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Todays Daily Plan

Community
twhsi
todays-daily-plan

Write spoken daily planning notes into an Obsidian Mandala Grid day-plan Markdown file. Use when the user says 今日的日計畫, 今日的日計劃, 日計畫, 日計劃, 青蛙, frog, 🐸, 九宮, 曼陀羅, Mandala Grid, 時段, time block, 日記, or asks to place spoken tasks/events/reflections into today's Obsidian daily plan sections.

Overview

Publishertwhsi
Repositoryskills
Skill nametodays-daily-plan
Stars
259
Forks
37
Bundled files
3
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 twhsi on GitHub. Read the source before you install it.

Installation

Install the Todays Daily Plan 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/twhsi/skills/tree/main/skills/todays-daily-plan
  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/twhsi/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/todays-daily-plan .claude/skills/todays-daily-plan
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Todays Daily Plan 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 Todays Daily Plan 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 Todays Daily Plan 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.

今日的日計畫

Overview

Use this skill to turn the user's spoken Chinese or mixed-language notes into precise updates inside an Obsidian Mandala Grid day-plan Markdown file. Preserve Mandala Grid section markers, route content into today's 8 time slots, and append diary reflections without rewriting unrelated days.

Default target file, when the user does not provide another path: /Users/twhsi/+ 02 Area_Mandlal Diary 曼陀羅手帳/00 Daily/1.a 2026 日計劃.md

Required Contract

Before manually editing a Mandala Grid day-plan file, read references/mandala-grid-day-plan.md. Prefer scripts/update_today_plan.py for section-safe updates.

Only operate on files with mandala: true and mandala_plan.enabled: true. Do not alter <!--section: ...--> IDs except to add missing child sections N.1 through N.8 under an existing day root section.

Workflow

  1. Identify the target date. Use the user's explicit date if provided; otherwise use today's local date.
  2. Read the target Markdown and confirm Mandala Grid day-plan frontmatter.
  3. Resolve the day root section from the plan year and date. Example: 2026-06-18 is section 169.
  4. Ensure the day has 8 child sections and slot headings from mandala_plan.slots.
  5. Classify each spoken item into a slot.
  6. Before writing, inspect the target day or run the script without --apply to preview. If the task resumes after an interruption, append only entries that are still missing.
  7. Append content to the chosen section. Never overwrite existing content unless the user explicitly asks to replace it.
  8. Read back the target day section after writing and summarize the changed section(s). When the user asks for syntax, show the exact spoken prompt pattern they can reuse.

Slot Routing

Use explicit time first, then semantic cues.

  • 1 / 陽光起床運動: 起床, 太陽, 陽光, 跑步, 運動, 靜坐, 早餐, 心情, 習慣.
  • 2 / 09-12: 上午, 早上, 09, 9點, 10點, 11點, 日文課, 深度工作.
  • 3 / 12-13: 中午, 午餐, 午睡, 12點, 領午餐.
  • 4 / 13-15: 13點, 14點, 下午一點, 下午兩點, 午後開始.
  • 5 / 15-18: 15點, 16點, 17點, 下午三點到六點.
  • 6 / 18-19: 18點, 六點, 六點半, 晚餐, 傍晚.
  • 7 / 19-21: 晚上, 19點, 20點, 合唱, 管委會, 晚間課, 會議.
  • 8 / 日記: 日記, 反省, 感謝, 心得, 今天發生, 回顧, 感覺.

If the user says 青蛙, frog, or 🐸, preserve that marker in the entry. Route it by the surrounding time words; if no time is present, ask one short clarification or append to 日記 when it is clearly a reflection.

If the user gives both a vague spoken time and an explicit slot, prefer the explicit slot. Example: 八點那一格...十八點這格 should go to 18-19 when the user names 18點 or 18-19. Preserve the user's chosen names, but normalize obvious speech/context slips when the surrounding context is clear, such as 小木 to 小睦 in this diary and Scale loops to Skill Loops in a Skill/GitHub topic.

Entry Formatting

  • Keep short events as plain text: 羽球, 林君, Esor.
  • Use unchecked tasks only when the user frames the item as a to-do: - [ ] 老實寫書.
  • Use checked tasks only when the user says it is done: - [x] 買午餐.
  • Use numbered list items for diary entries and continue the existing number sequence.
  • Preserve Obsidian links, Brain links, Markdown tables, image embeds, and code blocks.

Script

Use the script for deterministic writes:

bash
python3 scripts/update_today_plan.py \
  --file "/Users/twhsi/+ 02 Area_Mandlal Diary 曼陀羅手帳/00 Daily/1.a 2026 日計劃.md" \
  --date 2026-06-18 \
  --slot "09-12" \
  --text "羽球" \
  --apply

Preview without writing by omitting --apply. Use --kind diary, --kind task, --kind done, or --kind plain when the output format should be explicit.

The script reports duplicate_skipped: true when the exact entry already exists in the target section. Treat that as a successful no-op, especially when continuing after a partial write.

Examples

User: 今日的日計畫,上午羽球,下午三點林君,日記 Miru 來訪,狀況不是很好,加油。

Action:

  • Append 羽球 to 09-12.
  • Append 林君 to 15-18.
  • Append the Miru sentence as the next numbered diary item.

User: 🐸 晚上耿彬 Hermes+Codex 活動。

Action: Append 🐸 耿彬 Hermes+Codex 活動 to 19-21.

User:

text
請做 2026-06-19 五 的日計畫:
09-12 準備晚上直播投影片。
13-15 14:00 小睦到達。
18-19 晚上和小睦一起吃披薩。
19-21 20:00 騰訊直播,主題:Hermes、Skill Loops、GitHub。

Action:

  • Preview or inspect 2026-06-19 first.
  • Append each line into the matching slot only if missing.
  • Read back the 2026-06-19 section and report the reusable syntax if requested.

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 Todays Daily Plan AI skill do?

Write spoken daily planning notes into an Obsidian Mandala Grid day-plan Markdown file. Use when the user says 今日的日計畫, 今日的日計劃, 日計畫, 日計劃, 青蛙, frog, 🐸, 九宮, 曼陀羅, Mandala Grid, 時段, time block, 日記, or asks to place spoken tasks/events/reflections into today's Obsidian daily plan sections.

Why use Todays Daily Plan on TypingMind?

Because you install it once and use it with any model. Todays Daily Plan 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 Todays Daily Plan in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/twhsi/skills/tree/main/skills/todays-daily-plan. 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 Todays Daily Plan?

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 Todays Daily Plan?

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

Is the Todays Daily Plan AI skill free?

It is published on GitHub by twhsi. 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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