazon-skills sealeap-xiezhi-amazon-ai-product-research-governanceInstalls 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 xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-ai-product-research-governance -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-ai-product-research-governance .github/skills/sealeap-xiezhi-amazon-ai-product-research-governance && 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 "sealeap-xiezhi-amazon-ai-product-research-governance" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-ai-product-research-governance into .github/skills/sealeap-xiezhi-amazon-ai-product-research-governance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-xiezhi-amazon-ai-product-research-governance", 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 xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-ai-product-research-governance -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-xiezhi-amazon-ai-product-research-governance --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-ai-product-research-governance .opencode/skills/sealeap-xiezhi-amazon-ai-product-research-governance && 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 "sealeap-xiezhi-amazon-ai-product-research-governance" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-ai-product-research-governance into .opencode/skills/sealeap-xiezhi-amazon-ai-product-research-governance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-xiezhi-amazon-ai-product-research-governance", 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
sealeap-xiezhi-amazon-ai-product-research-governance- GitHub stars
- 251
- Token cost
- ~538 tokens
- SKILL.md length
- 106 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 179
- Repo updated
- First seen
- Licence
- MIT
At a glance
Govern AI-assisted Amazon product research by separating automatable evidence work from human commercial judgment.
- Works in 6 steps: 拆分任务 → 追问口径 → 校验竞品 → …
- Auditing an AI selection workflow
- SKILL.md covers 目标, 适用任务, 开始前要拿到 and 不可妥协的边界, plus 4 more sections
- Runs Python scripts from its folder
What it does
Sealeap Xiezhi Amazon AI Product Research Governance is an agent skill from xjli360/sealeap-amazon-skills. Govern AI-assisted Amazon product research by separating automatable evidence work from human commercial judgment. Use when auditing an AI selection workflow, prompt, agent, or Skill that produces product recommendations.
Its SKILL.md is about 540 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/mcp-data-plan.md` and `references/playbook.md`).
It works with Model Context Protocol. The repository describes itself as: Reusable Agent Skills for Amazon product research, listings, advertising, inventory, and operations. The licence is MIT.
When your agent uses it
- Auditing an AI selection workflow
- Skill that produces product recommendations
Example prompts
- “/sealeap-xiezhi-amazon-ai-product-research-governance”
Requirements
- Python 3
Workflow steps
6 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 497d4b8. 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), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
Sealeap Xiezhi Amazon AI Product Research Governance loads about 538 tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 69 tokens; SKILL.md has 106 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 xjli360/sealeap-amazon-skills at commit 497d4b8, republished under its MIT licence (© xjli360). 106 words, ~538 tokens.
Download SKILL.mdSave it as
.claude/skills/sealeap-xiezhi-amazon-ai-product-research-governance/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- sealeap-xiezhi-amazon-ai-product-research-governance
- description
- Govern AI-assisted Amazon product research by separating automatable evidence work from human commercial judgment. Use when auditing an AI selection workflow, prompt, agent, or Skill that produces product recommendations.
Amazon AI 选品判断治理
目标
让 AI 承担批量取数、整理和反证，而把竞品定义、需求真实性、差异化取舍与最终立项保留在人类决策门内。
适用任务
- 审计一个 AI 选品 Agent 是否只是加速了错误规则。
- 设计人机协作的选品流程与证据门槛。
- 复核 AI 给出的蓝海、竞争、需求或差异化结论。
开始前要拿到
- Agent 的提示词、工具清单、规则、阈值和样例输出。
- 候选产品事实、直接竞品定义和各数据字段的统计口径。
- 成功/失败案例、人工判断标准和风险偏好。
- 允许自动执行的动作与必须人工批准的动作。
缺少字段时列出证据缺口，并把相关结论标为 FACT、ESTIMATE、ASSUMPTION 或 UNKNOWN；不要补造数据。
不可妥协的边界
- 第三方数据均为估算或代理证据；Amazon 一方报告、后台实时字段和产品事实优先。
- 经验阈值只能作为可调起点，必须展示敏感性分析，不能写成 Amazon 官方规则。
- 不得捏造销量、搜索量、CPC、CVR、成本、认证、产品属性或消费者需求。
- 默认提供诊断或草案。写入前展示对象、旧值、新值、影响、停止线与回退，核对用户已有授权是否覆盖对象、动作与预算；范围已明确授权时继续执行并回读核验，只有未覆盖或扩大的范围才请求批准。
- 不输出或保存素材来源身份、账号、链接、作品编号、互动数据、原始话术或其他可反查来源的线索。
- 不得让 Agent 自动下单、发布或修改广告。
- 不得把第三方估算、模型推断或单一案例包装成事实。
工作流
1. 拆分任务
把评论聚类、参数对比、关键词归类、专利检索等重复劳动与立项、备货和差异化判断分开。
2. 追问口径
对每个结论追溯数据源、时间窗、站点、样本、直接竞品集合和计算方法；无法追溯的结论不进入决策。
3. 校验竞品
用购买对象、场景、关键属性和价格带定义直接竞品，不能把搜索结果总数当作竞争者数量。
4. 寻找异常值
共性痛点用于基础需求，少数但高价值的特殊场景作为待验证假设；AI 不得自动把低频反馈升级为需求事实。
5. 设置人类闸门
在产品立项、供应商下单、预算、广告和发布前输出证据包、反方解释和待批准事项。
6. 回写经验
将真实结果、失败原因和规则修正回到案例库，持续评估 Agent 的命中率与校准度。
判断标准
- 完整、流畅的报告不等于可靠结论；可验证性优先于表达质量。
- AI 可提出推荐，但最终结论必须包含反证、未知项和人工签字点。
- 低频评论只能成为探索线索，需通过关键词、竞品、访谈或测试交叉验证。
- 自动化质量用后验结果评估，不以执行速度或报告篇幅评估。
第三方 MCP 数据
需要外部关键词、竞品、评论或公开网页证据时，读取 references/mcp-data-plan.md，并使用 scripts/mcp_research.py。
- 先动态执行
tools/list、search-tools和describe，依据实时inputSchema构造参数。 - 凭证只从环境变量读取，不进入参数、URL、Skill、终端输出或 Git。
