Bestblogs Explain logo

Bestblogs Explain

CommunityPopular
ginobefun
bestblogs-explain

Use this skill when the user wants to understand the "why" behind BestBlogs recommendations — view their interest profile summary, see which followed sources are driving their daily brief, or inspect the score breakdown of a specific resource. Triggers include "BestBlogs 为什么推这条 / 看我的画像 / 我关注的源哪些最有价值 / 这篇文章评分多少", "why did BestBlogs recommend this", "which of my followed sources contribute most", "show score for this resource". Invokes the `bestblogs` CLI.

Overview

Publisherginobefun
RepositoryBestBlogs
Skill namebestblogs-explain
Stars
4K
Forks
363
Bundled files
Instructions only
Links
Skill sourceRepositoryHomepage
  • 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 ginobefun on GitHub. Read the source before you install it.

Installation

Install the Bestblogs Explain 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.
  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/ginobefun/BestBlogs.git /tmp/BestBlogs
mkdir -p .claude/skills
cp -r /tmp/BestBlogs/skills/bestblogs-explain .claude/skills/bestblogs-explain
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Bestblogs Explain 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 Bestblogs Explain 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 Bestblogs Explain 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.

bestblogs-explain — 解释层（画像 / 来源贡献 / 评分）

何时使用

  • 用户问 "BestBlogs 为什么推这条？"
  • 用户想看自己的兴趣画像摘要。
  • 用户想知道哪些订阅源对我的早报贡献最大，作为决定是否继续关注的依据。
  • 用户想知道某条资源的评分。

原语

原语CLI说明
bestblogs.interest_profile.getbestblogs explain profile --json画像摘要
bestblogs.source.contribution.listbestblogs explain sources --days 7 --json近 N 天关注源对早报的贡献
bestblogs.resource.score.getbestblogs explain score <id> --json资源评分

相关字段（发现类响应内联）

注意：发现类接口的每条候选已内联 candidateSource / selectionReason / fallbackApplied / personalized。想解释 "为什么推这条"，首先看这些字段——不一定要单独调解释接口。只在需要更深入（画像维度 / 源级别 / 评分维度）时才走 explain 原语。

动作

画像摘要

bash
bestblogs explain profile --json

关心字段：

  • onboardingCompleted
  • languagePreference
  • driftDetected — 漂移检测（true 时建议提醒用户重设兴趣）
  • explicitInterests[] — 用户主动选择的标签
  • implicitInterests[] — 行为推断
  • recentActiveTopics[] — 近 7 天活跃主题

来源贡献

bash
bestblogs explain sources --days 7 --json

返回按 count 倒序的来源列表：

json
{
  "success": true,
  "data": {
    "days": 7,
    "contributions": [
      { "sourceId": "SRC_xxx", "sourceName": "阮一峰的网络日志", "count": 4 },
      ...
    ]
  }
}

资源评分

bash
bestblogs explain score RAW_xxx --json

返回包括 score / resourceType / language / qualified / sourceName。

错误处理

  • 401 → 未登录（profile 和 sources 需要登录；score 对公共资源可匿名）
  • 空列表（贡献为 0）→ 告知用户 "近 N 天没有被推荐的来源"，建议调整 --days 或关注更多高质量源

组合建议

  • 用户抱怨 "最近推荐很一般" → 依次调 profile（看 drift）+ sources（看哪些源在拖后腿）+ 建议用户去 bestblogs-subscription 取关贡献少的源（本期无此 skill，提示用户到网站操作）
  • Agent 给用户输出候选时：把 candidateSource + selectionReason 显示在每条旁边；当用户追问 "为什么这条分高"时才调 explain score

Frequently asked questions

What does the Bestblogs Explain AI skill do?

Use this skill when the user wants to understand the "why" behind BestBlogs recommendations — view their interest profile summary, see which followed sources are driving their daily brief, or inspect the score breakdown of a specific resource. Triggers include "BestBlogs 为什么推这条 / 看我的画像 / 我关注的源哪些最有价值 / 这篇文章评分多少", "why did BestBlogs recommend this", "which of my followed sources contribute most", "show score for this resource". Invokes the `bestblogs` CLI.

Why use Bestblogs Explain on TypingMind?

Because you install it once and use it with any model. Bestblogs Explain 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 Bestblogs Explain in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ginobefun/BestBlogs/tree/main/skills/bestblogs-explain. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Bestblogs Explain?

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 Bestblogs Explain?

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

Is the Bestblogs Explain AI skill free?

It is published on GitHub by ginobefun. Check the repository for licensing terms. 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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