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Daily Logs

OrganizationPopular
memodb-io
daily-logs

Track daily activity logs and summaries for the user. TRIGGER BY: read/edit user memory

Overview

Publishermemodb-io
RepositoryAcontext
Skill namedaily-logs
Stars
3.7K
Forks
336
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by memodb-io on GitHub. Read the source before you install it.

Installation

Install the Daily Logs 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/memodb-io/Acontext.git /tmp/Acontext
mkdir -p .claude/skills
cp -r /tmp/Acontext/src/server/api/go/configs/skill_templates/daily-logs .claude/skills/daily-logs
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Daily Logs 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 Logs 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 Logs 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 Logs

Record the user's daily activities, progress, decisions, and learnings in a structured, chronological format.

File Structure

Each day has its own file named yyyy-mm-dd.md (e.g., 2025-06-15.md). Create a new file for each new day; append entries to the existing file if one already exists for today.

File Format: yyyy-mm-dd.md

content format, for example:

# yyyy-mm-dd

## [short description]
- [1-3 sentence summary of what happened]

Guidelines

  • One file per day, multiple entries per file (one per task)
  • Use ISO date format: yyyy-mm-dd
  • Keep entries concise — focus on what matters for future reference
  • Do not duplicate information already captured in other skills
  • Always refer to the user in third person ("The user requested X", "The user decided Y"), never use first-person pronouns

Frequently asked questions

What does the Daily Logs AI skill do?

Track daily activity logs and summaries for the user. TRIGGER BY: read/edit user memory

Why use Daily Logs on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/memodb-io/Acontext/tree/main/src/server/api/go/configs/skill_templates/daily-logs. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Daily Logs?

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 Logs?

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

Is the Daily Logs AI skill free?

Yes. It is published on GitHub by memodb-io 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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