Bestblogs Discover logo

Bestblogs Discover

CommunityPopular
ginobefun
bestblogs-discover

Use this skill when the user wants to find today's most worth-reading content from BestBlogs, browse personalized feeds, check trending items, search specific topics, or explore curated newsletters. Triggers include "今天有什么值得读的 / BestBlogs 推荐 / 本周 BestBlogs 热趋 / 搜一下 AI coding / 看关注源的最新 / 最近有什么好周刊", "what's worth reading today", "bestblogs trending this week", "bestblogs discover", "search BestBlogs". Invokes the `bestblogs` CLI.

Overview

Publisherginobefun
RepositoryBestBlogs
Skill namebestblogs-discover
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 Discover 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-discover .claude/skills/bestblogs-discover
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Bestblogs Discover 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 Discover 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 Discover 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-discover — 发现（今日 / 个性化 / 关注流 / 热趋 / 搜索 / 周刊）

何时使用

  • 用户想快速了解 "今天最值得读的内容"（最重要触发）。
  • 用户想找某个主题、作者、内容类型的 BestBlogs 精选。
  • 用户想浏览周刊。

原语

原语CLI说明
bestblogs.discover.todaybestblogs discover today --json带多源回退链的今日候选
bestblogs.discover.for_youbestblogs discover for-you --json个性化推荐（需 Pro）
bestblogs.discover.followingbestblogs discover following --json关注源流
bestblogs.discover.trendingbestblogs discover trending --period week --json热趋内容（today / week / month）
bestblogs.discover.searchbestblogs discover search "<q>" --json关键词搜索
bestblogs.discover.newsletter.listbestblogs discover newsletters --json周刊列表
bestblogs.discover.newsletter.getbestblogs discover newsletter <id> --json单期周刊

前置检查

bash
bestblogs auth status --json

多数命令需要 API Key；search、newsletters 在某些配置下也可匿名消费。若未登录，提示先 bestblogs auth login。

核心动作：discover today

bash
bestblogs discover today --limit 20 --json

返回：

json
{
  "success": true,
  "data": {
    "candidates": [
      {
        "resourceId": "RAW_xxx",
        "title": "...",
        "url": "...",
        "resourceType": "ARTICLE",
        "language": "en_US",
        "score": 92,
        "sourceName": "...",
        "candidateSource": "my_brief",
        "selectionReason": "今日个性化精选",
        "fallbackApplied": false,
        "personalized": true
      }
    ],
    "primarySource": "my_brief",
    "fallbackApplied": false,
    "details": { "triedSources": ["my_brief", "for_you"] }
  }
}

candidateSource 枚举：

  • my_brief — Pro 个性化早报
  • public_brief — 公共精选（非 Pro 或未生成个性化时）
  • public_brief_fallback — 公共早报降级兜底
  • for_you — For You 推荐
  • following — 关注源

展示给用户时应按 candidateSource 打徽标，并显式标注降级状态（fallbackApplied=true 时）。

其它动作

bash
# 个性化流
bestblogs discover for-you --limit 15 --lang en_US --json

# 热趋（今日 / 本周 / 本月）
bestblogs discover trending --period week --limit 20 --json
bestblogs discover trending --period today --lang zh_CN --json

# 搜索
bestblogs discover search "AI coding" --type ARTICLE --sort score --limit 10 --json

# 周刊
bestblogs discover newsletters --limit 10 --json
bestblogs discover newsletter <id> --json

错误处理

  • 403 / FORBIDDEN on for-you → 用户非 Pro，降级到 following 或 today
  • 404 / NOT_FOUND on brief 相关 → 当日早报尚未生成，尝试 public_brief 或 following
  • 429 / RATE_LIMITED → CLI 已退避一次；仍失败时退出并告诉用户稍后重试
  • 空 candidates → 向用户报告 "今日无推荐"，建议做 bestblogs intake setup 建立/修正画像

组合建议

  • 拿到候选后，对感兴趣的条目链式调用 bestblogs-read skill 做深读
  • 高价值条目链式调用 bestblogs-capture skill 收藏/加笔记
  • 想知道 "为什么推这条"？把 candidateSource / selectionReason 直接展示；更深层的解释（如贡献来源的评分）用 bestblogs-explain skill

Frequently asked questions

What does the Bestblogs Discover AI skill do?

Use this skill when the user wants to find today's most worth-reading content from BestBlogs, browse personalized feeds, check trending items, search specific topics, or explore curated newsletters. Triggers include "今天有什么值得读的 / BestBlogs 推荐 / 本周 BestBlogs 热趋 / 搜一下 AI coding / 看关注源的最新 / 最近有什么好周刊", "what's worth reading today", "bestblogs trending this week", "bestblogs discover", "search BestBlogs". Invokes the `bestblogs` CLI.

Why use Bestblogs Discover on TypingMind?

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

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

Which AI models can use Bestblogs Discover?

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 Discover?

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

Is the Bestblogs Discover 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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