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 Qiongqi Amazon Launch Keyword Intent Groups
Build a launch or relaunch keyword master list for an Amazon product by reverse-searching organically ranked comparable competitors, filtering to a focused core set, and grouping terms by buyer…
MITAuto-check passed
Install Sealeap Qiongqi Amazon Launch Keyword Intent Groups
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-qiongqi-amazon-launch-keyword-intent-groups -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-qiongqi-amazon-launch-keyword-intent-groups --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/youtube/qiongqi/sealeap-qiongqi-amazon-launch-keyword-intent-groups .claude/skills/sealeap-qiongqi-amazon-launch-keyword-intent-groups && 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-qiongqi-amazon-launch-keyword-intent-groups" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/youtube/qiongqi/sealeap-qiongqi-amazon-launch-keyword-intent-groups into .claude/skills/sealeap-qiongqi-amazon-launch-keyword-intent-groups/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-qiongqi-amazon-launch-keyword-intent-groups", 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/youtube/qiongqi/sealeap-qiongqi-amazon-launch-keyword-intent-groupsType 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-qiongqi-amazon-launch-keyword-intent-groups -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-qiongqi-amazon-launch-keyword-intent-groups --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/youtube/qiongqi/sealeap-qiongqi-amazon-launch-keyword-intent-groups .agents/skills/sealeap-qiongqi-amazon-launch-keyword-intent-groups && 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-qiongqi-amazon-launch-keyword-intent-groups" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/youtube/qiongqi/sealeap-qiongqi-amazon-launch-keyword-intent-groups into .agents/skills/sealeap-qiongqi-amazon-launch-keyword-intent-groups/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-qiongqi-amazon-launch-keyword-intent-groups", 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-qiongqi-amazon-launch-keyword-intent-groups -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-qiongqi-amazon-launch-keyword-intent-groups --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/youtube/qiongqi/sealeap-qiongqi-amazon-launch-keyword-intent-groups .cursor/skills/sealeap-qiongqi-amazon-launch-keyword-intent-groups && 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-qiongqi-amazon-launch-keyword-intent-groups" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/youtube/qiongqi/sealeap-qiongqi-amazon-launch-keyword-intent-groups into .cursor/skills/sealeap-qiongqi-amazon-launch-keyword-intent-groups/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-qiongqi-amazon-launch-keyword-intent-groups", 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/youtube/qiongqi/sealeap-qiongqi-amazon-launch-keyword-intent-groups--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-qiongqi-amazon-launch-keyword-intent-groups -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-qiongqi-amazon-launch-keyword-intent-groups --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/youtube/qiongqi/sealeap-qiongqi-amazon-launch-keyword-intent-groups .gemini/skills/sealeap-qiongqi-amazon-launch-keyword-intent-groups && 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-qiongqi-amazon-launch-keyword-intent-groups" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/youtube/qiongqi/sealeap-qiongqi-amazon-launch-keyword-intent-groups into .gemini/skills/sealeap-qiongqi-amazon-launch-keyword-intent-groups/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-qiongqi-amazon-launch-keyword-intent-groups", 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-qiongqi-amazon-launch-keyword-intent-groupsInstalls 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-qiongqi-amazon-launch-keyword-intent-groups -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/youtube/qiongqi/sealeap-qiongqi-amazon-launch-keyword-intent-groups .github/skills/sealeap-qiongqi-amazon-launch-keyword-intent-groups && 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-qiongqi-amazon-launch-keyword-intent-groups" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/youtube/qiongqi/sealeap-qiongqi-amazon-launch-keyword-intent-groups into .github/skills/sealeap-qiongqi-amazon-launch-keyword-intent-groups/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-qiongqi-amazon-launch-keyword-intent-groups", 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-qiongqi-amazon-launch-keyword-intent-groups -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-qiongqi-amazon-launch-keyword-intent-groups --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/youtube/qiongqi/sealeap-qiongqi-amazon-launch-keyword-intent-groups .opencode/skills/sealeap-qiongqi-amazon-launch-keyword-intent-groups && 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-qiongqi-amazon-launch-keyword-intent-groups" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/youtube/qiongqi/sealeap-qiongqi-amazon-launch-keyword-intent-groups into .opencode/skills/sealeap-qiongqi-amazon-launch-keyword-intent-groups/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-qiongqi-amazon-launch-keyword-intent-groups", 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-qiongqi-amazon-launch-keyword-intent-groups- GitHub stars
- 251
- Token cost
- ~726 tokens
- SKILL.md length
- 145 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 179
- Repo updated
- First seen
- Licence
- MIT
At a glance
Build a launch or relaunch keyword master list for an Amazon product by reverse-searching organically ranked comparable competitors, filtering to a focused core set, and grouping terms by buyer…
- Works in 4 steps: 诊断：读取现状、证据和缺口，不生成线上写入动作。 → 方案草案：输出可审核的结构、参数范围、实验和回退值。 → 执行准备：只生成待批准变更表或 API/控制台操作草案。 → …
- 新品关键词调研、关键词怎么分组、关键词太多怎么筛、竞品反查关键词、精确广告分组、广泛广告否定词
- SKILL.md covers 目标, 不可妥协的边界, 先判断任务模式 and 开始前要拿到, plus 3 more sections
- Runs Python scripts from its folder
What it does
Sealeap Qiongqi Amazon Launch Keyword Intent Groups is an agent skill from xjli360/sealeap-amazon-skills. Build a launch or relaunch keyword master list for an Amazon product by reverse-searching organically ranked comparable competitors, filtering to a focused core set, and grouping terms by buyer intent into campaign-ready lists with negations. Use for 新品关键词调研、关键词怎么分组、关键词太多怎么筛、竞品反查关键词、精确广告分组、广泛广告否定词. Do not use for mining an existing product's own search term reports.
Its SKILL.md is about 730 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
- 新品关键词调研、关键词怎么分组、关键词太多怎么筛、竞品反查关键词、精确广告分组、广泛广告否定词
- Mining an existing products own search term reports
Example prompts
- “/sealeap-qiongqi-amazon-launch-keyword-intent-groups”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- 诊断：读取现状、证据和缺口，不生成线上写入动作。
- 方案草案：输出可审核的结构、参数范围、实验和回退值。
- 执行准备：只生成待批准变更表或 API/控制台操作草案。
- 已批准执行：仅对用户在当前会话明确批准的对象和字段执行，并立即回读核验。
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 Qiongqi Amazon Launch Keyword Intent Groups loads about 726 tokens when it runs, and up to ~3.2k if it reads all its reference files. Until then it costs about 105 tokens; SKILL.md has 145 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). 145 words, ~726 tokens.
Download SKILL.mdSave it as
.claude/skills/sealeap-qiongqi-amazon-launch-keyword-intent-groups/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- sealeap-qiongqi-amazon-launch-keyword-intent-groups
- description
- Build a launch or relaunch keyword master list for an Amazon product by reverse-searching organically ranked comparable competitors, filtering to a focused core set, and grouping terms by buyer intent into campaign-ready lists with negations. Use for 新品关键词调研、关键词怎么分组、关键词太多怎么筛、竞品反查关键词、精确广告分组、广泛广告否定词. Do not use for mining an existing product's own search term reports.
Amazon 新品关键词调研与购买意图分组
目标
Build a launch or relaunch keyword master list for an Amazon product by reverse-searching organically ranked comparable competitors, filtering to a focused core set, and grouping terms by buyer intent into campaign-ready lists with negations.
