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Sealeap Mercadolibre Roas Budget Experiment

Community
xjli360
sealeap-mercadolibre-roas-budget-experiment

美客多目标 ROAS 与预算试验。用于目标ROAS、预算调整和扩量/保利润的受控试验;不把目标值视为实际收益或单日绝对限额。

Overview

Publisherxjli360
Repositorysealeap-ecommerce-skills
Skill namesealeap-mercadolibre-roas-budget-experiment
Stars
114
Forks
25
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by xjli360 on GitHub. Read the source before you install it.

Installation

Install the Sealeap Mercadolibre Roas Budget Experiment AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/xjli360/sealeap-ecommerce-skills/tree/main/sealeap-amazon-skills/mercadolibre/sealeap-mercadolibre-roas-budget-experiment
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/xjli360/sealeap-ecommerce-skills.git /tmp/sealeap-ecommerce-skills
mkdir -p .claude/skills
cp -r /tmp/sealeap-ecommerce-skills/sealeap-amazon-skills/mercadolibre/sealeap-mercadolibre-roas-budget-experiment .claude/skills/sealeap-mercadolibre-roas-budget-experiment
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sealeap Mercadolibre Roas Budget Experiment in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Sealeap Mercadolibre Roas Budget Experiment on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Sealeap Mercadolibre Roas Budget Experiment is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

美客多目标 ROAS 与预算试验

任务与输入

  • 同口径成本、归因收入、订单与贡献,区分当前目标和实绩。
  • 广告主/站点、活动/组、实际允许目标范围、平均日预算及账期消耗。
  • 库存、变价/活动记录、可接受损失和试验授权。

先固定国家站、经营/物流模式、币种和观察日期。将事实、估算、假设与未知分开;缺关键资料时完成可确定部分,把受影响的判断留待补证。

工作流程

  1. 先算可承受广告成本及理论盈亏平衡回报,核费用和归因范围;缺成本不推荐精确目标。
  2. 解释目标ROAS上调可能收紧竞争、下调可能增加支出的方向,不保证一定扩量或盈利。
  3. 一次改变主要变量,列出观察窗口、累计花费边界、停止条件和混杂因素;平均日预算与单日/账期实际消耗分别控制。
  4. 观察数据成熟后对照贡献、订单和库存,保留不足以判断的结果;执行后的回读和恢复条件写入记录。

交付

交付目标与预算试验单、亏损边界、监控项和可回退的调整方案。

遇到条件分支、字段设计和误判场景时读操作手册;核查来源实际支持范围和当期规则时读证据与规则。

执行范围

本包的流程、模板和算例为 M(模型综合),不表示已接入美客多或验证经营收益。只执行用户已授权的动作,已有授权不重复索取;变更需明确对象、前后值、实际能力与回读办法。工具不可用时交付方案和输入需求,不伪造已生效结果。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Sealeap Mercadolibre Roas Budget Experiment AI skill do?

美客多目标 ROAS 与预算试验。用于目标ROAS、预算调整和扩量/保利润的受控试验;不把目标值视为实际收益或单日绝对限额。

Why use Sealeap Mercadolibre Roas Budget Experiment on TypingMind?

Because you install it once and use it with any model. Sealeap Mercadolibre Roas Budget Experiment is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Sealeap Mercadolibre Roas Budget Experiment in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/xjli360/sealeap-ecommerce-skills/tree/main/sealeap-amazon-skills/mercadolibre/sealeap-mercadolibre-roas-budget-experiment. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Sealeap Mercadolibre Roas Budget Experiment?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Sealeap Mercadolibre Roas Budget Experiment?

As many as you like. As long as a model supports skills, you can use Sealeap Mercadolibre Roas Budget Experiment with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Sealeap Mercadolibre Roas Budget Experiment AI skill free?

Yes. It is published on GitHub by xjli360 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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