Evaluate Skill
every-app/open-seo
Test a candidate OpenSEO skill end to end by running fresh, isolated Codex sessions against the local backend and scoring the reports they save.
Agent skill
Sealeap Xiezhi Amazon Cross Category Attribute Keyword Research
Use material, feature, audience, occasion, style, and scenario keywords to discover Amazon opportunities across categories.
Install Sealeap Xiezhi Amazon Cross Category Attribute Keyword Research
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-cross-category-attribute-keyword-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-xiezhi-amazon-cross-category-attribute-keyword-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/xjli360/sealeap-amazon-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-cross-category-attribute-keyword-research .claude/skills/sealeap-xiezhi-amazon-cross-category-attribute-keyword-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 "sealeap-xiezhi-amazon-cross-category-attribute-keyword-research" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-cross-category-attribute-keyword-research into .claude/skills/sealeap-xiezhi-amazon-cross-category-attribute-keyword-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-xiezhi-amazon-cross-category-attribute-keyword-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/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-cross-category-attribute-keyword-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 xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-cross-category-attribute-keyword-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-xiezhi-amazon-cross-category-attribute-keyword-research --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-cross-category-attribute-keyword-research .agents/skills/sealeap-xiezhi-amazon-cross-category-attribute-keyword-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 "sealeap-xiezhi-amazon-cross-category-attribute-keyword-research" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-cross-category-attribute-keyword-research into .agents/skills/sealeap-xiezhi-amazon-cross-category-attribute-keyword-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-xiezhi-amazon-cross-category-attribute-keyword-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 xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-cross-category-attribute-keyword-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-xiezhi-amazon-cross-category-attribute-keyword-research --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-cross-category-attribute-keyword-research .cursor/skills/sealeap-xiezhi-amazon-cross-category-attribute-keyword-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 "sealeap-xiezhi-amazon-cross-category-attribute-keyword-research" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-cross-category-attribute-keyword-research into .cursor/skills/sealeap-xiezhi-amazon-cross-category-attribute-keyword-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-xiezhi-amazon-cross-category-attribute-keyword-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/xjli360/sealeap-amazon-skills.git --path amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-cross-category-attribute-keyword-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 xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-cross-category-attribute-keyword-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-xiezhi-amazon-cross-category-attribute-keyword-research --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-cross-category-attribute-keyword-research .gemini/skills/sealeap-xiezhi-amazon-cross-category-attribute-keyword-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 "sealeap-xiezhi-amazon-cross-category-attribute-keyword-research" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-cross-category-attribute-keyword-research into .gemini/skills/sealeap-xiezhi-amazon-cross-category-attribute-keyword-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-xiezhi-amazon-cross-category-attribute-keyword-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 xjli360/sealeap-amazon-skills sealeap-xiezhi-amazon-cross-category-attribute-keyword-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 xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-cross-category-attribute-keyword-research -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-cross-category-attribute-keyword-research .github/skills/sealeap-xiezhi-amazon-cross-category-attribute-keyword-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 "sealeap-xiezhi-amazon-cross-category-attribute-keyword-research" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-cross-category-attribute-keyword-research into .github/skills/sealeap-xiezhi-amazon-cross-category-attribute-keyword-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-xiezhi-amazon-cross-category-attribute-keyword-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 xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-cross-category-attribute-keyword-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 xjli360/sealeap-amazon-skills sealeap-xiezhi-amazon-cross-category-attribute-keyword-research --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-cross-category-attribute-keyword-research .opencode/skills/sealeap-xiezhi-amazon-cross-category-attribute-keyword-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 "sealeap-xiezhi-amazon-cross-category-attribute-keyword-research" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-cross-category-attribute-keyword-research into .opencode/skills/sealeap-xiezhi-amazon-cross-category-attribute-keyword-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-xiezhi-amazon-cross-category-attribute-keyword-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
sealeap-xiezhi-amazon-cross-category-attribute-keyword-research- GitHub stars
- 251
- Token cost
- ~504 tokens
- SKILL.md length
- 91 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 179
- Repo updated
- First seen
- Licence
- MIT
At a glance
Use material, feature, audience, occasion, style, and scenario keywords to discover Amazon opportunities across categories.
- Works in 5 steps: 定义通用词 → 全站发现 → 应用经济筛选 → …
- Category-first filters are too narrow
- 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 Cross Category Attribute Keyword Research is an agent skill from xjli360/sealeap-amazon-skills. Use material, feature, audience, occasion, style, and scenario keywords to discover Amazon opportunities across categories. Use when category-first filters are too narrow or the team wants to reuse a supply capability across multiple demand contexts.
Its SKILL.md is about 500 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 sits in Marketing & SEO, covering Keyword research. 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
- Category-first filters are too narrow
- The team wants to reuse a supply capability across multiple demand contexts
Example prompts
- “/sealeap-xiezhi-amazon-cross-category-attribute-keyword-research”
Requirements
- Python 3
Workflow steps
5 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 Cross Category Attribute Keyword Research loads about 504 tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 79 tokens; SKILL.md has 91 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). 91 words, ~504 tokens.
Download SKILL.mdSave it as
.claude/skills/sealeap-xiezhi-amazon-cross-category-attribute-keyword-research/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-cross-category-attribute-keyword-research
- description
- Use material, feature, audience, occasion, style, and scenario keywords to discover Amazon opportunities across categories. Use when category-first filters are too narrow or the team wants to reuse a supply capability across multiple demand contexts.
