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Daily Journal

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huytieu
daily-journal

A passive daily work journal that Claude keeps FOR you so you never have to write it yourself. Append short entries after meaningful work (what was done, what you focused on, artifacts touched) to 01-daily/journal/YYYY-MM-DD.md. Run a guided reflection at night or in the morning. Use when you run /daily-journal, say "log this to my journal", "add to today's journal", "reflect on today/yesterday", or when finishing a meaningful chunk of work in any session.

Overview

Publisherhuytieu
RepositoryCOG-second-brain
Skill namedaily-journal
Stars
1.2K
Forks
138
Bundled files
Instructions only
LicenseMIT
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 huytieu on GitHub. Read the source before you install it.

Installation

Install the Daily Journal 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/huytieu/COG-second-brain.git /tmp/COG-second-brain
mkdir -p .claude/skills
cp -r /tmp/COG-second-brain/skills/daily-journal .claude/skills/daily-journal
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Daily Journal 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 Journal 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 Journal 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.

Daily Journal

Purpose

Keep an automatic, passive journal of your workdays so you don't have to write one. Claude logs what got done as it happens; you optionally run a reflection later. This is distinct from /weekly-checkin (which is a manual reflection where you supply the input) — here Claude is the author and the log accrues in the background.

Two modes:

  1. log (default, mostly invoked implicitly) — append a short entry to today's journal.
  2. reflect — read the day's log (+ recent days) and run a guided reflection with you.

Storage

  • One file per day: 01-daily/journal/YYYY-MM-DD.md (use date +%F for today's date; never guess).
  • Create the file from the template below on the first entry of the day.
  • Append only — never rewrite earlier entries. Newest entries go at the bottom of the Log section.

When to log (procedure for the always-apply trigger)

The trigger itself lives in CLAUDE.md § Daily Journal (ALWAYS APPLY), because a skill body is lazily loaded and cannot fire itself. This section is the procedure that trigger runs.

After finishing a meaningful unit of work, append one entry. Meaningful = would matter to future-you or shows how the day was spent. Examples:

  • Shipped/committed something, published a note/brief/slide, filed or moved tracker issues (Linear/Jira/GitHub).
  • Made a decision, changed direction, or hit a notable blocker.
  • Produced a deliverable file (spec, plan, analysis, report).
  • A substantive research/synthesis session that produced an artifact.

Do NOT log: trivial reads, one-line lookups, mid-task scratch work, this journal's own writes, or anything you asked to keep out. When in doubt, one concise line is better than none. Do not interrupt the flow to announce logging — just append and carry on.

Entry format

Append under the ## Log section:

### HH:MM — <short title of what got done>
- **Focus:** <the thread/project this served, e.g. a product line, a squad, the blog>
- **Did:** <1-3 bullets, concrete, past tense>
- **Artifacts:** <files/PRs/links touched, or "—">
- **Signal:** <optional: decision made, blocker hit, mood/energy if you mentioned it, or omit>

Keep it tight. Times use 24h local (date +%H:%M). Match memory/CLAUDE.md conventions: no em-dashes, your product naming rules, no self-authored next-steps (only record what actually happened or what you explicitly said).

Daily file template (first entry of the day)

markdown
---
date: YYYY-MM-DD
type: journal
---

# Journal — YYYY-MM-DD (Weekday)

> Auto-kept by Claude. Reflection appended below when you run it.

## Focus of the day
_Inferred from entries; leave blank until there's signal._

## Log

## Reflection
_Empty until you run `/daily-journal reflect`._

Mode: reflect

Triggered by /daily-journal reflect [today|yesterday|YYYY-MM-DD] (default: today), or when you say "reflect on today/yesterday" or "let's do the journal".

  1. Read the target day's journal file. If it doesn't exist or the Log is thin, say so and offer to reconstruct from other signals (today's brief in 01-daily/briefs/, recent commits, braindumps) before proceeding — but do NOT fabricate.
  2. Read the previous 2-3 journal files for continuity (recurring threads, carried-over blockers).
  3. Summarize the day back to you in a few lines: main focus, what shipped, what stalled. Then ask 2-4 light reflection questions adapted to what the log shows (e.g. "The eval work ate the afternoon — did it move?" rather than generic prompts). Keep it conversational, low-friction; this is meant to be a 2-minute thing at night or in the morning.
  4. Write your answers + a short synthesis into the ## Reflection section of that day's file. Fill in ## Focus of the day if still blank.
  5. If the reflection surfaces a durable fact (a decision, a changed priority, a lesson), also write/update the relevant 05-knowledge/ note or a memory per the Brain-First protocol — the journal is ephemeral daily context, not the durable store.

Weekly roll-up (optional)

If you ask for a "week in review" or on a weekly reflection, read the last 7 journal files and synthesize themes into 01-daily/weekly/ (match the existing naming there). Do not auto-run this.

Guardrails

  • Single-file discipline: everything for a day lives in that one journal file. Never split into per-entry files.
  • Privacy: personal/1:1 content stays in the journal only; never leaks into team-facing briefs.
  • Never publish the journal anywhere external.
  • This is your private log. Write plainly and honestly; if the day stalled, say so.

Frequently asked questions

What does the Daily Journal AI skill do?

A passive daily work journal that Claude keeps FOR you so you never have to write it yourself. Append short entries after meaningful work (what was done, what you focused on, artifacts touched) to 01-daily/journal/YYYY-MM-DD.md. Run a guided reflection at night or in the morning. Use when you run /daily-journal, say "log this to my journal", "add to today's journal", "reflect on today/yesterday", or when finishing a meaningful chunk of work in any session.

Why use Daily Journal on TypingMind?

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

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

Which AI models can use Daily Journal?

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 Journal?

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

Is the Daily Journal AI skill free?

Yes. It is published on GitHub by huytieu 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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