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Bestblogs Capture

CommunityPopular
ginobefun
bestblogs-capture

Use this skill when the user wants to save, annotate, or review their BestBlogs reading — create/list/update/remove bookmarks, add highlights with optional notes, view highlight-only vs. note-only lists, and manage reading history. Triggers include "收藏这篇 / 给这段划线 / 加个笔记 / 看我的收藏 / 我的笔记 / 我的阅读历史 / 删掉这条历史", "bookmark this on BestBlogs", "highlight this quote", "show my notes", "clear my BestBlogs reading history". Invokes the `bestblogs` CLI.

Overview

Publisherginobefun
RepositoryBestBlogs
Skill namebestblogs-capture
Stars
4K
Forks
363
Bundled files
Instructions only
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.

  • 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 Capture 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-capture .claude/skills/bestblogs-capture
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Bestblogs Capture 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 Capture 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 Capture 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-capture — 收藏 / 划线 / 笔记 / 历史

何时使用

  • 用户想收藏一篇内容(可选附备注 / tag / folder)。
  • 用户想对某段原文做划线;若传了 note,就等价于 "笔记"。
  • 用户想回看自己的划线列表、笔记列表(两者共享底层实体 UserHighlightEntity,靠 entryType 区分)。
  • 用户想管理阅读历史(查看 / 删除单条 / 清空)。

数据模型要点(务必理解)

notehighlight 同表不同 entryType

  • entryType=highlightnote 为空
  • entryType=notenote 非空

不是两个独立接口。GET /me/highlights?entryType=highlight?entryType=note 做服务端过滤(v2.0.7 起支持)。

原语

原语CLI说明
bestblogs.bookmark.createbestblogs capture bookmark add <id> --note ...幂等
bestblogs.bookmark.listbestblogs capture bookmark list --json分页
bestblogs.bookmark.updatebestblogs capture bookmark update <id> --note ...
bestblogs.bookmark.deletebestblogs capture bookmark remove <id>
bestblogs.highlight.createbestblogs capture highlight add -r <id> -t "..." -n "..."-n 即为 note
bestblogs.highlight.listbestblogs capture highlights --jsonentryType=highlight
bestblogs.note.listbestblogs capture notes --jsonentryType=note
bestblogs.highlight.updatebestblogs capture highlight update <highlightId> -n ...
bestblogs.highlight.deletebestblogs capture highlight remove <highlightId>
bestblogs.history.listbestblogs capture history list --json分页
bestblogs.history.deletebestblogs capture history remove <resourceId>
bestblogs.history.clearbestblogs capture history clear --yes危险,需确认

动作示例

收藏(幂等)

bash
bestblogs capture bookmark add RAW_xxx --note "值得反复读" --json

已收藏的资源重复 add 不会报错,返回已有记录。

划线 + 笔记

bash
# 纯划线(entryType=highlight)
bestblogs capture highlight add -r RAW_xxx -t "精彩段落原文" --json

# 划线 + 笔记(entryType=note)
bestblogs capture highlight add -r RAW_xxx -t "精彩段落原文" -n "我的思考" --color "#FFEB3B" --json

分开查看

bash
bestblogs capture highlights --resource RAW_xxx --json   # 只看该资源的划线
bestblogs capture notes --limit 20 --json                # 全部笔记(note 非空)

历史

bash
bestblogs capture history list --limit 30 --json
bestblogs capture history remove RAW_xxx --json          # 删一条
bestblogs capture history clear --yes --json             # 清空(危险)

错误处理

  • 409 / CONFLICT on highlight create 重复 → 告知用户该段已划线
  • 404 / NOT_FOUND on remove/delete → 幂等对待,告诉用户 "已不存在",不视为流程失败
  • 401 → 未登录,提示 bestblogs auth login

组合建议

深读完一条内容(bestblogs-read)后:

  1. 如果整体有价值 → bookmark.create
  2. 有具体金句 → highlight.create(可选 note)
  3. 隔天回顾 → note.list / bookmark.list
  4. 不想再看到已读内容 → history.delete

Frequently asked questions

What does the Bestblogs Capture AI skill do?

Use this skill when the user wants to save, annotate, or review their BestBlogs reading — create/list/update/remove bookmarks, add highlights with optional notes, view highlight-only vs. note-only lists, and manage reading history. Triggers include "收藏这篇 / 给这段划线 / 加个笔记 / 看我的收藏 / 我的笔记 / 我的阅读历史 / 删掉这条历史", "bookmark this on BestBlogs", "highlight this quote", "show my notes", "clear my BestBlogs reading history". Invokes the `bestblogs` CLI.

Why use Bestblogs Capture on TypingMind?

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

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

Which AI models can use Bestblogs Capture?

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 Capture?

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

Is the Bestblogs Capture 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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