Amazon 跨类目通用词选品
目标
以消费者可搜索的通用属性为入口跨类目发现需求，再用盈利与竞争门槛收敛，而不是依赖一套固定参数。
适用任务
- 用材质、工艺、元素或场景词跨类目找产品。
- 把一个供应链能力映射到多个细分需求。
- 从大结果集中筛出低评论可盈利方向。
开始前要拿到
- 一个经过本地化验证的通用词。
- 全站点包含该词的商品、类目、价格、评论和销量数据。
- 目标利润、广告成本和进场时间。
- 供应链可做材质、工艺、图案和数量范围。
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。
- 热点元素、角色、图案、文字和品牌词必须先做 IP 核查。
- 词出现在标题中不等于需求成立，仍要验证搜索意图。
工作流
1. 定义通用词
从材质、工艺、属性、主题、人群、场景、节日或活动中选择能跨产品复用的搜索表达。
2. 全站发现
不预设单一类目，检索包含该词的商品并按产品形态与需求场景聚类。
3. 应用经济筛选
再以评论、价格、历史月份、预计利润和旺季窗口缩小范围，保留不同阈值结果。
4. 验证精准性
逐簇检查词与商品是否高度相关、是否存在真实直接竞品及正常低评论样本。
5. 进入立项
对候选补齐 CPC/CVR、差异化、供应链、IP、合规和库存证据。
判断标准
- 固定参数会限制视野；先用通用词发现，再根据产品经济和风险收敛。
- 评论不超过约 50、售价不低于约 25 等只可作探索起点。
- 跨类目复用的是能力和需求语言，不是直接复制产品。
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
- 通用词定义卡
- 跨类目商品聚类
- 筛选敏感性表
- 精准需求验证
- 立项候选清单
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-cross-category-attribute-keyword-research 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 Cross Category Attribute Keyword 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 |
|---|---|---|---|---|---|---|
| Sealeap Xiezhi Amazon Cross Category Attribute Keyword Research this skillxjli360/sealeap-amazon-skills | 251 | — | ~504 | Automated safety check: Pass | MIT | |
| Evaluate Skillevery-app/open-seo | 23k | — | ~1.8k | Automated safety check: Notes | MIT | |
| SEO DataforseoAgriciDaniel/codex-seo | 799 | 2 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Competitor GapRyze-AI-Adgent/open-seo-mcp-skills | 4.7k | — | ~560 | Automated safety check: Pass | MIT | |
| 90 Day SEO SprintBomx/distribb-skill | 197 | — | ~3.6k | Automated safety check: Pass | None | |
| Keyword ResearchRyze-AI-Adgent/open-seo-mcp-skills | 4.7k | — | ~581 | Automated safety check: Pass | MIT |
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Questions about Sealeap Xiezhi Amazon Cross Category Attribute Keyword Research
What does Sealeap Xiezhi Amazon Cross Category Attribute Keyword Research do?
Use material, feature, audience, occasion, style, and scenario keywords to discover Amazon opportunities across categories. Sealeap Xiezhi Amazon Cross Category Attribute Keyword Research is an agent skill from xjli360/sealeap-amazon-skills. Use material, feature, audience, occasion, style, and scenario keywords to discover Amazon opportunities across categories.
When should I use Sealeap Xiezhi Amazon Cross Category Attribute Keyword Research?
Sealeap Xiezhi Amazon Cross Category Attribute Keyword Research fits situations like: category-first filters are too narrow; the team wants to reuse a supply capability across multiple demand contexts.
How do I install Sealeap Xiezhi Amazon Cross Category Attribute Keyword Research in Claude Code?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-cross-category-attribute-keyword-research -a claude-code`. Or copy the skill folder (amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-cross-category-attribute-keyword-research in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-xiezhi-amazon-cross-category-attribute-keyword-research in your project. Claude Code loads it when a task matches its description.
How do I install Sealeap Xiezhi Amazon Cross Category Attribute Keyword Research in Codex?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-cross-category-attribute-keyword-research -a codex`. Or copy the skill folder (amazon-skills/douyin/xiezhi/sealeap-xiezhi-amazon-cross-category-attribute-keyword-research in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-xiezhi-amazon-cross-category-attribute-keyword-research in your project. Codex loads it when a task matches its description.
Can I use Sealeap Xiezhi Amazon Cross Category Attribute Keyword 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 xjli360/sealeap-amazon-skills --skill sealeap-xiezhi-amazon-cross-category-attribute-keyword-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/sealeap-xiezhi-amazon-cross-category-attribute-keyword-research, .gemini/skills/sealeap-xiezhi-amazon-cross-category-attribute-keyword-research, .github/skills/sealeap-xiezhi-amazon-cross-category-attribute-keyword-research and .opencode/skills/sealeap-xiezhi-amazon-cross-category-attribute-keyword-research in your project.
What does Sealeap Xiezhi Amazon Cross Category Attribute Keyword Research need to run?
Going by SKILL.md and its folder, Sealeap Xiezhi Amazon Cross Category Attribute Keyword Research needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Sealeap Xiezhi Amazon Cross Category Attribute Keyword Research 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 Cross Category Attribute Keyword 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 Sealeap Xiezhi Amazon Cross Category Attribute Keyword Research use?
Sealeap Xiezhi Amazon Cross Category Attribute Keyword Research 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 Cross Category Attribute Keyword Research use?
About 504 tokens (SKILL.md is roughly 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 Cross Category Attribute Keyword Research?
Skills that share tags, products or a category with Sealeap Xiezhi Amazon Cross Category Attribute Keyword Research: Evaluate Skill (every-app/open-seo, 23k stars), SEO Dataforseo (AgriciDaniel/codex-seo, 799 stars), Competitor Gap (Ryze-AI-Adgent/open-seo-mcp-skills, 4.7k stars) and 90 Day SEO Sprint (Bomx/distribb-skill, 197 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 Cross Category Attribute Keyword Research?
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.