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 Bifang Amazon Ad Rank Conversion Balance
Find the search-result position where an Amazon Sponsored Products keyword converts best per unit cost by logging position, click-through, conversion and bid over time, comparing the listing with…
MITAuto-check passed
Install Sealeap Bifang Amazon Ad Rank Conversion Balance
$ npx skills add xjli360/sealeap-amazon-skills --skill sealeap-bifang-amazon-ad-rank-conversion-balance -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-bifang-amazon-ad-rank-conversion-balance --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/bilibili/bifang/sealeap-bifang-amazon-ad-rank-conversion-balance .claude/skills/sealeap-bifang-amazon-ad-rank-conversion-balance && 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-bifang-amazon-ad-rank-conversion-balance" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/bifang/sealeap-bifang-amazon-ad-rank-conversion-balance into .claude/skills/sealeap-bifang-amazon-ad-rank-conversion-balance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bifang-amazon-ad-rank-conversion-balance", 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/bilibili/bifang/sealeap-bifang-amazon-ad-rank-conversion-balanceType 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-bifang-amazon-ad-rank-conversion-balance -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-bifang-amazon-ad-rank-conversion-balance --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/bilibili/bifang/sealeap-bifang-amazon-ad-rank-conversion-balance .agents/skills/sealeap-bifang-amazon-ad-rank-conversion-balance && 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-bifang-amazon-ad-rank-conversion-balance" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/bifang/sealeap-bifang-amazon-ad-rank-conversion-balance into .agents/skills/sealeap-bifang-amazon-ad-rank-conversion-balance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bifang-amazon-ad-rank-conversion-balance", 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-bifang-amazon-ad-rank-conversion-balance -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-bifang-amazon-ad-rank-conversion-balance --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/bilibili/bifang/sealeap-bifang-amazon-ad-rank-conversion-balance .cursor/skills/sealeap-bifang-amazon-ad-rank-conversion-balance && 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-bifang-amazon-ad-rank-conversion-balance" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/bifang/sealeap-bifang-amazon-ad-rank-conversion-balance into .cursor/skills/sealeap-bifang-amazon-ad-rank-conversion-balance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bifang-amazon-ad-rank-conversion-balance", 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/bilibili/bifang/sealeap-bifang-amazon-ad-rank-conversion-balance--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-bifang-amazon-ad-rank-conversion-balance -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install xjli360/sealeap-amazon-skills sealeap-bifang-amazon-ad-rank-conversion-balance --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/bilibili/bifang/sealeap-bifang-amazon-ad-rank-conversion-balance .gemini/skills/sealeap-bifang-amazon-ad-rank-conversion-balance && 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-bifang-amazon-ad-rank-conversion-balance" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/bifang/sealeap-bifang-amazon-ad-rank-conversion-balance into .gemini/skills/sealeap-bifang-amazon-ad-rank-conversion-balance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bifang-amazon-ad-rank-conversion-balance", 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-bifang-amazon-ad-rank-conversion-balanceInstalls 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-bifang-amazon-ad-rank-conversion-balance -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/bilibili/bifang/sealeap-bifang-amazon-ad-rank-conversion-balance .github/skills/sealeap-bifang-amazon-ad-rank-conversion-balance && 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-bifang-amazon-ad-rank-conversion-balance" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/bifang/sealeap-bifang-amazon-ad-rank-conversion-balance into .github/skills/sealeap-bifang-amazon-ad-rank-conversion-balance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bifang-amazon-ad-rank-conversion-balance", 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-bifang-amazon-ad-rank-conversion-balance -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-bifang-amazon-ad-rank-conversion-balance --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/bilibili/bifang/sealeap-bifang-amazon-ad-rank-conversion-balance .opencode/skills/sealeap-bifang-amazon-ad-rank-conversion-balance && 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-bifang-amazon-ad-rank-conversion-balance" agent skill from https://github.com/xjli360/sealeap-amazon-skills/tree/main/amazon-skills/bilibili/bifang/sealeap-bifang-amazon-ad-rank-conversion-balance into .opencode/skills/sealeap-bifang-amazon-ad-rank-conversion-balance/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sealeap-bifang-amazon-ad-rank-conversion-balance", 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-bifang-amazon-ad-rank-conversion-balance- GitHub stars
