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 Evergreen Variation Roadmap
Plan compliant Amazon variation expansion or diagnose changes in shared reviews, ratings and review counts.
MITAuto-check passed
Install Sealeap Xiezhi Amazon Evergreen Variation Roadmap
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-evergreen-variation-roadmap -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-xiezhi-amazon-evergreen-variation-roadmap --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-evergreen-variation-roadmap .claude/skills/sealeap-xiezhi-amazon-evergreen-variation-roadmap && 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-evergreen-variation-roadmap" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-evergreen-variation-roadmap into .claude/skills/sealeap-xiezhi-amazon-evergreen-variation-roadmap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-xiezhi-amazon-evergreen-variation-roadmap", 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-evergreen-variation-roadmapType 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-evergreen-variation-roadmap -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-xiezhi-amazon-evergreen-variation-roadmap --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-evergreen-variation-roadmap .agents/skills/sealeap-xiezhi-amazon-evergreen-variation-roadmap && 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-evergreen-variation-roadmap" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-evergreen-variation-roadmap into .agents/skills/sealeap-xiezhi-amazon-evergreen-variation-roadmap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-xiezhi-amazon-evergreen-variation-roadmap", 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-evergreen-variation-roadmap -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-xiezhi-amazon-evergreen-variation-roadmap --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-evergreen-variation-roadmap .cursor/skills/sealeap-xiezhi-amazon-evergreen-variation-roadmap && 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-evergreen-variation-roadmap" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-evergreen-variation-roadmap into .cursor/skills/sealeap-xiezhi-amazon-evergreen-variation-roadmap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-xiezhi-amazon-evergreen-variation-roadmap", 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-evergreen-variation-roadmap--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-evergreen-variation-roadmap -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-xiezhi-amazon-evergreen-variation-roadmap --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-evergreen-variation-roadmap .gemini/skills/sealeap-xiezhi-amazon-evergreen-variation-roadmap && 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-evergreen-variation-roadmap" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-evergreen-variation-roadmap into .gemini/skills/sealeap-xiezhi-amazon-evergreen-variation-roadmap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-xiezhi-amazon-evergreen-variation-roadmap", 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-evergreen-variation-roadmapInstalls 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-evergreen-variation-roadmap -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-evergreen-variation-roadmap .github/skills/sealeap-xiezhi-amazon-evergreen-variation-roadmap && 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-evergreen-variation-roadmap" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-evergreen-variation-roadmap into .github/skills/sealeap-xiezhi-amazon-evergreen-variation-roadmap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-xiezhi-amazon-evergreen-variation-roadmap", 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-evergreen-variation-roadmap -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-evergreen-variation-roadmap --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-evergreen-variation-roadmap .opencode/skills/sealeap-xiezhi-amazon-evergreen-variation-roadmap && 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-evergreen-variation-roadmap" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-evergreen-variation-roadmap into .opencode/skills/sealeap-xiezhi-amazon-evergreen-variation-roadmap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-xiezhi-amazon-evergreen-variation-roadmap", 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-evergreen-variation-roadmap- GitHub stars
- 251
- Token cost
- ~562 tokens
- SKILL.md length
- 103 words
- Files
- 6 (incl. scripts, references)
- Skills in repo
- 179
- Repo updated
- First seen
- Licence
- MIT
At a glance
Plan compliant Amazon variation expansion or diagnose changes in shared reviews, ratings and review counts.
- Works in 6 steps: 验证结构资格 → 建立元素雷达 → 逐子体验证 → …
- 长期变体规划、评论共享资格、变体评论骤降 and 子体评分变化
- SKILL.md covers 先选任务模式, 目标, 适用任务 and 开始前要拿到, plus 5 more sections
- Runs Python scripts from its folder
What it does
Sealeap Xiezhi Amazon Evergreen Variation Roadmap is an agent skill from xjli360/sealeap-amazon-skills. Plan compliant Amazon variation expansion or diagnose changes in shared reviews, ratings and review counts. Use for 长期变体规划、评论共享资格、变体评论骤降 and 子体评分变化. Check current product-type themes and functional differences separately; never merge unrelated products or remove variations to manipulate reviews.
Its SKILL.md is about 560 tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 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
- 长期变体规划、评论共享资格、变体评论骤降 and 子体评分变化
Example prompts
- “/sealeap-xiezhi-amazon-evergreen-variation-roadmap”
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 Evergreen Variation Roadmap loads about 562 tokens when it runs, and up to ~3.4k if it reads all its reference files. Until then it costs about 87 tokens; SKILL.md has 103 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). 103 words, ~562 tokens.
Download SKILL.mdSave it as
.claude/skills/sealeap-xiezhi-amazon-evergreen-variation-roadmap/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.- name
- sealeap-xiezhi-amazon-evergreen-variation-roadmap
- description
- Plan compliant Amazon variation expansion or diagnose changes in shared reviews, ratings and review counts. Use for 长期变体规划、评论共享资格、变体评论骤降 and 子体评分变化. Check current product-type themes and functional differences separately; never merge unrelated products or remove variations to manipulate reviews.
