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Obsidian Todo Collector

Community
cafe3310
obsidian-todo-collector

从 Obsidian 知识库中扫描指定时间范围内未完成事件,生成/更新未完成事件整理文档

Overview

Publishercafe3310
Repositorypublic-agent-skills
Skill nameobsidian-todo-collector
Stars
256
Forks
30
Bundled files
3
LicenseApache-2.0
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 cafe3310 on GitHub. Read the source before you install it.

Installation

Install the Obsidian Todo Collector 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/cafe3310/public-agent-skills/tree/main/skills_parked/obsidian-todo-collector
  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/cafe3310/public-agent-skills.git /tmp/public-agent-skills
mkdir -p .claude/skills
cp -r /tmp/public-agent-skills/skills_parked/obsidian-todo-collector .claude/skills/obsidian-todo-collector
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Obsidian Todo Collector 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 Obsidian Todo Collector 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 Obsidian Todo Collector 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.

Obsidian 未完成事件整理

此技能用于在指定时间范围内,从 Obsidian 笔记中提取并汇总所有未完成的事件和规划性事项,生成一个统一的「未完成事件整理」文档,便于后续跟踪和管理。

处理流程

按照以下步骤执行:

步骤1 - 确定范围与目标

  • 输入:用户指定的时间范围。仓库文档文件名前面必然是 YYYY-MM-DD(-hh),可以以通过文件名来筛选出指定时间范围内的文档。
  • 目标文档:新建名为 YYYY-MM-DD-HH 📅 未完成事件整理.md 的文档。该文档的结构是
md
## 文档生成说明
- 生成原因:整理指定时间范围内的未完成事件,便于后续跟踪和管理。
- 时间范围:{{时间范围}}

## 当前状态
所有待处理文档列表:
- [ ] {{待处理文档列表,每个文档使用 [[文件名]] 链接,处理完成后更新为已完成 [x] 状态}}

## 未完成事件列表
{{未完成事件列表,每个都是 ### 🟥 名称。若已经完成,则更新为 ### 🟩 名称}}

## 未完成规划性事项列表
{{未完成规划性事项列表,每个都是 ### 🟥 名称,若已经完成,则更新为 ### 🟩 名称}}

当前状态部分要在下面的循环中实时更新,显示已经处理到哪个日期的文档,以及剩余待处理的文档列表。

其中,「未完成事件」和「未完成规划性事项」的每一项都使用三级标题(###)进行标注,便于在文档中清晰展示。

「未完成事件」指的是具体工作,包括计划的、正在进行中的、未完成的任务。每个事件都应该包含以下信息:

  • 名称
  • 出现在哪些文档(可能是多份文档列表)
  • 当前状态

「未完成规划性事项」指的是更加抽象的规划性事项,例如项目规划、战略规划等,虽然没有具体的截止日期,但仍然需要跟踪和管理。每个规划性事项也应该包含以下信息:

  • 名称
  • 出现在哪些文档(可能是多份文档列表)
  • 当前状态

步骤2 - 处理主循环

执行下列循环,以依次处理「未完成事件整理」文档「当前状态」中的每个文档:

步骤2.1. 确定当前批次的「当前文档」:从未完成处理的文档中取出一批,每批最多 3 个文件。

步骤2.2. 预检该批文档:使用 Skill 提供的 Python 脚本进行预检,确保文档符合处理条件。 bash python3 scripts/pre_check.py [file] ... --lines 15

步骤2.3. 通过上述命令的结果,判断 - 文档是否属于「文档摘录」,「语音转写」这两种 - 或文档是否太大(超过 64KB)或太长(超过 1000 行) 如果是,使用 Ask User,询问用户是否跳过(默认选项是跳过)。 如果用户选择跳过,进入下一个文档的处理。

步骤2.4. 阅读文档全文。关注以下内容: - 是否包含未完成事件或工作(尤其是以 🟥 标记的未完成事项)。 - 是否包含未完成规划性事项(尤其是以 🟥 标记的未完成规划性事项)。 - 如果包含,提取相关信息(事情描述;出现的文档;当前状态),并将其添加到「未完成事件整理」文档的相应部分。无须过度处理信息,保持原文的描述即可。 - 如果文档中提及的事项显然已经完成(例如,以 🟩 标记),则更新「未完成事件整理」文档中该事项的状态为完成(🟩)。如果不确定是否完成,可以保留原状态(🟥),以便后续跟踪。

步骤2.5. 对「未完成事件整理」文档用多次批量编辑的方式,更新 未完成事件列表 和 未完成规划性事项列表,并编辑状态有更新的事项。注意,必须要更新待办事项部分。

步骤2.6. 在更新了待办事项之后,更新「未完成事件整理」文档的「当前状态」部分,给已经处理完成的文档打已完成 [x] 。这样可以清晰地知道已经处理了哪些文档,哪些文档还未处理。

步骤2.7. 跳回 步骤2.1(确定当前批次的「当前文档」),继续处理下一批文档,直到处理完指定时间范围内的所有文档。

编写要求

  • 描述平实、清晰、直接。尽量摘录原始内容,保持原汁原味。
  • 用链接 [[target-doc]] 引用来源,确保可追溯性。
  • 编辑文件的时候,用多次批量 replace 工具进行增量更新,禁止使用 write_file 全量覆盖,以确保不会误删之前已经记录的内容。
  • 编辑文件时,倾向于「追加更新」而不是修改已有内容。我会自己判断每个事项的最终状态。
  • 对于「未完成事件整理」文档,在你不确定内容时,尽量先读再写。我会在合适时机 compress 或断点续传,你无须节省 token。
  • 如果断点续传,在读取「未完成事件整理」的全文之后,直接从「处理主循环」开始。
  • 必须在每一批文件处理后,更新文档中的待办和规划待办。不要提前看下一批文件,即使内容相关。你必须按照批次处理,逐步更新文档。

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 Obsidian Todo Collector AI skill do?

从 Obsidian 知识库中扫描指定时间范围内未完成事件,生成/更新未完成事件整理文档

Why use Obsidian Todo Collector on TypingMind?

Because you install it once and use it with any model. Obsidian Todo Collector 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 Obsidian Todo Collector in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cafe3310/public-agent-skills/tree/main/skills_parked/obsidian-todo-collector. 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 Obsidian Todo Collector?

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 Obsidian Todo Collector?

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

Is the Obsidian Todo Collector AI skill free?

Yes. It is published on GitHub by cafe3310 under the Apache-2.0 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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