- 251
- Token cost
- ~822 tokens
- SKILL.md length
- 172 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 179
- Repo updated
- First seen
- Licence
- MIT
At a glance
Find the search-result position where an Amazon Sponsored Products keyword converts best per unit cost by logging position, click-through, conversion and bid over time, comparing the listing with…
- 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。 → …
- 广告位置越靠前越好吗、卡位怎么设、排名上去转化下降、竞价该加还是减、关键词排名监控、卡位工具参数
- 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 Bifang Amazon Ad Rank Conversion Balance is an agent skill from xjli360/sealeap-amazon-skills. Find the search-result position where an Amazon Sponsored Products keyword converts best per unit cost by logging position, click-through, conversion and bid over time, comparing the listing with its on-page neighbours before pushing rank, and only then configuring rule-based rank holding with a target range, bid step, bid ceiling, decay after success and dayparting, all bounded by profit. Use for 广告位置越靠前越好吗、卡位怎么设、排名上去转化下降、竞价该加还是减、关键词排名监控、卡位工具参数. Do not use to authorise third-party tools on a live account or to…
Its SKILL.md is about 820 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
- 广告位置越靠前越好吗、卡位怎么设、排名上去转化下降、竞价该加还是减、关键词排名监控、卡位工具参数
- Authorise third-party tools on a live account
- Raise bids beyond the profit ceiling without approval
Example prompts
- “/sealeap-bifang-amazon-ad-rank-conversion-balance”
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 Bifang Amazon Ad Rank Conversion Balance loads about 822 tokens when it runs, and up to ~3.3k if it reads all its reference files. Until then it costs about 155 tokens; SKILL.md has 172 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). 172 words, ~822 tokens.
Download SKILL.mdSave it as
.claude/skills/sealeap-bifang-amazon-ad-rank-conversion-balance/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- sealeap-bifang-amazon-ad-rank-conversion-balance
- description
- Find the search-result position where an Amazon Sponsored Products keyword converts best per unit cost by logging position, click-through, conversion and bid over time, comparing the listing with its on-page neighbours before pushing rank, and only then configuring rule-based rank holding with a target range, bid step, bid ceiling, decay after success and dayparting, all bounded by profit. Use for 广告位置越靠前越好吗、卡位怎么设、排名上去转化下降、竞价该加还是减、关键词排名监控、卡位工具参数. Do not use to authorise third-party tools on a live account or to raise bids beyond the profit ceiling without approval.
Amazon 广告位置与转化率平衡卡位
目标
Find the search-result position where an Amazon Sponsored Products keyword converts best per unit cost by logging position, click-through, conversion and bid over time, comparing the listing with its on-page neighbours before pushing rank, and only then configuring rule-based rank holding with a target range, bid step, bid ceiling, decay after success and dayparting, all bounded by profit.
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。
- “多数搜索流量集中在前几页”是来源引用的行业说法，作为假设；对本品有效的位置区间只能靠账户内观测表得出。
- “平台会过滤恶意点击”“展示免费仅点击计费”等是来源对广告系统的描述，以当前官方广告政策与计费说明为准。
- 卡位工具的监控频率、加价步长与词数额度是特定工具的能力，参数与费用随工具变化；把店铺与广告 API 授权给第三方存在数据与权限风险，需先评估。
- “中小卖家先求转化再求排名、不急于品牌化”是来源的经营取向而非规则；按自身目标决定。
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、店铺、ASIN/SKU、广告类型和目标
- 同口径的 Campaign、Targeting、Search Term、Placement 与 Advertised Product 报告
- 售价、优惠、COGS、Amazon 费用、退款与目标贡献利润
- 库存、Buy Box、Listing、评论和同期市场事件
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：
- 准入：确认页面、主图、价格、评论与同页竞品处于可比水平；若明显落后，先优化页面而不是花钱推位置。
- 建立观测表：对每个重点词按固定采样时间记录广告位置（页/位）、曝光、点击率、转化率、CPC 与当时的竞价；至少覆盖一个完整的调整周期，样本不足不做结论。
- 判定位置价值：比较不同位置区间的转化率与单位订单成本，找出转化率高且成本可接受的位置区间；不预设首页顶部最优，前几页内各位置都可能是平衡点。
- 回退规则：位置上升后点击率或转化率下降，说明相邻竞品在价格、图片或评论上更优——先小幅下调竞价回到原区间，同时把差距记入页面优化清单；只有销量与评论积累后再小幅试探更高位置。
- 自动化卡位：在人工验证过平衡区间后，用规则化的排名卡位设置——目标位置区间、每次加价步长、最高竞价上限（由盈亏平衡 ACOS 推导）、卡位成功后的逐步降价比例、按转化时段设定卡位时段；未卡位时段保留末次竞价或固定值。
- 运行监控与停止：按周查看卡位词的位置稳定性、ACOS 与利润；连续触及最高竞价仍未达目标区间、或利润转负时停止该词卡位并回到人工观测；任何第三方工具授权只给必要权限并记录。
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：获取关键词自然位与广告位的排名抓取代理数据。
- 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
- 位置-点击率-转化率-竞价观测表
- 平衡位置区间判定与理由
- 页面差距优化清单
- 卡位规则参数表（目标区间、步长、上限、降价比例、时段）
- 周度监控与停止记录
- 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/bilibili/bifang/sealeap-bifang-amazon-ad-rank-conversion-balance 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 Bifang Amazon Ad Rank Conversion Balance 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 Bifang Amazon Ad Rank Conversion Balance this skillxjli360/sealeap-amazon-skills | 251 | — | ~822 | 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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Builds walkthrough videos from Stitch design projects using Remotion, with transitions, zoom effects and text overlays on each screen.