Amazon 长期变体路线图
先选任务模式
- 扩展规划：执行下方路线图。
- 评论变化诊断：先读 评论共享核对，只交付子体资格、前后证据和修复草稿，不展开年度扩品。
目标
通过真实、合规且有独立需求的子体持续扩展产品线，同时把每个变体当作独立经济单元管理。
适用任务
- 判断产品是否适合长期加变体。
- 规划主题/图案/颜色的年度扩展。
- 为每个子体设计独立关键词、库存与广告。
开始前要拿到
- 当前 product type 与实时允许的 variation theme。
- 每个候选子体的真实属性、图片、SKU、库存和 GTIN 状态。
- 主题/元素的需求、关键词、IP 与季节证据。
- 父体及子体的销量、评论、退货和广告表现。
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。
- 禁止虚假、占位、重复或不相关子体。
- 禁止通过拆分、合并或移除子体规避差评、共享不相关评论或操纵排名。
工作流
1. 验证结构资格
确认产品本质相同且差异完全符合当前类目允许主题；不符合则使用独立 Listing。
2. 建立元素雷达
从季节、活动、风格、图案、颜色和人群需求形成候选，但先做文化与 IP 筛查。
3. 逐子体验证
为每个子体单独核验精准词、竞品、价格、成本、需求和可达销量。
4. 制定发布节奏
按供应链小批能力和需求窗口排序，一次发布有限数量并设置停止条件。
5. 独立经营
每个子体维护准确图片、属性、库存和适用广告；按真实表现补货或停产。
6. 父体健康审计
监控共享体验、评分、退货和选择复杂度；不通过拆并子体操纵评论或排名。
判断标准
- 一个父体真正贡献流量的子体可能有限，不能因共享关系无限扩张。
- 可小批定制和低换款成本是适用条件，但仍需验证每个子体需求。
- 历史评论共享只在合法真实变体关系下发生，不能作为设计变体的目的。
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
- 变体资格矩阵
- 元素/主题雷达
- 子体商业卡
- 发布与淘汰路线图
- 父体健康监控
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 5 other files (scripts, references) in amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-evergreen-variation-roadmap of xjli360/sealeap-amazon-skills.
- SKILL.md
- agents/openai.yaml
- references/mcp-data-plan.md
- references/playbook.md
- references/review-sharing-audit.md
- scripts/mcp_research.py
Open the folder on GitHubat commit 497d4b8
Compare with similar skills
Sealeap Xiezhi Amazon Evergreen Variation Roadmap 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 Evergreen Variation Roadmap this skillxjli360/sealeap-amazon-skills | 251 | — | ~562 | 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 Evergreen Variation Roadmap
What does Sealeap Xiezhi Amazon Evergreen Variation Roadmap do?
Plan compliant Amazon variation expansion or diagnose changes in shared reviews, ratings and review counts. Sealeap Xiezhi Amazon Evergreen Variation Roadmap is an agent skill from xjli360/sealeap-amazon-skills. Plan compliant Amazon variation expansion or diagnose changes in shared reviews, ratings and review counts.
When should I use Sealeap Xiezhi Amazon Evergreen Variation Roadmap?
Sealeap Xiezhi Amazon Evergreen Variation Roadmap fits situations like: 长期变体规划、评论共享资格、变体评论骤降 and 子体评分变化.
How do I install Sealeap Xiezhi Amazon Evergreen Variation Roadmap in Claude Code?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-evergreen-variation-roadmap -a claude-code`. Or copy the skill folder (amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-evergreen-variation-roadmap in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-xiezhi-amazon-evergreen-variation-roadmap in your project. Claude Code loads it when a task matches its description.
How do I install Sealeap Xiezhi Amazon Evergreen Variation Roadmap in Codex?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-evergreen-variation-roadmap -a codex`. Or copy the skill folder (amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-evergreen-variation-roadmap in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-xiezhi-amazon-evergreen-variation-roadmap in your project. Codex loads it when a task matches its description.
Can I use Sealeap Xiezhi Amazon Evergreen Variation Roadmap 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-evergreen-variation-roadmap -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-evergreen-variation-roadmap, .gemini/skills/sealeap-xiezhi-amazon-evergreen-variation-roadmap, .github/skills/sealeap-xiezhi-amazon-evergreen-variation-roadmap and .opencode/skills/sealeap-xiezhi-amazon-evergreen-variation-roadmap in your project.
What does Sealeap Xiezhi Amazon Evergreen Variation Roadmap need to run?
Going by SKILL.md and its folder, Sealeap Xiezhi Amazon Evergreen Variation Roadmap needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Sealeap Xiezhi Amazon Evergreen Variation Roadmap 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 Evergreen Variation Roadmap 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 Evergreen Variation Roadmap use?
Sealeap Xiezhi Amazon Evergreen Variation Roadmap 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 Evergreen Variation Roadmap use?
About 562 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 2.8k tokens, read only when the agent opens those files.
What are the alternatives to Sealeap Xiezhi Amazon Evergreen Variation Roadmap?
Skills that share tags, products or a category with Sealeap Xiezhi Amazon Evergreen Variation Roadmap: 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 Evergreen Variation Roadmap?
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.