不可妥协的边界
- 当前 Amazon 官方政策、账户资格、站点字段和一方数据优先于本 Skill 的经验框架。
- 第三方数据一律标为估算或前台观测，不得写成 Amazon 一方事实。
- 默认只读诊断和草案；任何广告、Listing、库存、促销或外部系统写操作都需逐项展示并取得明确批准。
- 一次实验只改变一个主要变量，并记录基线、样本、成功、停止和回退条件。
- 不得复制来源材料或竞品表达；输出必须按当前任务重新组织并可由现有证据支撑。
- 『不要预先穷举成千上万长尾词、要给平台留寻找空间』是来源观点，属待验证假设；关键词覆盖过窄时可放宽过滤条件。
- 第三方反查数据为估算，搜索量与排名受采样时间、变体与个性化影响；筛选阈值不是固定规律，以类目数据与样本校准。
- 按意图分组依赖对产品事实的判断，分组错误会污染活动数据；上线后用搜索词报表核对每组实际触发的搜索词。
- 竞品数量与筛选参数为来源经验值，以当前类目的竞争密度校准。
先判断任务模式
- 诊断：读取现状、证据和缺口，不生成线上写入动作。
- 方案草案：输出可审核的结构、参数范围、实验和回退值。
- 执行准备：只生成待批准变更表或 API/控制台操作草案。
- 已批准执行：仅对用户在当前会话明确批准的对象和字段执行，并立即回读核验。
用户未指定时采用“诊断”。
开始前要拿到
- marketplace、产品事实、ASIN/SKU 与目标购买意图
- 本品和可比竞品的关键词、自然位置、广告可见度与采样时间
- 搜索词报告、转化、CPC、订单、利润和 Listing 当前覆盖
- 站点语言、变体、价格、库存与同期促销记录
缺失项必须标为 NEEDS_EVIDENCE；不得猜数字、补属性或把不同站点、ASIN、变体、币种和时间窗混在一起。
工作流
先读取 references/playbook.md，确认该方法适用于当前对象。按以下顺序执行：
- 用主搜索词在目标站点搜索并隐藏赞助位，只看自然排名结果；逐个核对，挑选一组与本品『同类且同价值主张』的靠前竞品（来源经验为个位数到十个左右），排除虽同词但用途或客群不同的产品。
- 用第三方工具反查这组竞品的自然排名关键词，只取自然口径；先看未筛选总量，再设过滤条件：最低搜索量、至少若干个竞品共同排名、竞品排名不超过一定名次，把清单收敛到可管理的核心集合（来源经验为数十到一百多词），阈值按类目数据校准。
- 逐词标注购买意图/语义核心（场景、材质、尺寸、人群、功能等），同一意图归一组；另拆出竞品品牌词、自有品牌词、明确不相关的否定词，以及偏『逛店』意图、适合用 SB 引到品牌旗舰店的词。
- 从核心集合里挑出搜索量最大、相关性最高的少数词做单词活动；每个意图组各建一个精确匹配活动，同组共享目标与预算。
- 广泛匹配活动用同一词表投放，但把已知不相关成分作为词组否定预置进去，给平台留寻找长尾的空间，同时堵住已知浪费。
- 竞价用起始竞价公式（目标 ACOS × 售价 × 转化率）而非默认建议值，策略默认只降低；广告位加成留空或小幅起步；预算先在活动规划表定总日预算再分配到各活动。
- 输出关键词主表与活动结构草案，上线后用搜索词报表回流验证分组假设，把实际触发的搜索词回填到对应意图组。
最后做数据充分性检查，并把结论分成 FACT / ESTIMATE / HYPOTHESIS / UNKNOWN。若关键证据不足，状态写 HOLD。
第三方 MCP 数据
仅在自有数据不足且当前任务确实需要外部证据时，读取 references/mcp-data-plan.md，再使用 scripts/mcp_research.py。本 Skill 的外部取数目的：获取竞品自然排名关键词、搜索量与排名名次的第三方代理数据。
- 先
doctor，再search-tools和describe；工具名及参数以实时tools/list与inputSchema为准。 - Token 只从环境变量读取。不得写入命令参数、URL、Skill、报告、日志或 Git。
tools/call或 Actor 可能计费；先展示 Provider、工具、无密钥业务参数、预计成本与输出位置，核对已有授权覆盖后才加--allow-cost；该标志不是费用上限。
必须交付的结果
- 竞品样本清单
- 关键词主表（按意图分组）
- 否定词与品牌词清单
- 活动结构草案
- 起始竞价与预算分配表
- 数据范围、来源、采集时间、样本与限制。
- 关键假设、待补证据、风险和不可确定项。
- 若有动作：对象、旧值、新值、预期、停止条件、回退值与审批状态。
方案状态使用 READY FOR REVIEW / DRAFT / HOLD / STOP；如已执行，另行记录实际结果及回读证据。未得到明确批准时，不得声称已修改线上对象。
© 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/youtube/qiongqi/sealeap-qiongqi-amazon-launch-keyword-intent-groups 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 Qiongqi Amazon Launch Keyword Intent Groups 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 Qiongqi Amazon Launch Keyword Intent Groups this skillxjli360/sealeap-amazon-skills | 251 | — | ~726 | Automated safety check: Pass | MIT | |
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| 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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MCP Development
coollabsio/coolify
A skill your agent uses for Laravel MCP development. An agent skill from coollabsio/coolify.