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A skill your agent uses for Laravel MCP development. An agent skill from coollabsio/coolify.
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Questions about Sealeap Bifang Amazon Ad Rank Conversion Balance
What does Sealeap Bifang Amazon Ad Rank Conversion Balance do?
Find the search-result position where an Amazon Sponsored Products keyword converts best per unit cost by logging position, click-through, conversion and bid over time, comparing the listing with…. Sealeap Bifang Amazon Ad Rank Conversion Balance is an agent skill from xjli360/sealeap-amazon-skills. Find the search-result position where an Amazon Sponsored Products keyword converts best per unit cost by logging position, click-through, conversion and bid over time, comparing the listing with its on-page neighbours before pushing rank, and only then configuring rule-based rank holding with a target range, bid step, bid ceiling, decay after success and dayparting, all bounded by profit.
When should I use Sealeap Bifang Amazon Ad Rank Conversion Balance?
Sealeap Bifang Amazon Ad Rank Conversion Balance fits situations like: 广告位置越靠前越好吗、卡位怎么设、排名上去转化下降、竞价该加还是减、关键词排名监控、卡位工具参数; authorise third-party tools on a live account; raise bids beyond the profit ceiling without approval.
How do I install Sealeap Bifang Amazon Ad Rank Conversion Balance in Claude Code?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-bifang-amazon-ad-rank-conversion-balance -a claude-code`. Or copy the skill folder (amazon-skills/bilibili/bifang/sealeap-bifang-amazon-ad-rank-conversion-balance in xjli360/sealeap-amazon-skills) into .claude/skills/sealeap-bifang-amazon-ad-rank-conversion-balance in your project. Claude Code loads it when a task matches its description.
How do I install Sealeap Bifang Amazon Ad Rank Conversion Balance in Codex?
Run `npx skills add xjli360/sealeap-amazon-skills --skill sealeap-bifang-amazon-ad-rank-conversion-balance -a codex`. Or copy the skill folder (amazon-skills/bilibili/bifang/sealeap-bifang-amazon-ad-rank-conversion-balance in xjli360/sealeap-amazon-skills) into .agents/skills/sealeap-bifang-amazon-ad-rank-conversion-balance in your project. Codex loads it when a task matches its description.
Can I use Sealeap Bifang Amazon Ad Rank Conversion Balance 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-bifang-amazon-ad-rank-conversion-balance -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-bifang-amazon-ad-rank-conversion-balance, .gemini/skills/sealeap-bifang-amazon-ad-rank-conversion-balance, .github/skills/sealeap-bifang-amazon-ad-rank-conversion-balance and .opencode/skills/sealeap-bifang-amazon-ad-rank-conversion-balance in your project.
What does Sealeap Bifang Amazon Ad Rank Conversion Balance need to run?
Going by SKILL.md and its folder, Sealeap Bifang Amazon Ad Rank Conversion Balance needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Sealeap Bifang Amazon Ad Rank Conversion Balance 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 Bifang Amazon Ad Rank Conversion Balance 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 Bifang Amazon Ad Rank Conversion Balance use?
Sealeap Bifang Amazon Ad Rank Conversion Balance 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 Bifang Amazon Ad Rank Conversion Balance use?
About 822 tokens (SKILL.md is roughly 3.3k 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 Bifang Amazon Ad Rank Conversion Balance?
Skills that share tags, products or a category with Sealeap Bifang Amazon Ad Rank Conversion Balance: 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 Bifang Amazon Ad Rank Conversion Balance?
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.