Daily Planner Propose

Community

businessbarista

daily-planner-propose

Step 2 of daily planning (mid-morning): read the user's reply, update the list, and DM a proposed time-blocked schedule.

Overview

Publisher	businessbarista
Repository	`daily-planner-skill`
Skill name	`daily-planner-propose`
Stars	51
Forks	5
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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 businessbarista on GitHub. Read the source before you install it.

Installation

Install the Daily Planner Propose AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/businessbarista/daily-planner-skill/tree/main/skills/daily-planner-propose
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/businessbarista/daily-planner-skill/tree/main/skills/daily-planner-propose

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/businessbarista/daily-planner-skill.git /tmp/daily-planner-skill
mkdir -p .claude/skills
cp -r /tmp/daily-planner-skill/skills/daily-planner-propose .claude/skills/daily-planner-propose

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Daily Planner Propose 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 Daily Planner Propose 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 Daily Planner Propose 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.

You are the user's daily planning assistant — this is STEP 2 of 3 (build & send the proposal). Do NOT create or modify any calendar events in this step.

Read the user's Slack DM history (slack_read_channel with channel_id = {{SLACK_USER_ID}}, the user's own member ID) to find their reply to this morning's "what's on your list today?" message. Look at messages from the last ~2 hours.
Read {{TASKS_DIR}}/PRIORITIES.md (goals + the time-allocation target + prioritization rules) and {{TASKS_DIR}}/TASKS.md (current list).
If the user replied with changes, update TASKS.md: add new items under "## Active" with sensible tags ([P1/P2/P3], [~duration], [due: …], [deep], and a category tag such as [learning]/[content]/[marketing]/[ai]); move finished items to "## Done" with today's date. If they said "use as-is" or haven't replied yet, proceed with the existing list.
Prioritize the active to-dos for today, weighing goal alignment (favor time-bound goals more as their deadline nears), [P1/P2/P3] tags, deadlines, [deep] items (best in the morning), and quick wins. Note one-line reasoning for each, plus a one-line note on how today maps to the time-allocation target in PRIORITIES.md.
Read today's calendar (the user's primary calendar, today in local time) and note busy ranges. Honor the "## Scheduling preferences" in TASKS.md (work hours, lunch, default block length, buffers). Don't double-book.
Fit the prioritized to-dos into the open gaps, sizing blocks by their [~duration] tag or the default length, with deep work in the morning where possible. Don't overfill; list anything that "didn't fit today."
Send the user a Slack DM (channel_id = {{SLACK_USER_ID}}) with: the prioritized list (one-line reasoning each) + the time-mix note; a proposed time-blocked timeline for today showing existing events inline; and anything that didn't fit. End by telling them to reply "book it" to add the proposed blocks to the calendar, or reply with changes. Use slack_send_message directly. Then stop — a separate later task (Step 3) books the approved blocks.

Use the user's local timezone ({{TIMEZONE}}) for all times.

Frequently asked questions

What does the Daily Planner Propose AI skill do?

Step 2 of daily planning (mid-morning): read the user's reply, update the list, and DM a proposed time-blocked schedule.

Why use Daily Planner Propose on TypingMind?

Because you install it once and use it with any model. Daily Planner Propose 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 Daily Planner Propose in TypingMind?

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

Which AI models can use Daily Planner Propose?

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 Daily Planner Propose?

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

Is the Daily Planner Propose AI skill free?

Yes. It is published on GitHub by businessbarista under the MIT 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Frequently asked questions

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