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Questions about Sealeap Qiongqi Amazon Launch Keyword Intent Groups
What does Sealeap Qiongqi Amazon Launch Keyword Intent Groups do?
Build a launch or relaunch keyword master list for an Amazon product by reverse-searching organically ranked comparable competitors, filtering to a focused core set, and grouping terms by buyer…. Sealeap Qiongqi Amazon Launch Keyword Intent Groups is an agent skill from xjli360/sealeap-amazon-skills. Build a launch or relaunch keyword master list for an Amazon product by reverse-searching organically ranked comparable competitors, filtering to a focused core set, and grouping terms by buyer intent into campaign-ready lists with negations.
When should I use Sealeap Qiongqi Amazon Launch Keyword Intent Groups?
Sealeap Qiongqi Amazon Launch Keyword Intent Groups fits situations like: 新品关键词调研、关键词怎么分组、关键词太多怎么筛、竞品反查关键词、精确广告分组、广泛广告否定词; mining an existing products own search term reports.
How do I install Sealeap Qiongqi Amazon Launch Keyword Intent Groups in Claude Code?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-qiongqi-amazon-launch-keyword-intent-groups -a claude-code`. Or copy the skill folder (amazon-skills/youtube/qiongqi/sealeap-qiongqi-amazon-launch-keyword-intent-groups in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-qiongqi-amazon-launch-keyword-intent-groups in your project. Claude Code loads it when a task matches its description.
How do I install Sealeap Qiongqi Amazon Launch Keyword Intent Groups in Codex?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-qiongqi-amazon-launch-keyword-intent-groups -a codex`. Or copy the skill folder (amazon-skills/youtube/qiongqi/sealeap-qiongqi-amazon-launch-keyword-intent-groups in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-qiongqi-amazon-launch-keyword-intent-groups in your project. Codex loads it when a task matches its description.
Can I use Sealeap Qiongqi Amazon Launch Keyword Intent Groups 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-qiongqi-amazon-launch-keyword-intent-groups -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-qiongqi-amazon-launch-keyword-intent-groups, .gemini/skills/sealeap-qiongqi-amazon-launch-keyword-intent-groups, .github/skills/sealeap-qiongqi-amazon-launch-keyword-intent-groups and .opencode/skills/sealeap-qiongqi-amazon-launch-keyword-intent-groups in your project.
What does Sealeap Qiongqi Amazon Launch Keyword Intent Groups need to run?
Going by SKILL.md and its folder, Sealeap Qiongqi Amazon Launch Keyword Intent Groups needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Sealeap Qiongqi Amazon Launch Keyword Intent Groups 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 Qiongqi Amazon Launch Keyword Intent Groups 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 Qiongqi Amazon Launch Keyword Intent Groups use?
Sealeap Qiongqi Amazon Launch Keyword Intent Groups 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 Qiongqi Amazon Launch Keyword Intent Groups use?
About 726 tokens (SKILL.md is roughly 2.9k 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 2.5k tokens, read only when the agent opens those files.
What are the alternatives to Sealeap Qiongqi Amazon Launch Keyword Intent Groups?
Skills that share tags, products or a category with Sealeap Qiongqi Amazon Launch Keyword Intent Groups: 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 Qiongqi Amazon Launch Keyword Intent Groups?
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.