Blog 3p Platform Matching

Organization

flaqai

blog-3p-platform-matching

在用户提供的平台候选范围内，只读研究语言、市场与内容格式适配，并提交可追溯的平台/账号匹配建议供用户确认。用于人工发布内容项目的写前平台匹配；不选择、注册、登录或发布。

Overview

Publisher	flaqai
Repository	`backlink_skills`
Skill name	`blog-3p-platform-matching`
Stars	760
Forks	237
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by flaqai on GitHub. Read the source before you install it.

Installation

Install the Blog 3p Platform Matching AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/flaqai/backlink_skills/tree/main/blog-3p-skill-matrix/skills/blog-3p-platform-matching
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/flaqai/backlink_skills/tree/main/blog-3p-skill-matrix/skills/blog-3p-platform-matching

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/flaqai/backlink_skills.git /tmp/backlink_skills
mkdir -p .claude/skills
cp -r /tmp/backlink_skills/blog-3p-skill-matrix/skills/blog-3p-platform-matching .claude/skills/blog-3p-platform-matching

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Blog 3p Platform Matching 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 Blog 3p Platform Matching 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 Blog 3p Platform Matching 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.

博客 3P：平台匹配调研

先阅读术语约定。这是内容项目写前阶段唯一允许的可见子角色例外。当前 schema 2.14 的每篇文章都必须在 WQ/WR 派发前取得用户确认的人工发布平台/账号映射；本技能只研究用户已提供的 XLSX、表格或消息中出现的平台/账号候选，输出建议和不确定性；不创建文章交付目录、不写文章，不启动 WQ/WR，不注册/登录，不处理验证码，也不操作编辑器。

输入与边界

读取用户原始候选资料及其哈希、精确行/单元格/消息定位，冻结的文章语言、市场、内容类型和人工发布要求。
公开平台页面、政策、格式说明、语言支持、公开样本和历史证据只能说明可承接性；它们不能自行创建候选、账号映射或允许范围。
每个建议都必须保持“该文章 + 该平台 + 该账号”的一对一关系；不复用平台名或平台/账号组合，也不把已验证账号当成通用平台池。
对每篇候选明确分开两层证据：primary_reader_languages / primary_reader_markets 与其公开受众证据，和 transport_supported_content_languages 与其编辑器或格式传递证据。能显示、保存或阅读英语只属于后者，不能证明英语或全球英语是该平台的主读者受众。
已观察到的发布问题只能作为同一平台、同一账号、同类交接的传输风险问题，必须记录观察日期与读者页/编辑器面；它们不能替代读者语言、市场、需求、审核原因或账号授权证据。无同账号观察时，保持 UNVERIFIED，不要把其他账号或旧文章的结果外推为平台能力。
若文章语言或市场不匹配候选平台的主读者，提案只能标成需逐篇确认的 CROSS_LANGUAGE_EXCEPTION_OWNER_CONFIRMED，不能把它写成普通 COMPATIBLE。匹配子角色不能自行批准例外。
无法证明时写 UNVERIFIED 和风险，不臆造“热门”“支持”或登录/发布能力。任何付费、账号、政策、语言或格式疑点都清楚标出给用户决定。

输出

写入 evidence/platform-matching/platform-matching-report.md 和 platform-matching-proposal.json。对每篇文章说明：用户来源定位、候选平台/账号、文章语言/市场、主读者语言/市场及其证据、可观察到的传递语言支持及其证据、fit_mode、格式/人工传递适配、证据 URL/日期、限制、不确定性和建议。提案必须可追溯，却不能声明已冻结或已获授权。平台样本/画像最多帮助决定技术深度、语气、示例类型和交付形式；不能作为主关键词、自然变体、搜索意图、当地需求、热门度或选题成立的证据。

G 只检查来源和一对一结构，再向用户展示。只有用户把每一个 {platform, account} 明确确认到 owner-platform-selection.json，让 platform_scope.allowed_pairs 成为其机械投影，并为每篇填入兼容的语言－平台记录后，文章协作组才可启动。缺候选、无可靠建议或用户未确认时，结果为 OWNER_DECISION_REQUIRED；不得替用户选、换、补或扩展平台范围。历史 schema 2.8 可供读取或校验，但不能绕过当前人工发布映射要求。

按需读取平台选择契约的来源与确认条款；只有匹配平台存在实质读者传递风险时，才读取平台样本画像的相关段落。机器字段、JSON 键、状态码和路径保持不变。

Frequently asked questions

What does the Blog 3p Platform Matching AI skill do?

Why use Blog 3p Platform Matching on TypingMind?

Because you install it once and use it with any model. Blog 3p Platform Matching 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 Blog 3p Platform Matching in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/flaqai/backlink_skills/tree/main/blog-3p-skill-matrix/skills/blog-3p-platform-matching. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Blog 3p Platform Matching?

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 Blog 3p Platform Matching?

As many as you like. As long as a model supports skills, you can use Blog 3p Platform Matching with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Blog 3p Platform Matching AI skill free?

Yes. It is published on GitHub by flaqai 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

博客 3P：平台匹配调研

输入与边界

输出

Frequently asked questions

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