- 可能计费的
tools/call先展示 Provider、工具、无密钥参数、预计成本与输出位置，核对已有授权；仅在授权覆盖本次范围时使用--allow-cost，该标志不是费用上限。 - 脱敏结果用
--output写入 Skill 包之外的任务私有目录；不假设安装位置受仓库.gitignore保护。第三方数据标为估算或代理证据。 - 失败一次后记录缺口，不以重复付费重试掩盖不可用状态。
必须交付的结果
- 自动化/人工责任矩阵
- 证据血缘表
- 结论反证清单
- 人工审批卡
- Agent 后验评估方案
结尾列出站点、数据窗口、证据来源、关键假设、缺口、风险、下一步和所有待批准动作。证据不足时写 HOLD，不得包装成可直接执行。
执行细节、证据字段和质量检查见 references/playbook.md。
© xjli360, 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 4 other files (scripts, references) in amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-ai-product-research-governance of xjli360/sealeap-amazon-skills.
- SKILL.md
- agents/openai.yaml
- references/mcp-data-plan.md
- references/playbook.md
- scripts/mcp_research.py
Open the folder on GitHubat commit 497d4b8
Compare with similar skills
Sealeap Xiezhi Amazon AI Product Research Governance 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 |
|---|---|---|---|---|---|---|
| Sealeap Xiezhi Amazon AI Product Research Governance this skillxjli360/sealeap-amazon-skills | 251 | — | ~538 | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 4 repos | ~1.2k | Automated safety check: Pass | MIT | |
| MCP Integration for Pluginsanthropics/claude-plugins-official | 38k | 11 repos | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Figma use_figma Plugin API Ruleswarpdotdev/warp | 65k | 4 repos | ~4.4k | Automated safety check: Pass | AGPL-3.0 | |
| Stitch to Remotion Walkthrough Videosgoogle-labs-code/stitch-skills | 8.5k | 6 repos | ~3.2k | Automated safety check: Notes | Apache-2.0 |
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Questions about Sealeap Xiezhi Amazon AI Product Research Governance
What does Sealeap Xiezhi Amazon AI Product Research Governance do?
Govern AI-assisted Amazon product research by separating automatable evidence work from human commercial judgment. Sealeap Xiezhi Amazon AI Product Research Governance is an agent skill from xjli360/sealeap-amazon-skills. Govern AI-assisted Amazon product research by separating automatable evidence work from human commercial judgment.
When should I use Sealeap Xiezhi Amazon AI Product Research Governance?
Sealeap Xiezhi Amazon AI Product Research Governance fits situations like: auditing an AI selection workflow; skill that produces product recommendations.
How do I install Sealeap Xiezhi Amazon AI Product Research Governance in Claude Code?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-ai-product-research-governance -a claude-code`. Or copy the skill folder (amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-ai-product-research-governance in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-xiezhi-amazon-ai-product-research-governance in your project. Claude Code loads it when a task matches its description.
How do I install Sealeap Xiezhi Amazon AI Product Research Governance in Codex?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-ai-product-research-governance -a codex`. Or copy the skill folder (amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-ai-product-research-governance in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-xiezhi-amazon-ai-product-research-governance in your project. Codex loads it when a task matches its description.
Can I use Sealeap Xiezhi Amazon AI Product Research Governance 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 xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-ai-product-research-governance -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sealeap-xiezhi-amazon-ai-product-research-governance, .gemini/skills/sealeap-xiezhi-amazon-ai-product-research-governance, .github/skills/sealeap-xiezhi-amazon-ai-product-research-governance and .opencode/skills/sealeap-xiezhi-amazon-ai-product-research-governance in your project.
What does Sealeap Xiezhi Amazon AI Product Research Governance need to run?
Going by SKILL.md and its folder, Sealeap Xiezhi Amazon AI Product Research Governance needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Sealeap Xiezhi Amazon AI Product Research Governance access the network?
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.
Is Sealeap Xiezhi Amazon AI Product Research Governance 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 Sealeap Xiezhi Amazon AI Product Research Governance use?
Sealeap Xiezhi Amazon AI Product Research Governance 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 Sealeap Xiezhi Amazon AI Product Research Governance use?
About 538 tokens (SKILL.md is roughly 2.2k 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 Sealeap Xiezhi Amazon AI Product Research Governance?
Skills that share tags, products or a category with Sealeap Xiezhi Amazon AI Product Research Governance: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Figma use_figma Plugin API Rules (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sealeap Xiezhi Amazon AI Product Research Governance?
xjli360 (a GitHub user) maintains it in xjli360/sealeap-amazon-skills, which has 251 GitHub stars. The repository holds 179 skills in this directory. The repository was last updated on September 28, 2026.
Source: xjli360/sealeap-amazon-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.